11.07.2015 Views

Economic Reforms and Health Sector in India - Indian Institute of ...

Economic Reforms and Health Sector in India - Indian Institute of ...

Economic Reforms and Health Sector in India - Indian Institute of ...

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong>with Special Reference to Orissa,Karnataka <strong>and</strong> Maharashtra:Reflections from NSS 28 th , 42 nd <strong>and</strong> 52 nd RoundsNayanatara S. N.Series Editors:Aasha Kapur Mehta, Pradeep SharmaSujata S<strong>in</strong>gh, R.K.TiwariP. R. Panchamukhi2006


Market Access For Agricultural Products


Table <strong>of</strong> Contents1 Introduction 123456789101112Morbidity <strong>and</strong> Utilisation 2Data Base 3NSSO <strong>Health</strong> Surveys: Morbidity <strong>and</strong> Utilisation <strong>of</strong> <strong>Health</strong> Care Facilities 4Earlier Research 6Morbidity Pr<strong>of</strong>ile 8Untreated Ailments 13Source <strong>of</strong> treatment 15Type <strong>of</strong> Treatment 19How Much Do People Spend on Treatment? 21Loss <strong>of</strong> Household Income Due to Illness (Outpatient) 27Messages from NSS <strong>in</strong> the Light <strong>of</strong> Ongo<strong>in</strong>g <strong>Economic</strong> <strong>Reforms</strong> 28


Market Access For Agricultural Products131415Summary <strong>and</strong> Insights for Policy Initiatives 33Annexures 36References 52List <strong>of</strong> Tables <strong>and</strong> ChartsList <strong>of</strong> Tables1. Morbidity Report<strong>in</strong>g (<strong>India</strong>) 82. Disease-specific morbidity rates for selected diseases <strong>in</strong> <strong>India</strong>from the NSS 28 th <strong>and</strong> 52 nd rounds 93 Percentage distribution <strong>of</strong> untreated ailments by reason for not tak<strong>in</strong>g treatment<strong>in</strong> <strong>India</strong> - NSS 42 nd <strong>and</strong> 52 nd rounds 134 Percentage distribution <strong>of</strong> non-hospitalized treatment by source <strong>of</strong> treatment <strong>in</strong><strong>India</strong> from 52 nd <strong>and</strong> 42 nd rounds 155 State wise percentage <strong>of</strong> ailments receiv<strong>in</strong>g non-hospitalized treatment fromgovernment sources (public hospital, PHCs & public dispensary) 166 Per 1000 distribution <strong>of</strong> hospitalized treatments by type <strong>of</strong> hospital <strong>in</strong> <strong>India</strong>dur<strong>in</strong>g 1986–87 <strong>and</strong> 1995–96 177 Hospitalized treatments received from public provider 178 Hospitalized cases as per social groups under different sources<strong>of</strong> treatment <strong>in</strong> <strong>India</strong> 189 Percentage distribution <strong>of</strong> hospitalized cases dur<strong>in</strong>g last 365 days bytype <strong>of</strong> ward <strong>in</strong> government & private hospitals 1910 Average total expenditure per hospitalization by type <strong>of</strong> hospital<strong>in</strong> <strong>India</strong> from 52 nd round 2111 Average total expenditure per hospitalization by type <strong>of</strong> hospitalfor rural <strong>and</strong> urban areas (<strong>in</strong> constant prices with base year 1980-81) 2212–A: Average medical <strong>and</strong> other related non-medical expenditure pertreated ailment dur<strong>in</strong>g 15 days by source <strong>of</strong> treatment <strong>and</strong> per capita publicexpenditure on health - Outpatient (OP) from 52 nd round (<strong>in</strong> current prices) 23


12–B: Cost <strong>of</strong> OP treatment - Average total expenditure per illness(<strong>in</strong> constant prices with base year 1980-81) 2413–A: Average total expenditure for hospitalized <strong>and</strong> non-hospitalizedtreatment for each State/U.T. <strong>in</strong> <strong>India</strong> (<strong>in</strong> constant prices with base year 1980-81) 2513–B: Average total expenditure for hospitalized <strong>and</strong> non-hospitalizedtreatment for each State/U.T. (<strong>in</strong> current prices) 2614 Loss <strong>of</strong> household <strong>in</strong>come per ailment (52 nd Round) 27List <strong>of</strong> Charts1 Cost <strong>of</strong> IP treatment - Average total expenditure per illness (<strong>in</strong> constant prices) 222 Cost <strong>of</strong> OP treatment - Average total expenditure per illness (<strong>in</strong> constant prices) 24


Market Access For Agricultural Products


12–B: Cost <strong>of</strong> OP treatment - Average total expenditure per illness(<strong>in</strong> constant prices with base year 1980-81) 2413–A: Average total expenditure for hospitalized <strong>and</strong> non-hospitalizedtreatment for each State/U.T. <strong>in</strong> <strong>India</strong> (<strong>in</strong> constant prices with base year 1980-81) 2513–B: Average total expenditure for hospitalized <strong>and</strong> non-hospitalizedtreatment for each State/U.T. (<strong>in</strong> current prices) 2614 Loss <strong>of</strong> household <strong>in</strong>come per ailment (52 nd Round) 27List <strong>of</strong> Charts1 Cost <strong>of</strong> IP treatment - Average total expenditure per illness (<strong>in</strong> constant prices) 222 Cost <strong>of</strong> OP treatment - Average total expenditure per illness (<strong>in</strong> constant prices) 24


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong><strong>India</strong> with Special Reference to Orissa,Karnataka <strong>and</strong> Maharashtra:Reflections from NSS 28 th , 42 nd <strong>and</strong> 52 nd Rounds1Nayanatara S. N.*Introduction<strong>India</strong> is a signatory to the Alma Ata Declaration (1978) <strong>of</strong><strong>Health</strong> for All by 2000 A.D. Even three decades after wecommitted to it, the progress made <strong>in</strong> the health sector isnot impressive. Despite the substantial fall <strong>in</strong> total fertilityrate <strong>and</strong> <strong>in</strong>fant mortality rate along with <strong>in</strong>creased life expectancy,eradication <strong>of</strong> small pox <strong>and</strong> gu<strong>in</strong>ea worm diseases,morbidity <strong>and</strong> mortality rates cont<strong>in</strong>ue to be high <strong>in</strong>the country. Malaria, which was eradicated, came back <strong>in</strong> the1980s. Water-borne diseases <strong>and</strong> Tuberculosis (TB) cont<strong>in</strong>ueto be the major causes <strong>of</strong> morbidity. There is emergence <strong>of</strong>new diseases viz. AIDS <strong>and</strong> Hepatitis-A, which are communicable<strong>and</strong> for which there is no guaranteed remedy.Structural Adjustment <strong>in</strong>troduced <strong>in</strong> the country over thelast decade has brought <strong>in</strong> changes <strong>in</strong> all sectors <strong>of</strong> the <strong>India</strong>neconomy. The health sector has been subjected to policychanges due to changes <strong>in</strong> pattern <strong>of</strong> resource allocation,health <strong>and</strong> drug policies, flow <strong>of</strong> technology, trade agreements<strong>and</strong> flow <strong>of</strong> external assistance. In the light <strong>of</strong> thesedevelopments an attempt has been made <strong>in</strong> this paper toexam<strong>in</strong>e the changes <strong>in</strong> morbidity <strong>and</strong> the utilisation <strong>of</strong> healthcare services <strong>in</strong> <strong>India</strong> with special reference to Karnataka,Maharashtra <strong>and</strong> Orissa us<strong>in</strong>g the National Sample SurveyOrganisation’s (NSSO) published survey results for the 28 th ,42 nd <strong>and</strong> 52 nd Rounds.The morbidity estimates reflect the overall health status <strong>of</strong> thepopulation. Morbidity <strong>in</strong> a population could be due to manyfactors, both controllable <strong>and</strong> uncontrollable (or natural). Morbiditythat occurs due to malnutrition, under nutrition, lack <strong>of</strong>health education, lack <strong>of</strong> immunisation, lack <strong>of</strong> health care facilities<strong>and</strong> lack <strong>of</strong> other preventive <strong>and</strong> promotional measures, canbe reduced or avoided. Morbidity related to age <strong>and</strong> geneticfactors cannot be easily prevented, though the extent <strong>of</strong> suffer<strong>in</strong>gcan be reduced or delayed with the help <strong>of</strong> modern technology.Morbidity or illness imposes a heavy burden on the <strong>in</strong>dividual<strong>and</strong> society. There is loss <strong>of</strong> earn<strong>in</strong>gs to the family<strong>and</strong> loss <strong>of</strong> productivity to the society due to illness. Moreover,dur<strong>in</strong>g illness, medical care <strong>and</strong> consumption are f<strong>in</strong>ancedby dis<strong>in</strong>vestments, loss <strong>of</strong> sav<strong>in</strong>gs <strong>and</strong> borrow<strong>in</strong>g.Prolonged illness can lead to serious debt <strong>and</strong> impoverishment.Morbidity can affect educational status <strong>in</strong> a family.Education <strong>of</strong>ten requires out–<strong>of</strong>–pocket expenditure <strong>and</strong>the f<strong>in</strong>ancial hardship reduces children’s opportunities foreducation both at home <strong>and</strong> <strong>in</strong> school (Mead et al, 1992).*The views expressed <strong>in</strong> this paper are those <strong>of</strong> the author <strong>and</strong> do not necessarily reflect the views <strong>of</strong> GOI, UNDP or IIPA.1


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra2Morbidity <strong>and</strong> UtilisationFoster (1986) refers to morbidity as the condition <strong>of</strong>be<strong>in</strong>g diseased or morbid. It is the <strong>in</strong>cidence <strong>of</strong> a diseaseor illness i.e., the ratio <strong>of</strong> sick to well persons <strong>in</strong> acommunity. A person is said to be sick when he is suffer<strong>in</strong>gfrom a disease or reports illness. Illness may exist<strong>in</strong> the absence <strong>of</strong> a diagnosed disease, as when a persondoes not feel well <strong>and</strong> is unable to fulfil his normal,social <strong>and</strong> economic roles. Illness is the state that is perceivedby the <strong>in</strong>dividual when he or she is suffer<strong>in</strong>g fromdisease <strong>and</strong> sickness is the state that develops as areaction to illness.Utilisation <strong>of</strong> health care facilities refers to the use <strong>of</strong> facilitiessuch as government hospitals, Primary <strong>Health</strong> Centres(PHCs), Employees State Insurance (ESI) cl<strong>in</strong>ics/hospitals,private doctors, private cl<strong>in</strong>ics, private hospitals <strong>and</strong> charitable<strong>in</strong>stitutions. The details are gathered on the basis <strong>of</strong> report<strong>in</strong>gby patients dur<strong>in</strong>g a household survey. Utilisation data revealsthe people’s preference for a particular health care facility<strong>and</strong> also the availability <strong>of</strong> health care services. Nonutilisationquestions the usefulness <strong>of</strong> exist<strong>in</strong>g health care services.Other factors like non-severity <strong>of</strong> illness, f<strong>in</strong>ancial problems<strong>and</strong> lack <strong>of</strong> awareness could also be reasons for nonutilisation.2


3Data BaseNational Sample Survey (NSS) data (28 th , 42 nd , 52 ndRounds) provides useful <strong>in</strong>sights about the <strong>in</strong>cidence <strong>and</strong>prevalence <strong>of</strong> morbidity across states accord<strong>in</strong>g to fractilegroups, age, place <strong>of</strong> treatment, rural <strong>and</strong> urban category,attend<strong>in</strong>g adult education class, social groups, etc. Theseprovide a base for underst<strong>and</strong><strong>in</strong>g <strong>in</strong>ter–state variations <strong>in</strong>morbidity conditions <strong>and</strong> utilisation <strong>of</strong> services over time.Morbidity surveys conducted by NSSO do not follow auniform pattern. Though the objectives are the same, thereare differences <strong>in</strong> the reference period, group<strong>in</strong>g <strong>of</strong> diseases,classification <strong>of</strong> the number <strong>of</strong> ail<strong>in</strong>g persons accord<strong>in</strong>gto fractile groups, source <strong>and</strong> type <strong>of</strong> treatmentetc. In the 28 th Round (1973-74), state wise all <strong>India</strong> <strong>in</strong>formationis available only on temporary <strong>and</strong> chronic ailmentsby sex, age, area (rural <strong>and</strong> urban) <strong>and</strong> type <strong>of</strong> ailments. Inthe 42 nd Round (1986–87), the survey was conducted <strong>in</strong> asample <strong>of</strong> 8,346 villages <strong>and</strong> 4,568 urban blocks. The referenceperiod for hospitalised illness was 365 days preced<strong>in</strong>gthe date <strong>of</strong> survey. For other ailments – treated <strong>and</strong>untreated (outpatients) the reference period was 30 days.For hospitalised cases, <strong>in</strong>cidence <strong>and</strong> prevalence rates areavailable. For outpatients, only the prevalence rate is given,i.e., the proportion <strong>of</strong> persons with ailments. In the 52 ndRound (1995–1996), the reference period for enquiry onmorbidity (non-hospitalised/outpatients treated or untreated)was 15 days preced<strong>in</strong>g the date <strong>of</strong> enquiry. Forhospitalised treatment, <strong>in</strong>formation was collected for everyevent <strong>of</strong> hospitalisation <strong>of</strong> a member, whether liv<strong>in</strong>gor diseased, at the time <strong>of</strong> survey, dur<strong>in</strong>g the 365 dayspreced<strong>in</strong>g the date <strong>of</strong> enquiry.Published sources i.e., NSSO’s Sarvekshana for the 28 th<strong>and</strong> 42 nd Rounds <strong>and</strong> the Report on Morbidity <strong>and</strong> Ailmentsfor the 52 nd Round are used for descriptive <strong>and</strong>comparative analysis. The present analysis for the 52 ndRound is based on the data collected by NSSO under theCentral Sample <strong>in</strong> 7,663 villages <strong>and</strong> 4,991 urban blockscover<strong>in</strong>g 71,284 households <strong>in</strong> rural areas <strong>and</strong> 49,658 households<strong>in</strong> urban blocks.3


NSSO <strong>Health</strong> Surveys: Morbidity <strong>and</strong> Utilisation <strong>of</strong> <strong>Health</strong> Care Facilities<strong>in</strong>significant proportion (1 to 2%) <strong>of</strong> sick <strong>in</strong> urban <strong>and</strong>rural areas) dur<strong>in</strong>g the 52 nd Round.PAP: Ratio or Proportion <strong>of</strong> Ail<strong>in</strong>g Persons with ailmentsobserved dur<strong>in</strong>g the reference period <strong>of</strong> 30 days preced<strong>in</strong>gthe date <strong>of</strong> survey, to the total number <strong>of</strong> persons.Acute ailment: Short duration (less than 30 days) ailments.Chronic ailment: Long duration (30 days or more)ailments.Fractile group: Us<strong>in</strong>g the monthly per capita consumptionexpenditure (MPCE) based on the data collected forbroad heads <strong>of</strong> consumption expenditure for each samplehousehold, population was classified <strong>in</strong>to fractile groupsseparately for rural <strong>and</strong> urban areas.Hospitalisation: A person is regarded as hav<strong>in</strong>g beenhospitalised if he/she has availed <strong>of</strong> medical servicesas an <strong>in</strong>patient (except childbirth) <strong>in</strong> any medical <strong>in</strong>stitution.5


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra5Earlier ResearchUs<strong>in</strong>g the survey results <strong>of</strong> the NSS 42 nd Round, Krishnan(1999) reported that cost <strong>of</strong> treatment was highest for stateswhere facilities were least developed. Krishnan argues thatrural patients, particularly the bottom groups, paid morefor health care <strong>and</strong> the cost <strong>of</strong> outpatient treatment couldbe reduced if primary health care is readily accessible to therural population. Tak<strong>in</strong>g the average cost <strong>of</strong> treatment foreach state based on the <strong>in</strong>formation provided by the NSS,Krishnan has estimated the relative burden <strong>of</strong> treatment as aratio <strong>of</strong> average cost to the per capita state domestic <strong>in</strong>come(only direct burden <strong>of</strong> treatment). Baru’s study (1999)us<strong>in</strong>g the 42 nd Round results, highlighted that more than 50percent <strong>of</strong> the bottom 20 percent <strong>and</strong> top 20 percent <strong>in</strong>comegroups <strong>in</strong> rural areas, <strong>in</strong> a majority <strong>of</strong> the states, usedpublic <strong>in</strong>stitutions for hospitalised cases <strong>and</strong> the larger percentage<strong>of</strong> only the top 20 percent <strong>in</strong> urban areas (<strong>in</strong> developedstates) used private hospitals dur<strong>in</strong>g 1986-1987. This<strong>in</strong>dicates that public <strong>in</strong>stitutions provide the major part <strong>of</strong><strong>in</strong>patient care. Baru reported that the dependence on publichospitals for hospitalisation dur<strong>in</strong>g 1986-1987 was 55 percent<strong>in</strong> rural areas <strong>and</strong> 60 percent <strong>in</strong> urban areas <strong>in</strong> the country.In poor states like Orissa the dependence on public <strong>in</strong>stitutionsfor hospitalised care was reported to be more than80 percent. In such a health care scenario, Baru says that itwould be difficult to cut back on public expenditure onsecondary <strong>and</strong> tertiary sectors both on welfare <strong>and</strong> politicalconsiderations, as both private <strong>and</strong> voluntary sector servicesare skewed <strong>in</strong> favour <strong>of</strong> urban <strong>and</strong> better-developed states<strong>and</strong> provide more outpatient care.Studies also highlight that there is bias <strong>in</strong> terms <strong>of</strong> gender,class <strong>and</strong> social groups <strong>in</strong> morbidity <strong>and</strong> utilisation <strong>of</strong> health6care services. Poor <strong>and</strong> disadvantaged sections such asScheduled Castes (SCs) <strong>and</strong> Scheduled Tribes (STs) areforced to spend a higher proportion <strong>of</strong> their <strong>in</strong>come onhealth care than the better-<strong>of</strong>f sections (Gumber, 1997).The estimates worked out on the basis <strong>of</strong> NSS per capitaprivate expenditure details reveal that the share <strong>of</strong> per capitamedical expenditure <strong>in</strong> total per capita expenditure variedfrom Rs. 2.29 to Rs. 2.82 for people below the povertyl<strong>in</strong>e <strong>and</strong> from Rs. 9.03 to Rs. 11.61 for the top 10 percent<strong>of</strong> the expenditure class dur<strong>in</strong>g 1986-87 to 1995-96 (seeAnnex – III, Table A-1). Sen, Gita <strong>and</strong> others (2002), useddata from NSS for the 42 nd <strong>and</strong> 52 nd Round <strong>and</strong> fromother empirical studies to exam<strong>in</strong>e the changes dur<strong>in</strong>g thereform period address<strong>in</strong>g the question <strong>of</strong> health equity <strong>in</strong>terms <strong>of</strong> gender biases <strong>and</strong> economic class differentials.They argued that there is significant gender bias as shownby the higher percentage <strong>of</strong> untreated diseases amongwomen <strong>in</strong> 1986-87. It is also argued that the percentage <strong>of</strong>treated <strong>and</strong> untreated diseases reported by women is underestimated<strong>in</strong> NSS Rounds, as sexual <strong>and</strong> reproductivediseases are not reported <strong>and</strong> report<strong>in</strong>g would be higherif tra<strong>in</strong>ed female <strong>in</strong>vestigators collect <strong>in</strong>formation fromwomen after <strong>in</strong>itial rapport build<strong>in</strong>g.Us<strong>in</strong>g the NSS (1973–74 & 1986–87), National Council<strong>of</strong> Applied <strong>Economic</strong> Research [(NCAER) (1990 & 1993)]<strong>and</strong> Central Statistical Organisation (CSO) data, Shariff <strong>and</strong>others (1999) have projected the burden <strong>of</strong> disease <strong>and</strong>cost <strong>of</strong> ill health for the N<strong>in</strong>th Plan. Us<strong>in</strong>g the data onutilisation <strong>of</strong> health services <strong>and</strong> the cost <strong>of</strong> ill health,a case is made for new strategies for allocation <strong>of</strong>


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra6Morbidity Pr<strong>of</strong>ile6.1 Morbidity Report<strong>in</strong>g(i) Overall Morbidity (per 1000)The overall morbidity rate, that is the number <strong>of</strong> personswho reported sickness (proportion <strong>of</strong> persons with ailmentsto total population) dur<strong>in</strong>g the reference period <strong>of</strong> 30 days <strong>in</strong>the 42 nd Round was 64 <strong>and</strong> 31 persons respectively for rural<strong>and</strong> urban areas. In the 52 nd Round, the number <strong>of</strong> ail<strong>in</strong>gpersons was 55 <strong>in</strong> rural areas <strong>and</strong> 54 <strong>in</strong> urban areas dur<strong>in</strong>g thereference period <strong>of</strong> 15 days. The number <strong>of</strong> ail<strong>in</strong>g personsfor 30 days recall period derived from the15 days recall period survey estimates, (derived to enable comparisonsbetween the 42 nd <strong>and</strong> 52 nd Round) reveals that thenumber <strong>of</strong> ail<strong>in</strong>g persons <strong>in</strong> the 52 nd Round was 86 <strong>in</strong> ruralareas <strong>and</strong> 84 <strong>in</strong> urban areas. This <strong>in</strong>dicates that there is an <strong>in</strong>crease<strong>in</strong> morbidity episodes.Table 1 gives the prevalence rates (PR) <strong>of</strong> the ailment <strong>and</strong>the number (per 1000) <strong>of</strong> ail<strong>in</strong>g persons (PAP) over differentNSS Rounds.The prevalence rates given <strong>in</strong> Table 1 show that morbidityrates have <strong>in</strong>creased over time (28 th to 52 nd Round) both<strong>in</strong> rural <strong>and</strong> urban areas. The number <strong>of</strong> ail<strong>in</strong>g personswas highest <strong>in</strong> 1961–62 (17 th Round), but decl<strong>in</strong>ed <strong>in</strong> 1973-74 (28 th Round). The rate <strong>of</strong> decl<strong>in</strong>e <strong>in</strong> report<strong>in</strong>g was 76percent for urban areas <strong>and</strong> 51 percent for rural areas. Asper the derived estimates (for 30 days based on 15 daysdata) for the 52 nd Round, there is an <strong>in</strong>crease <strong>in</strong> the number<strong>of</strong> ail<strong>in</strong>g persons. In all the Rounds, morbidity report<strong>in</strong>gis slightly higher <strong>in</strong> rural areas. The rate <strong>of</strong> <strong>in</strong>crease <strong>in</strong>morbidity report<strong>in</strong>g <strong>in</strong> urban areas is very high (171%) ascompared to rural areas (34%) over the 42 nd to 52 nd Rounds.Due to methodological differences <strong>in</strong> conduct<strong>in</strong>g the surveys,the differences <strong>in</strong> morbidity pr<strong>of</strong>ile should be takenas a generalised scenario.Dur<strong>in</strong>g 1986-87, on an average 149 lakh persons werehospitalised <strong>in</strong> rural <strong>India</strong> <strong>and</strong> 26 lakh <strong>in</strong> urban <strong>India</strong>. About56 percent <strong>of</strong> the <strong>in</strong>patients were males <strong>and</strong> 44 percent werefemales both <strong>in</strong> rural <strong>and</strong> urban areas. The prevalence rateTable 1: Morbidity Report<strong>in</strong>g (<strong>India</strong>)1961–62 1973–74 1986–87 1995–96 1995–9617 th Round 28 th Round 42 nd Round 52 nd Round 52 nd RoundPAP PR PAP PAP estimated derived PAP(30 days) (15 days) (30 days) (15 days) (30 days)Rural Person 132 43 64 55 86Male 139 47 64 54 84Female 123 40 63 57 89Urban Person 131 42 31 54 84Male 133 43 30 51 81Female 128 41 33 58 89Source: NSSO (1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd round (1995 – 96), Report No.441, p–18.8


Morbidity Pr<strong>of</strong>ile<strong>of</strong> hospitalised cases was 28 <strong>and</strong> 17 per 1000 persons respectively<strong>in</strong> rural <strong>and</strong> urban areas. Dur<strong>in</strong>g1995–96, about two percent <strong>of</strong> the urban population <strong>and</strong> 1.3percent <strong>of</strong> the rural population were hospitalised i.e., the prevalencerate <strong>of</strong> hospitalisation was 13 <strong>and</strong> 20 per 1000 personsrespectively for rural <strong>and</strong> urban sectors. This reveals thathospitalisation is <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> urban areas <strong>and</strong> has decl<strong>in</strong>ed <strong>in</strong>rural areas. These changes <strong>in</strong>dicate the follow<strong>in</strong>g possibilities.(a) There is a trend <strong>of</strong> admitt<strong>in</strong>g patients even for m<strong>in</strong>orillnesses <strong>in</strong> urban areas. Acute <strong>and</strong> other diseases likediarrhoea, ulcers, bronchitis, heart problems, cancer,cataract etc., which require immediate attention <strong>and</strong>sometimes surgery are <strong>in</strong>creas<strong>in</strong>g <strong>in</strong> urban areas. The52 nd survey results <strong>in</strong>dicate that there is <strong>in</strong>creas<strong>in</strong>g report<strong>in</strong>g<strong>of</strong> such type <strong>of</strong> diseases.(b) With <strong>in</strong>creas<strong>in</strong>g coverage by urban private doctors <strong>of</strong>nearby villages facilitated by transport facilities or dueto <strong>in</strong>creas<strong>in</strong>g rural outpatients visit<strong>in</strong>g private doctorsfor acute illnesses, the <strong>in</strong>cidence <strong>of</strong> hospitalisation mighthave reduced <strong>in</strong> rural areas.(c) Rural patients might have avoided hospitalisation dueto lack <strong>of</strong> access <strong>and</strong> lack <strong>of</strong> f<strong>in</strong>ances. The same reasonscould be valid for rural <strong>in</strong>patients also.(ii) DiseasesTable 2 presents the prevalence <strong>and</strong> <strong>in</strong>cidence rate (per1,00,000) for major chronic <strong>and</strong> acute diseases respectivelyfor 28 th <strong>and</strong> 52 nd Round.Acute DiseasesInjuries due to accidents have <strong>in</strong>creased both <strong>in</strong> rural <strong>and</strong>urban areas due to the <strong>in</strong>creased use <strong>of</strong> vehicles. The <strong>in</strong>cidence<strong>of</strong> dysentery, diarrhoea <strong>and</strong> cholera is higher <strong>and</strong>has <strong>in</strong>creased (1995-96) both <strong>in</strong> rural <strong>and</strong> urban areas. This<strong>in</strong>dicates that there is need for improvement <strong>in</strong> the supply<strong>of</strong> safe dr<strong>in</strong>k<strong>in</strong>g water <strong>and</strong> sanitation services both <strong>in</strong> rural<strong>and</strong> urban areas. Due to non–report<strong>in</strong>g <strong>of</strong> illness separatelyfor these diseases <strong>in</strong> the 52 nd Round, it is not possibleto present the rate <strong>of</strong> change <strong>in</strong> the prevalence <strong>of</strong> thesediseases separately over the years.Table 2: Disease-specific morbidity rates for selected diseases <strong>in</strong> <strong>India</strong>from the NSS 28 th <strong>and</strong> 52 nd RoundsDisease Rural Urban1973–74 1995–96 1973–74 1995–96(28 th Round) (52 nd Round) (28 th Round) (52 nd Round)Chronic diseases: Prevalence rate (per 100,000)Tuberculosis 117 83 137 63Leprosy 40 11 25 9Epilepsy 28 14 17 24Piles 65 13 61 32Acute diseases: Incidence rate (per 100,000)Measles 17 11 14 14Cholera 3 * 3 *Dysentery 12 * 35 *Diarrhoea 27 * 22 *Diarrhoea & dysentery * 269 * 230(<strong>in</strong>clud<strong>in</strong>g cholera)Injuries due to 39 63 54 83accidentsNote: * <strong>in</strong>dicates that data on the specific disease were as not collected separately <strong>in</strong> the survey.Source: NSSO (1998) Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, the 52 nd round, (Report No. 441)9


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraChronic DiseasesIn the 28 th Round, <strong>in</strong> addition to diabetes <strong>and</strong> hypertension,which were prevalent <strong>in</strong> the urban areas <strong>of</strong> all threestates, <strong>in</strong> each state, there existed several other peculiarchronic diseases. In rural Maharashtra, report<strong>in</strong>g was morefor leprosy, peptic ulcer <strong>and</strong> arthritis. In Karnataka, diabetes<strong>and</strong> hypertension were also prevalent <strong>in</strong> rural areas. Orissahad a higher prevalence <strong>of</strong> mental illness, peptic ulcer, rheumatism<strong>and</strong> kidney stones both <strong>in</strong> rural <strong>and</strong> urban areas.Table 2 shows that <strong>of</strong> the chronic diseases, the prevalence<strong>of</strong> epilepsy <strong>and</strong> piles has reduced (1973-74 to 1995-96)both <strong>in</strong> rural <strong>and</strong> urban areas, though it cont<strong>in</strong>ues to be amajor problem <strong>in</strong> urban areas. There is <strong>in</strong>creased report<strong>in</strong>g<strong>of</strong> epilepsy cases <strong>in</strong> urban areas. There is no change <strong>in</strong>the <strong>in</strong>cidence <strong>of</strong> measles cases <strong>in</strong> urban areas (1973-74 to1995-96). There is a good reduction <strong>in</strong> the report<strong>in</strong>g <strong>of</strong>leprosy cases <strong>in</strong> rural <strong>and</strong> urban areas. Asthma was a majorchronic disease dur<strong>in</strong>g the 28 th Round (not shown <strong>in</strong> Table2) with highest prevalence <strong>of</strong> 376 (per 1,00,000) <strong>in</strong> rural<strong>and</strong> 355 (per 1,00,000) <strong>in</strong> urban areas <strong>in</strong> the country. Orissahad a comparatively lower prevalence <strong>of</strong> asthma both <strong>in</strong>rural <strong>and</strong> urban areas. Details <strong>of</strong> prevalence <strong>of</strong> asthmadur<strong>in</strong>g the 52 nd Round are not given <strong>in</strong> NSSO reports.The other most common chronic disease that prevaileddur<strong>in</strong>g the 28 th Round <strong>in</strong> rural <strong>and</strong> urban areas <strong>in</strong> the countrywas TB, with a prevalence rate <strong>of</strong> 117 <strong>and</strong> 137 respectivelyper one lakh population. Though it has come downto 83 (rural) <strong>and</strong> 63 (urban) over the years (1995-1996), itis still a cause <strong>of</strong> concern <strong>in</strong> both the areas.(iii) AgeMorbidity prevalence is generally found to be higher amongchildren <strong>and</strong> the elderly. NCAER (1992) <strong>and</strong> National Family<strong>Health</strong> Surveys [(NFHS) (1998-99)] also <strong>in</strong>dicate this. Inthe 28 th Round, the <strong>in</strong>cidence <strong>of</strong> acute ailments was higheramong <strong>in</strong>fants <strong>and</strong> children <strong>in</strong> the age group one to fouryears <strong>and</strong> the elderly i.e., above 60 years <strong>in</strong> rural areas. Inrural Maharashtra, report<strong>in</strong>g was slightly higher for uppermiddle age groups (45-59 years). In the urban areas <strong>of</strong> allthe three states, morbidity report<strong>in</strong>g was slightly higheramong upper middle age groups than the elderly. Age wisereport<strong>in</strong>g is not given for the 42 nd Round (published data).Dur<strong>in</strong>g the 52 nd Round also the report<strong>in</strong>g for any type <strong>of</strong>ailments <strong>in</strong> rural areas is higher for the elderly <strong>and</strong> children.The <strong>in</strong>cidence <strong>of</strong> morbidity due to chronic diseases is loweramong the children (0–14 years). Children generally sufferfrom acute illnesses <strong>and</strong> receive immediate attention fromparents before they turn chronic. In urban areas also thereis a similar morbidity pattern. Child morbidity due to acutediseases is more <strong>in</strong> urban areas <strong>and</strong> more so <strong>in</strong> Orissa. Thiscould be due to lack <strong>of</strong> preventive measures likeimmunisation, sanitation <strong>and</strong> proper supply <strong>of</strong> dr<strong>in</strong>k<strong>in</strong>gwater. The number <strong>of</strong> persons suffer<strong>in</strong>g from chronic illnessesis higher among those above forty <strong>and</strong> the elderly.The <strong>in</strong>cidence <strong>of</strong> morbidity for acute <strong>and</strong> other diseases <strong>in</strong>all the age groups <strong>and</strong> for both rural <strong>and</strong> urban areas ishigher <strong>in</strong> Orissa.As observed <strong>in</strong> the 52 nd Round, children suffer from acutediarrhoea, dysentery, cholera, fever, cough <strong>and</strong> bronchitisboth <strong>in</strong> rural <strong>and</strong> urban areas. Jaundice, epilepsy, locomotor<strong>and</strong> congenital deformities are the chronic diseases sufferedby children. In addition, rural children report TB <strong>and</strong> earproblems. Jo<strong>in</strong>t pa<strong>in</strong>, hypertension, gastritis, amoebiasis, diseases<strong>of</strong> the heart <strong>and</strong> leprosy are chronic ailments prevalentamong the middle aged <strong>in</strong> rural areas. In addition to theailments due to these diseases, urban middle-aged groupsalso suffered from diabetes. Cough, bronchitis, fever, diarrhoea<strong>and</strong> gastroenteritis are the acute ailments suffered bythe middle aged both <strong>in</strong> rural <strong>and</strong> urban areas.The elderly suffer from all the acute ailments specifiedabove. Whoop<strong>in</strong>g cough <strong>and</strong> accidents due to <strong>in</strong>juries <strong>and</strong>violence are also reported to a larger extent among theelderly. Jo<strong>in</strong>t problems, hypertension, diabetes, diseases <strong>of</strong>the eye, ear, heart <strong>and</strong> ur<strong>in</strong>ary tract, leprosy, gastritis, cancer,piles <strong>and</strong> locomotor disability are the chronic diseasessuffered by the elderly.(iv) GenderDur<strong>in</strong>g the 17 th <strong>and</strong> 28 th Rounds, the report<strong>in</strong>g <strong>of</strong> nonhospitalisedillnesses was higher for males <strong>in</strong> rural <strong>and</strong> urbanareas. In the 42 nd Round, male report<strong>in</strong>g was higheronly <strong>in</strong> rural <strong>India</strong> while more females reported illnesses <strong>in</strong>10


Morbidity Pr<strong>of</strong>ileurban <strong>India</strong>, but dur<strong>in</strong>g the 52 nd Round the report<strong>in</strong>g isfound to be higher for females both <strong>in</strong> rural <strong>and</strong> urban<strong>India</strong>. This could be due to <strong>in</strong>creas<strong>in</strong>g awareness via media,health programmes <strong>and</strong> education.Dur<strong>in</strong>g 1973-74, major acute health problems reportedby men <strong>and</strong> women from urban <strong>and</strong> rural areas were dysentery,malaria, <strong>in</strong>fluenza <strong>and</strong> small pox. Men had higherreport<strong>in</strong>g <strong>of</strong> ailments due to accidents. In the 52 nd Round,fever, diarrhoea/dysentery/cholera, cough, bronchitis,whoop<strong>in</strong>g cough <strong>and</strong> diseases <strong>of</strong> the eye/mouth/gum aresome <strong>of</strong> the major acute ailments reported by men <strong>and</strong>women <strong>in</strong> rural <strong>and</strong> urban areas. Report<strong>in</strong>g <strong>of</strong> accidental<strong>in</strong>juries <strong>and</strong> acute respiratory <strong>in</strong>fections are more amongmen <strong>in</strong> both the areas. This could be related to driv<strong>in</strong>g <strong>of</strong>vehicles <strong>and</strong> smok<strong>in</strong>g both <strong>of</strong> which are higher amongmen. Air pollution is an additional factor caus<strong>in</strong>g <strong>in</strong>crease<strong>in</strong> respiratory illnesses.The three common chronic diseases that were prevalentamong men <strong>and</strong> women dur<strong>in</strong>g 1973-74 were asthma,TB <strong>and</strong> rheumatism both <strong>in</strong> rural <strong>and</strong> urban areas. In urbanareas, <strong>in</strong> addition to these diseases, hypertension <strong>and</strong>diabetes were observed among men <strong>and</strong>, hypertension wasobserved among women. The 52 nd Round survey resultsreveal that jo<strong>in</strong>t problems, hypertension, gastritis <strong>and</strong> TBare the common long-term diseases suffered by men <strong>and</strong>women <strong>in</strong> rural areas. In urban areas, there is more report<strong>in</strong>g<strong>of</strong> jo<strong>in</strong>t problems, hypertension, diabetes <strong>and</strong> heartproblems among men <strong>and</strong> women.As per the 52 nd survey results, hospitalised cases per 1000persons are more <strong>in</strong> urban <strong>and</strong> rural Maharashtra as alsorevealed <strong>in</strong> the 42 nd Round. The <strong>in</strong>cidence <strong>of</strong> femalehospitalisation <strong>in</strong> rural areas (per 1000) varied from 11 <strong>in</strong>Orissa to 18 <strong>in</strong> Maharashtra <strong>and</strong>, <strong>in</strong>cidence <strong>of</strong> malehospitalisation varied from 14 <strong>in</strong> Orissa to 20 <strong>in</strong> Maharashtra.In urban areas, female hospitalisation varied from 14 <strong>in</strong> Orissato 25 <strong>in</strong> Maharashtra <strong>and</strong> male hospitalisation varied from17 <strong>in</strong> Karnataka to 27 <strong>in</strong> Maharashtra (per 1000).(v) Social GroupsDur<strong>in</strong>g the 42 nd Round, <strong>of</strong> the total hospitalised cases <strong>in</strong>rural areas, 4.75 percent were STs, 17 percent were SCs<strong>and</strong> 78 percent were others. In urban areas, STs constitutedless than two percent <strong>of</strong> hospitalised cases, SCs were18 percent <strong>and</strong> others were 80 percent.In the 52 nd Round, report<strong>in</strong>g <strong>of</strong> acute <strong>and</strong> any type <strong>of</strong>ailments is higher for SCs <strong>and</strong> STs <strong>in</strong> Orissa both <strong>in</strong> rural<strong>and</strong> urban areas. In Karnataka, SCs have higher report<strong>in</strong>g<strong>of</strong> acute diseases <strong>in</strong> rural <strong>and</strong> urban areas. In MaharashtraSCs have higher report<strong>in</strong>g <strong>of</strong> ailments only <strong>in</strong> urban areas.Report<strong>in</strong>g <strong>of</strong> chronic ailments is also higher among STs <strong>in</strong>Orissa. Morbidity report<strong>in</strong>g (15 days) for chronic <strong>and</strong> anytype <strong>of</strong> ailments <strong>in</strong> the country is higher (except higherreport<strong>in</strong>g <strong>of</strong> acute ailments for SCs) for other (general)groups. But, this is not uniformly found <strong>in</strong> all the states.In the 52 nd Round, the <strong>in</strong>cidence <strong>of</strong> hospitalisation <strong>in</strong> ruralareas <strong>in</strong> all the three states <strong>and</strong> <strong>in</strong> the country is higher amongsocial groups other than SCs/STs, but this is not so <strong>in</strong> urbanareas where the <strong>in</strong>cidence is higher among STs <strong>in</strong>Karnataka <strong>and</strong> Maharashtra <strong>and</strong> among SCs <strong>in</strong> Orissa. Thenumber <strong>of</strong> persons (per 1000) hospitalised is higher forSTs <strong>in</strong> urban <strong>India</strong>. The <strong>in</strong>cidence <strong>of</strong> female hospitalisationis more among SCs/STs than males <strong>and</strong> females fromother social groups <strong>in</strong> rural <strong>and</strong> urban Maharashtra. Femalehospitalisation is lower than male hospitalisation <strong>in</strong>Orissa among all the social groups <strong>in</strong> both rural <strong>and</strong> urbanareas. In Karnataka, the <strong>in</strong>cidence <strong>of</strong> female hospitalisationis higher <strong>in</strong> rural areas for STs <strong>and</strong> others.(vi) Fractile (MPCE) groupsThere is no particular pattern observed <strong>in</strong> the distribution<strong>of</strong> outpatients over the fractile groups <strong>in</strong> the 42 nd Round.Yet, the distribution <strong>in</strong> the 52 nd Round shows that there is<strong>in</strong>creased report<strong>in</strong>g <strong>of</strong> ailments among higher fractilegroups <strong>in</strong> the majority <strong>of</strong> states.In the 42 nd Round, the hospitalised cases were reported tobe more among lower middle-<strong>in</strong>come groups <strong>and</strong> uppermiddle-<strong>in</strong>come groups <strong>in</strong> the country, but <strong>in</strong> urban Orissa,hospitalisation was higher among the lower 20 percent <strong>of</strong>fractile groups.In the 52 nd Round, the <strong>in</strong>cidence <strong>of</strong> male <strong>and</strong> femalehospitalisation is highest for the top most fractile group11


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtrai.e., the rich <strong>in</strong> all the three states <strong>and</strong> <strong>in</strong> the country. Thispattern is observed <strong>in</strong> rural as well as urban areas. Thispattern was not observed uniformly <strong>in</strong> the 42 nd Round.(vii) EducationThe 42 nd Round results showed that percentage distribution<strong>of</strong> hospitalised cases was higher among those with ahigher level <strong>of</strong> adult education. The proportion <strong>of</strong> personswith ailments be<strong>in</strong>g treated was positively associatedwith the level <strong>of</strong> adult education.6.2 Morbidity Report<strong>in</strong>g <strong>and</strong>Surround<strong>in</strong>g EnvironmentDur<strong>in</strong>g the 52 nd Round survey, <strong>in</strong>formation was collectedon the use <strong>of</strong> <strong>in</strong>secticides <strong>in</strong> the premises <strong>of</strong> the house<strong>and</strong> the report<strong>in</strong>g <strong>of</strong> fever (short duration <strong>in</strong>cidence <strong>of</strong>fever). The survey results <strong>in</strong>dicate that sanitation <strong>and</strong> otheraspects have a marg<strong>in</strong>al <strong>in</strong>fluence on health conditions. Inrural areas, <strong>in</strong>cidence <strong>of</strong> fever (per 1000) from householdswith premises sprayed with <strong>in</strong>secticides was higher(by one episode <strong>of</strong> illness). It was higher by two illnessepisodes <strong>in</strong> urban areas. Report<strong>in</strong>g <strong>of</strong> fever cases is16 per 1000 <strong>in</strong> both rural <strong>and</strong> urban areas from householdswith cattle sheds, while it is one case more <strong>in</strong> ruralareas <strong>and</strong> one case less <strong>in</strong> urban areas <strong>in</strong> households, whichdid not have a cattle shed. Report<strong>in</strong>g <strong>of</strong> fever cases ishigher <strong>in</strong> urban households, which had a cattle shed,detached from the house (three cases more per 1000).Report<strong>in</strong>g is less <strong>in</strong> households hav<strong>in</strong>g covered pucca dra<strong>in</strong>s<strong>and</strong> <strong>in</strong> households with underground dra<strong>in</strong>s, both <strong>in</strong> rural<strong>and</strong> urban areas. In houses without dra<strong>in</strong>age, report<strong>in</strong>g<strong>of</strong> ailments is higher <strong>in</strong> both the areas. While the impact<strong>of</strong> the presence <strong>of</strong> a cattle shed <strong>in</strong> the house on healthconditions needs to be probed further, survey results<strong>in</strong>dicate that clean air (free from <strong>in</strong>secticides spray) <strong>and</strong> agood dra<strong>in</strong>age system do have a positive <strong>in</strong>fluence onhealth as a lower number <strong>of</strong> ailments are reported <strong>in</strong>such households (see Annex, Table A-2).6.3 Tobacco Consumption <strong>and</strong>MorbidityWorldwide it is known that tobacco consumption leadsto the occurrence <strong>of</strong> diseases among its consumers, cancerbe<strong>in</strong>g <strong>in</strong> the forefront. Dur<strong>in</strong>g the 52 nd Round, detailswere collected from tobacco consumers on their healthcondition.Prevalence <strong>of</strong> TB among persons aged 10 years <strong>and</strong> above,who do not have any bad habits, is 98 (per 1000) <strong>in</strong> ruralareas <strong>and</strong> 60 <strong>in</strong> urban areas. It is higher among those whosmoke with a prevalence rate <strong>of</strong> 120 (22% more than thosewho do not have any bad habits i.e., 98 per 1000 <strong>in</strong> rural)<strong>in</strong> rural areas <strong>and</strong> 124 (107% more than those who do nothave any bad habits i.e., 60 per 1000 <strong>in</strong> urban) <strong>in</strong> urbanareas. People who consume tobacco <strong>in</strong> ways other thansmok<strong>in</strong>g have the highest prevalence rate <strong>of</strong> TB <strong>in</strong> rural(182) <strong>and</strong> <strong>in</strong> urban (202) areas. Prevalence <strong>of</strong> cancer is higheramong both rural <strong>and</strong> urban smokers <strong>and</strong> hypertension (<strong>in</strong>rural areas) is higher among rural smokers. Yet heart diseasesoccurred more frequently among those who do nothave any bad habits <strong>in</strong> rural areas <strong>and</strong> among those whohave other bad habits (tobacco use other than smok<strong>in</strong>g) <strong>in</strong>urban areas. Hypertension is higher among those who donot have any bad habits <strong>in</strong> urban areas. We can thereforesay that <strong>in</strong> addition to tobacco consumption, other factorslike food, heredity, stress, life style, age etc., could <strong>in</strong>fluencemorbidity. Tobacco is one <strong>of</strong> the major factors caus<strong>in</strong>gmorbidity (see Annexure, Table A-3 <strong>and</strong> A-4).12


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtrathat need to be attended, they are unable to do so, due toseveral other factors like non–availability <strong>of</strong> health carefacilities, higher cost <strong>of</strong> treatment, lack <strong>of</strong> faith, etc.The proportion <strong>of</strong> persons treated to total ail<strong>in</strong>g personsis higher among higher <strong>in</strong>come groups <strong>in</strong> all the three statesas well as <strong>in</strong> the country, except that it was higher for lowerfractile groups <strong>in</strong> urban Karnataka <strong>in</strong> the 42 nd Round <strong>and</strong>higher for lower fractile groups <strong>in</strong> Maharashtra <strong>in</strong> the 52 ndRound. Bias towards the rich <strong>in</strong> medical treatment <strong>of</strong> illnessis higher <strong>in</strong> Orissa as revealed <strong>in</strong> both the 42 nd <strong>and</strong>52 nd Rounds.14


8Source ce <strong>of</strong> Treatment8.1 OutpatientsThe 42 nd survey results revealed that private doctors <strong>and</strong>hospitals treated 69 percent <strong>of</strong> the outpatients <strong>in</strong> rural <strong>and</strong>urban <strong>India</strong> <strong>and</strong> public facilities catered to 26 percent <strong>and</strong>28 percent <strong>of</strong> the outpatients <strong>in</strong> rural <strong>and</strong> urban areas respectively.In the north-eastern states, hilly states, union territories<strong>and</strong> <strong>in</strong> poor states like Orissa <strong>and</strong> Rajasthan, thepublic sector provided largely (>80%) for both outpatient<strong>and</strong> <strong>in</strong>patient care dur<strong>in</strong>g 1986-87. The topography <strong>and</strong>the poverty <strong>in</strong> hilly <strong>and</strong> poor states could be the ma<strong>in</strong> reasonsfor the larger share <strong>of</strong> public hospitals as revealed <strong>in</strong>the 42 nd Round. In Maharashtra, which is a well-devel-oped state only 21 percent <strong>and</strong> 24 percent <strong>of</strong> outpatients<strong>in</strong> rural <strong>and</strong> urban areas had taken treatment <strong>in</strong> public facilities.In Karnataka, a medium developed state; the dependenceon public facilities was 35 percent <strong>and</strong>30 percent respectively for rural <strong>and</strong> urban areas. In Orissa,52 percent <strong>in</strong> rural areas <strong>and</strong> 46 percent <strong>in</strong> urban areasdepended on public facilities. The national average showedthat only five percent <strong>and</strong> one percent <strong>of</strong> outpatients <strong>in</strong>rural <strong>and</strong> urban areas visited PHCs dur<strong>in</strong>g 1986-87. In1995-96, there was no major change <strong>in</strong> utilisation <strong>of</strong> PHCs.Table 4 shows that dur<strong>in</strong>g 1995-96 there was a preferencefor the private sector.Table 4: Percentage distribution <strong>of</strong> non-hospitalized treatment by source <strong>of</strong> treatment <strong>in</strong> <strong>India</strong> from42 nd <strong>and</strong> 52 nd RoundsSource <strong>of</strong> treatment Rural Urban1986–87 1995–96 1986–87 1995–9642 nd Round 52 nd Round 42 nd Round 52 nd RoundPublic hospital 18 11 23 15PHC / CHC 5 6 1 1Public Dispensary 3 2 2 2ESI doctor 0 0 2 1All govt. sources 26 19 28 20Private hospital 15 12 16 16Nurs<strong>in</strong>g home 1 3 1 2Charitable <strong>in</strong>stitution 0 0 1 1Private doctor 53 55 52 55Others 5 10 3 7All non-govt. sources 74 81 72 80Total 100 100 100 100Note : The estimates <strong>of</strong> the 52nd round are based only on the treatments with reported source <strong>of</strong> treatment.Source: NSSO(1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd round(1995-96), Report No.441, p.2215


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraTable 4 <strong>in</strong>dicates that the coverage <strong>of</strong> PHCs <strong>in</strong> urban areasis limited. The utilisation <strong>of</strong> ESI hospitals, which providesubstantial hospital care particularly for <strong>in</strong>dustrial employees,is very low for outpatients. The utilisation <strong>of</strong> ESI doctorsfor outpatient care even <strong>in</strong> an <strong>in</strong>dustrial state likeMaharashtra is less than one percent (not shown <strong>in</strong>Table 4). The location <strong>of</strong> ESI hospitals <strong>in</strong> far <strong>of</strong>f places,limited number <strong>of</strong> hospitals, etc., could be the reason forlower coverage. Data about ESI hospitals treat<strong>in</strong>g <strong>in</strong>patientsis not available <strong>in</strong> NSS reports. ESI hospitals also providehospitalised care.Table 5 shows that there is a reduction <strong>in</strong> the dependenceon public facilities across the states. Yet, <strong>in</strong> Bihar, theutilisation <strong>of</strong> public facilities <strong>in</strong> urban areas <strong>in</strong>creased from17 percent <strong>in</strong> the 42 nd Round to 33 percent <strong>in</strong> the 52 ndRound. This is not so <strong>in</strong> the rural areas <strong>of</strong> Bihar wherethere is a slight decl<strong>in</strong>e <strong>in</strong> dependency.The dependence on public facilities is very low <strong>in</strong> the high<strong>in</strong>comestates viz Punjab <strong>and</strong> Haryana <strong>and</strong> has decl<strong>in</strong>edover the decade (1986-87 to 1995-96).8.2 InpatientsPeople use public facilities more frequently for ailmentsthat require hospitalisation. This is generally because treatmentis free or costs less <strong>in</strong> public hospitals as comparedto private hospitals <strong>and</strong> nurs<strong>in</strong>g homes. Table 6 shows thatdur<strong>in</strong>g the 42 nd Round, all <strong>India</strong> utilisation <strong>of</strong> public facilitiesfor hospitalised treatment was 60 percent for publichospitals <strong>and</strong> three to four percent for PHCs. Even <strong>in</strong> adeveloped state like Maharashtra (Table 7) 45 percent <strong>of</strong>the cases requir<strong>in</strong>g hospitalisation were admitted to publichealth centres.Table 7 shows that <strong>in</strong> Orissa where more than 50 percent<strong>of</strong> the population live below poverty l<strong>in</strong>e (1986–87),16Table 5: State wise percentage <strong>of</strong> ailments receiv<strong>in</strong>g non-hospitalized treatment from governmentsources (public hospital, PHCs & public dispensary)State Rural Urban1986–87 1995–96 1986–87 1995–9642 nd Round 52 nd Round 42 nd Round 52 nd RoundAndhra Pradesh 12 22 16 19Assam 40 29 26 22Bihar 14 13 17 33Gujarat 28 25 18 22Haryana 15 13 19 11Karnataka 32 26 30 17Kerala 32 28 33 28Madhya Pradesh 24 23 28 19Maharashtra 21 16 15 17Orissa 37 38 43 34Punjab 12 7 11 6Rajasthan 46 36 52 41Tamil Nadu 28 25 31 28Uttar Pradesh * 8 14 9West Bengal 16 15 20 19<strong>India</strong> 21 19 24 20Note:1. The estimates <strong>of</strong> the 52nd round are based only on the treatments with reported source <strong>of</strong> treatment.2. * denotes that estimate is not available.Source: NSSO (1998),Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd round (1995-96), Report No.441, p.25


Source <strong>of</strong> TreatmentTable 6: Per 1000 distribution <strong>of</strong> hospitalized treatments by type <strong>of</strong> hospital <strong>in</strong> <strong>India</strong>dur<strong>in</strong>g 1986–87 <strong>and</strong> 1995–96Type <strong>of</strong> hospital Rural Urban1986–87 1995–96 1986–87 1995–96(42 nd Round) (52 nd Round) (42 nd Round) (52 nd Round)Public Hospital 554 399 595 418PHC/CHC 43 48 8 9Public dispensary - 5 - 4All govt. sources 597 438 603 431Private hospital 320 419 296 410Nurs<strong>in</strong>g home 49 80 70 111Charitable <strong>in</strong>stitution 17 40 19 42Others 17 8 12 6All non-govt. sources 403 562 397 569All hospitals 1000 1000 1000 1000Source: NSSO (1998), Report No. 441(52 nd round), p.2888 percent <strong>and</strong> 81 percent <strong>of</strong> the <strong>in</strong>patients respectively <strong>in</strong>rural <strong>and</strong> urban areas took treatment <strong>in</strong> public hospitals/PHCs.The 52 nd Round results show that the utilisation <strong>of</strong> publicfacilities for hospitalised care has decl<strong>in</strong>ed to nearly 32percent <strong>in</strong> both, rural <strong>and</strong> urban areas, <strong>in</strong> Maharashtra. Thecurrent dependence on government hospitals is higher <strong>in</strong>states like Assam, Rajasthan, West Bengal, Orissa <strong>and</strong>Madhya Pradesh, both <strong>in</strong> rural <strong>and</strong> urban areas (1995-96).The use <strong>of</strong> public facilities for treatment requir<strong>in</strong>ghospitalisation corresponds to the percentage share <strong>of</strong> bedsTable 7: Hospitalized treatments received from public providerState 42 nd Round 52 nd Round(percentage distribution) (percentage distribution)Rural Urban Rural UrbanAndhra Pradesh 29.91 37.98 22.5 36.2Assam 90.02 82.33 73.8 65.2Bihar 49.86 45.71 24.7 34.6Gujarat 48.96 59.21 32.1 36.9Haryana 50.96 55.31 30.5 37.3Karnataka 58.02 48.9 45.8 29.8Kerala 43.38 55.65 40.1 38.4Madhya Pradesh 79.23 76.98 53.3 56.0Maharashtra 43.57 46.23 31.2 31.8Orissa 88.06 81.48 90.6 81.0Punjab 47.49 48.77 39.4 27.6Rajasthan 80.01 85.62 64.9 73.1Tamil Nadu 56.15 58.04 41.1 35.7Uttar Pradesh 55.37 59.25 47.1 39.8West Bengal 91.62 73.9 82.0 72.1<strong>India</strong> 59.74 60.26 45.3 43.1Source: NSSO (1992), Sarvekshana (42 nd round, Vol. 15, No.4, p.53 <strong>and</strong> NSSO (1998),Report No. 441(52 nd round), p.29.17


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra<strong>in</strong> government hospitals <strong>in</strong> different states, which is higher<strong>in</strong> Madhya Pradesh, Orissa <strong>and</strong> Rajasthan (not shown <strong>in</strong>Table 7). The dependence on public facilities for hospitalisedtreatment is very low <strong>in</strong> Andhra Pradesh. The percentage<strong>of</strong> beds <strong>in</strong> government hospitals is also very low (10%) <strong>in</strong>Andhra Pradesh as compared to other states.Utilisation <strong>of</strong> <strong>Health</strong> Services byFractile Group <strong>of</strong> Monthly PerCapita Expenditure (MPCE) Class,Region, Gender, , Education <strong>and</strong>Social Groups.Fractile Groups (MPCE): In the 52 nd Round, theutilisation <strong>of</strong> public health facilities for outpatient care, byall the fractile groups <strong>in</strong> rural areas, has decl<strong>in</strong>ed over thedecade (1986-1987 to 1995-1996). The dependence <strong>of</strong> thepoor on primary health care centres has also decl<strong>in</strong>ed <strong>in</strong>rural areas. This clearly <strong>in</strong>dicates that people are seek<strong>in</strong>gmore <strong>and</strong> more private services. The utilisation <strong>of</strong> publichealth facilities <strong>in</strong> urban <strong>India</strong> for outpatient treatment isonly 20 percent. In less developed states like Rajasthan,Madhya Pradesh, Bihar <strong>and</strong> Orissa also, 60 percent to 80percent <strong>of</strong> outpatients <strong>in</strong> urban areas depended on private<strong>and</strong> other facilities.The results <strong>of</strong> the 42 nd Round revealed that the bottom20 percent <strong>of</strong> the fractile groups depended largely onpublic providers for <strong>in</strong>patient services or hospitalisation.However, over the decade, dependence on public providershas decl<strong>in</strong>ed. The percentage dependence on publicproviders varied from 32 percent to 63 percentamong different fractile groups <strong>in</strong> rural areas <strong>in</strong> the 52 ndRound while <strong>in</strong> urban areas, the dependence varied from26 percent to 68 percent. Except the lowest MPCE class<strong>in</strong> rural areas, there is a decl<strong>in</strong>e <strong>in</strong> dependence on publicproviders for hospitalised treatment with a rise <strong>in</strong> MPCEclass (NSS, Report No. 441, 1995-96). This <strong>in</strong>dicates thatthere is need for cont<strong>in</strong>ued supply <strong>of</strong> subsidised healthcare, particularly hospitalised treatment, for the poor.Social groups: In the 42 nd Round, <strong>of</strong> the total hospitalisedcases treated <strong>in</strong> public hospitals, STs constituted 5.48 percent<strong>and</strong> SCs constituted 20.19 percent <strong>in</strong> rural areas. Inurban areas, <strong>of</strong> those who sought treatment <strong>in</strong> governmenthospitals, STs were 1.73 percent <strong>and</strong> SCs were 17.85percent. Classification <strong>of</strong> hospitalised cases, as per socialgroups, under different sources <strong>of</strong> treatment <strong>in</strong> the 42 ndRound, revealed that SCs <strong>and</strong> STs depend more on publichospitals <strong>and</strong> PHCs as compared to other social groups(See Table 8).In the 52 nd Round, though the overall dependence on publichealth care <strong>in</strong>stitutions by all the social groups has comedown, tribal people <strong>and</strong> the SCs still depend more onpublic facilities as compared to private services.Table 8: Hospitalized cases as per social groups under different sources<strong>of</strong> treatment <strong>in</strong> <strong>India</strong>Social Groups Private hospitals PHCs Public hospitalsRural Urban Rural Urban Rural Urban42 nd RoundSC 3.38 1.75 10.17 3.11 5.48 1.73ST 12.29 10.18 20.56 29.83 20.19 17.85Others 84.12 87.78 69.26 66.76 74.09 80.1552 nd RoundSC 16.0 10.0 25.2 20.9 24.3 18.5ST 4.0 2.3 15.0 9.9 8.4 4.1Others 80.0 87.7 59.4 69.2 67.2 77.3Source: NSSO, Sarvekshana (1992-42 nd round) <strong>and</strong> Report No 441(1998-52 nd round, p.165-70)18


9Type ype <strong>of</strong> TreatmentThere is a general compla<strong>in</strong>t by the public <strong>in</strong> both rural<strong>and</strong> urban areas that government health services, whichare free <strong>and</strong> are ma<strong>in</strong>ly for the poor, are not free <strong>in</strong> reality(See Annex, Table A-6 & A-7). The survey results <strong>of</strong> the42 nd <strong>and</strong> 52 nd Rounds support this. In 1986-87, 91 percent<strong>and</strong> 92 percent <strong>of</strong> the hospitalised cases <strong>in</strong> the countryrespectively, <strong>in</strong> rural <strong>and</strong> urban areas, received free treatment<strong>in</strong> government hospitals. In the 52 nd Round, free treatmentwas available only for 39 percent <strong>and</strong> 35 percent <strong>of</strong>hospitalised cases <strong>in</strong> rural <strong>and</strong> urban areas respectively. InOrissa, while, 94 percent <strong>and</strong> 89 percent <strong>of</strong> the hospitalisedcases <strong>in</strong> rural <strong>and</strong> urban areas respectively had receivedfree treatment <strong>in</strong> 1986–87, only 83 percent (rural) <strong>and</strong>74 percent (urban) received free treatment accord<strong>in</strong>g tothe 52 nd Round. In Maharashtra, free treatment is availableto only one-fourth <strong>of</strong> hospitalised cases. Earlier, i.e., <strong>in</strong> the42 nd Round, 91 percent <strong>of</strong> those <strong>in</strong> rural areas <strong>and</strong>89 percent <strong>in</strong> urban areas received free treatment <strong>in</strong> governmenthospitals. In Karnataka also, the proportion <strong>of</strong>those able to access free treatment has decl<strong>in</strong>ed. It is availableto one-fourth <strong>of</strong> the urban patients <strong>and</strong> one-third <strong>of</strong>rural patients. In 1985–86, <strong>in</strong> addition to government hospitals<strong>and</strong> PHCs, hospitals run by public trusts also providedrelief to poor patients to a larger extent. This <strong>in</strong>formationis not available for the 52 nd Round. Table 9 showsthat the percentage <strong>of</strong> free treatment has also decl<strong>in</strong>ed <strong>in</strong>private sector hospitals.None <strong>of</strong> those hospitalised <strong>in</strong> the public sector <strong>in</strong> Orissa <strong>in</strong>the 42 nd Round, paid for special treatment, either <strong>in</strong> ruralor <strong>in</strong> urban areas. In Maharashtra, those pay<strong>in</strong>g for specialtreatment were only from the bottom 10 percent <strong>and</strong> top10 percent <strong>of</strong> fractile groups <strong>in</strong> rural areas <strong>and</strong> from thetop 10 percent <strong>in</strong> urban areas. In the rural areas <strong>of</strong>Karnataka, while higher <strong>in</strong>come groups opted for specialtreatment, all the cases pay<strong>in</strong>g for special treatment <strong>in</strong> urbanareas were from the bottom 10 percent <strong>in</strong>come group.Dur<strong>in</strong>g 1986-87, medic<strong>in</strong>es, facilities <strong>of</strong> x-ray, electrocardiogram(ECG), electroencephalogram (EEG), other diagnostictests <strong>and</strong> physiotherapy <strong>and</strong> radiotherapy wereavailable to 83 percent <strong>of</strong> the outpatients <strong>in</strong> the country.Surgical operation facilities, for patients not treated asTable 9: Percentage distribution <strong>of</strong> hospitalized cases dur<strong>in</strong>g last 365 days by type <strong>of</strong> ward <strong>in</strong>government & private hospitalsStates Free Ward (42 nd Round) Free Ward (52 nd Round)Govt. Private Govt. OtherRural Urban Rural Urban Rural Urban Rural UrbanMaharashtra 91.32 88.95 8.68 11.06 27.30 25.10 1.40 3.50Karnataka 91.33 96.20 8.67 3.80 36.40 23.50 1.40 1.80Orissa 94.35 88.95 5.67 11.05 82.70 73.30 0.40 1.90All <strong>India</strong> 91.01 92.35 8.99 7.65 38.80 34.70 2.80 3.50Source: NSSO’s 42 nd round (1992) <strong>and</strong> 52 nd round(1998) A 66-67 & A 171-7219


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra<strong>in</strong>patients, were available to only 53 percent <strong>of</strong> the outpatients.Details regard<strong>in</strong>g these services are not available forthe 52 nd Round.In rural Orissa, where the majority <strong>of</strong> the <strong>in</strong>patients dependon government hospitals, only 17 percent <strong>of</strong> the <strong>in</strong>patients<strong>in</strong> government hospitals had received free medic<strong>in</strong>esas <strong>in</strong>dicated <strong>in</strong> the 42 nd Round survey results. InMaharashtra <strong>and</strong> Karnataka only 34 percent <strong>and</strong> 32 percent<strong>of</strong> the <strong>in</strong>patients respectively, did not pay for medic<strong>in</strong>es.For the other items <strong>of</strong> expenditure, the percentage<strong>of</strong> hospitalised cases receiv<strong>in</strong>g treatment on payment <strong>in</strong>government hospitals is higher <strong>in</strong> Orissa. Though patients<strong>in</strong> Orissa do not go for paid special treatment, the freeservices on which they largely depend are free on paperonly. Next to medic<strong>in</strong>es, X–ray <strong>and</strong> ECG expenses are aburden on poor people, as most <strong>of</strong> the government hospitalsdo not have these facilities.In the urban areas <strong>of</strong> Orissa dur<strong>in</strong>g 1986-87, there werefewer hospitalised cases that paid for treatment <strong>in</strong> governmenthospitals. In Karnataka, a higher percentage <strong>of</strong> <strong>in</strong>patients<strong>in</strong> government hospitals <strong>in</strong> urban areas <strong>in</strong>curred expenditureon all types <strong>of</strong> diagnostic tests, physiotherapy<strong>and</strong> radiotherapy <strong>and</strong> on surgical operations as comparedto the other two states. For all types <strong>of</strong> expenditure categories,payment for treatment cases were comparativelylower <strong>in</strong> Maharashtra <strong>in</strong> urban <strong>and</strong> rural government hospitals.In private urban hospitals, four percent <strong>of</strong> <strong>in</strong>patientshad received free medic<strong>in</strong>es <strong>and</strong> up to two percenthad received other facilities free <strong>of</strong> cost <strong>in</strong> the countrydur<strong>in</strong>g 1986–87.20


10How Much Do People Spendon Treatment?10.1 InpatientsThe World Development Report (1993) revealed that out<strong>of</strong>-pocketspend<strong>in</strong>g for drugs, traditional medic<strong>in</strong>e <strong>and</strong> userfees usually accounts for more than half <strong>of</strong> the total spend<strong>in</strong>gfor health <strong>in</strong> <strong>India</strong>. Based on this one can argue thatwhen people are currently spend<strong>in</strong>g more than half thetotal expenditure from their pocket for free (public), butpoor quality health service, then it would be better to payfor private, better quality services.Yet, the fact that the majority <strong>of</strong> the poor still use publicfacilities particularly for hospitalisation reflects the need forthe cont<strong>in</strong>ued provision <strong>of</strong> public services. Even if theybear half <strong>of</strong> the expenditure themselves, the other halfthat is saved reduces the burden on the family.Table 10: Average total expenditure perhospitalization by type <strong>of</strong> hospital<strong>in</strong> <strong>India</strong> from 52 nd Round (Rs.)Type <strong>of</strong> hospital Rural UrbanPublic hospital 2245 2191PHC / CHC 740 2461Public dispensary 1887 1977Public sector hospital 2080 2195Private hospital 4394 5524Nurs<strong>in</strong>g home 4185 5749Charitable <strong>in</strong>stitution 3808 3078Other 3015 1630Private sector hospital 4300 5344Any hospital 3202 3921Source: NSSO (1998) , Report No. 441( 52 nd round), p.28The cost <strong>of</strong> hospitalised treatment generally <strong>in</strong>cludes expenseson medic<strong>in</strong>es, pathological <strong>and</strong> diagnostic tests likeX-rays, ECG, EEG, physiotherapy/radiotherapy, chargesfor an ambulance, bed charges, cost <strong>of</strong> oxygen <strong>and</strong> blood,surgery <strong>and</strong> consultation charges.As shown <strong>in</strong> Table 10, average total expenditure perhospitalised case varies from Rs. 2,080 <strong>in</strong> public hospitalsto Rs. 4,300 <strong>in</strong> private sector hospitals <strong>in</strong> rural areas. Inurban areas, the variation is from Rs. 2,195 to Rs. 5,344 forpublic <strong>and</strong> private sector hospitals, respectively. There isno wide difference between <strong>in</strong>patient care for rural <strong>and</strong>urban patients <strong>in</strong> public hospitals, but urban patients pay ahigher price for hospitalisation <strong>in</strong> private hospitals.As shown <strong>in</strong> Chart 1, there has been no substantial change<strong>in</strong> the average cost <strong>of</strong> hospitalisation <strong>in</strong> rural Orissa overthe decade. In fact there is a slight decl<strong>in</strong>e <strong>in</strong> thehospitalisation cost, but, hospitalisation costs <strong>in</strong> urban Orissahave <strong>in</strong>creased by 112 percent <strong>and</strong> the <strong>in</strong>crease is higher <strong>in</strong>private hospitals. One possibility could be that <strong>in</strong> Orissa,99 percent <strong>of</strong> the patients who seek treatment <strong>in</strong> governmenthospitals go for free treatment. While they still payfor medic<strong>in</strong>es <strong>and</strong> other expenses there are no service <strong>and</strong>rental charges. In the private sector the expenditure is higher.The quality <strong>of</strong> services <strong>in</strong> public hospitals is, however nocompetition for the private sector. Among the three specifiedstates, total expenditure was higher <strong>in</strong> Maharashtra <strong>and</strong>lower <strong>in</strong> Orissa (Table 11). This is not so if private <strong>and</strong>public hospital costs are considered separately. Of the21


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraChart 1: Cost <strong>of</strong> IP treatment - Average total expenditure per illness(<strong>in</strong> constant prices)1400.001200.001000.00800.00600.00400.00200.000.00Rural Urban Rural Urban42 nd Round 52 nd RoundMaharashtra Karnataka Orissa All <strong>India</strong>Table 11: Average total expenditure per hospitalization by type <strong>of</strong> hospital for rural <strong>and</strong> urban areas(<strong>in</strong> constant prices with base year 1980-81)(Rs.)State 42 nd Round (1986-87) 52 nd Round (1995-96)Rural Urban Rural UrbanGovt. Other All Govt. Other Allhospitals hospitals hospitals hospitalsKarnataka 576.67 772.46 489.34 1120.00 818.85 427.00 1230.05 981.69(919) (1231) (1791) (4100) (2997) (1564) (4502) (3593)Maharashtra 634.65 1065.44 449.7 1128.23 908.52 423.23 1572.00 1175.58(951) (1597) (1529) (3836) (3089) (1439) (5345) (3997)Orissa 461.36 475.35 440.05 676.17 429.58 560.73 3096.59 1012.56(744) (767) (1681) (2583) (1641) (2142) (11829) (3868)<strong>India</strong> 536.62 743.99 571.43 1181.32 879.67 603.02 1398.95 1077.30(853) (1183) (2080) (4300) (3202) (2195) (5344) (3921)Source: (i) NSSO (1992 & 1998), Report No. 364 (42 nd round) <strong>and</strong> Report No. 441( 52 nd round), p.28(ii) Constant prices us<strong>in</strong>g deflator –H<strong>and</strong>book <strong>of</strong> Statistics on <strong>India</strong>n Economy, RBI, 1999Note: Figures <strong>in</strong> parenthesis are current prices.15 major states, the expenditure was lowest <strong>in</strong> Kerala <strong>and</strong>highest <strong>in</strong> Punjab <strong>in</strong> the rural areas. In urban areas alsohospitalisation expenses were lower <strong>in</strong> Kerala <strong>and</strong> higher<strong>in</strong> Uttar Pradesh.Poor people <strong>in</strong> a backward state like Orissa are vulnerableto <strong>in</strong>creased costs <strong>of</strong> treatment, which are higher <strong>in</strong> publichospitals <strong>in</strong> rural <strong>and</strong> urban areas <strong>and</strong> <strong>in</strong> private hospitals <strong>in</strong>rural areas as compared to the correspond<strong>in</strong>g costs <strong>in</strong>Karnataka <strong>and</strong> Maharashtra, but the costs <strong>in</strong> urban privatehospitals are lower <strong>in</strong> Orissa <strong>in</strong> comparison with Karnataka<strong>and</strong> Maharashtra.Among the three states, <strong>in</strong> the 42 nd Round, <strong>in</strong> rural areas,average expenditure (per day) per hospitalised case underthe free category <strong>of</strong> treatment <strong>in</strong> government hospitals washighest at Rs.40 <strong>in</strong> Orissa as compared to Rs.24 <strong>in</strong>Maharashtra <strong>and</strong> Karnataka. In urban government hospitals,<strong>in</strong>patients <strong>in</strong> Orissa had to spend on an average Rs. 40for free category <strong>of</strong> treatment <strong>and</strong> Rs.115 <strong>in</strong> the generalcategory. In urban Maharashtra, patients from middle <strong>and</strong>upper middle-<strong>in</strong>come groups used special category services<strong>in</strong> public hospitals <strong>and</strong> spent on an average Rs. 143per day per case. Per day expenditure <strong>in</strong> rural private22


How Much Do People Spend on Treatment?hospitals varied from Rs. 40 <strong>in</strong> the free category <strong>in</strong>Karnataka to Rs. 205 <strong>in</strong> free category services (wards) <strong>in</strong>Orissa. In a developed state like Maharashtra, per dayexpenses <strong>in</strong> the free category <strong>of</strong> treatment <strong>in</strong> private ruralhospitals was Rs. 86, which is less than that <strong>in</strong> Orissa (formore details see Tables 6.1-6.18 <strong>in</strong> NSSO 42 nd Round).Details <strong>of</strong> state wise expenditure for the 52 nd Round forthe three selected states reveal that hospitalisation is costlier<strong>in</strong> government <strong>and</strong> private hospitals <strong>in</strong> rural Karnataka.Treatment costs <strong>in</strong> government hospitals are lower <strong>in</strong> rural<strong>and</strong> urban Maharashtra. In urban areas, hospitalisation iscostlier <strong>in</strong> Orissa, both <strong>in</strong> government <strong>and</strong> private hospitals.Average expenditure on hospitalised cases is lower <strong>in</strong>government hospitals <strong>in</strong> urban Maharashtra. Expenditureis relatively lower <strong>in</strong> private hospitals <strong>in</strong> urban Karnatakaas compared to Maharashtra <strong>and</strong> Orissa. In rural areas,cost per hospitalisation <strong>in</strong> government hospitals is least <strong>in</strong>Tamil Nadu (Rs. 751) <strong>and</strong> highest <strong>in</strong> Uttar Pradesh(Rs. 4,237). In other hospitals, the cost is highest <strong>in</strong> AndhraPradesh (Rs. 7,822) <strong>and</strong> least <strong>in</strong> Assam (Rs. 2,003). In urbanareas, the cost varies from Rs. 934 <strong>in</strong> Tamil Nadu toRs. 8,888 <strong>in</strong> Haryana for government hospitals <strong>and</strong> fromRs. 2,254 <strong>in</strong> Kerala to Rs. 11,829 <strong>in</strong> Orissa for private hospitals(See NSS Report No.441, pp. A-93-94 <strong>and</strong> A-198-199).Though the average expenditure is higher for higher <strong>in</strong>comegroups, it is not uniform <strong>and</strong> regular for all the states.There is variation <strong>in</strong> average expenditure when the bottom<strong>and</strong> top 10 percent fractile groups are taken <strong>in</strong>to consideration.The 52 nd Round results revealed that average totalexpenditure per hospitalised case varied from Rs. 961 toRs. 5,126 (1:5) <strong>and</strong> from Rs. 1,176 to Rs. 7,619 (1:6) respectivelyfor public <strong>and</strong> private hospitals <strong>and</strong> for the bottom10 percent <strong>and</strong> top 10 percent <strong>of</strong> fractile <strong>in</strong>comegroups <strong>in</strong> rural areas. In urban areas, the average total expenditurevaried from Rs. 497 to Rs. 8,104 (1:16) <strong>and</strong>from Rs. 1,186 to Rs. 12,957 (1:11) respectively for public<strong>and</strong> private hospitals <strong>and</strong> for the bottom 10 percent <strong>and</strong>top 10 percent <strong>of</strong> fractile <strong>in</strong>come groups. In rural areas,the poor spent more on treatment <strong>in</strong> public hospitals comparedto their counterparts <strong>in</strong> urban areas. For hospitalisedtreatment, the rich spent nearly five times more than thepoorest <strong>in</strong> rural areas <strong>and</strong> more than ten times <strong>in</strong> urbanareas. There is no major difference between rural <strong>and</strong> urbanareas <strong>in</strong> the average expenditure <strong>in</strong>curred by the pooreston hospitalised cases <strong>in</strong> private hospitals. The averageexpenditure on hospitalisation was found to be generallylower for STs as compared to SCs <strong>and</strong> others <strong>in</strong> publichospitals <strong>in</strong> urban areas <strong>and</strong> private hospitals <strong>in</strong> rural areas.10.2 OutpatientsAmong the three specified states (shown <strong>in</strong> Table 12-A),the cost <strong>of</strong> treatment for outpatients (OP) was lower <strong>in</strong>rural Karnataka <strong>and</strong> urban Orissa dur<strong>in</strong>g the 52 nd Round.Average expenditure per ailment varied from Rs. 91 <strong>in</strong>Karnataka to Rs. 144 <strong>in</strong> Maharashtra <strong>in</strong> rural areas <strong>and</strong> fromRs. 117 <strong>in</strong> Orissa to Rs. 170 <strong>in</strong> Maharashtra <strong>in</strong> urban areas.Expenditure <strong>in</strong>curred on treat<strong>in</strong>g female outpatients wasless than that <strong>in</strong>curred on treat<strong>in</strong>g male patients <strong>in</strong> rural <strong>and</strong>urban areas <strong>in</strong> Karnataka <strong>and</strong> Maharashtra, while it washigher for females <strong>in</strong> Orissa.Table 12–A: Average medical <strong>and</strong> other related non-medical expenditure per treated ailment dur<strong>in</strong>g15 days by source <strong>of</strong> treatment <strong>and</strong> per capita public expenditure onhealth - Outpatient (OP) from 52 nd Round (<strong>in</strong> current prices)(Rs.)State Medical expenditure by source Total expenditure by sourcePer capita<strong>of</strong> treatment<strong>of</strong> treatmentpublic exp.on health Rural Urban Rural UrbanGovt. Other All Govt. Other All Govt. Other All Govt. Other AllKarnataka 54 61 127 108 120 160 151 70 142 122 136 184 172Maharashtra 78 73 161 147 91 175 163 90 179 165 125 195 185Orissa 47 118 151 137 128 127 128 129 158 147 143 133 136<strong>India</strong> 70 110 168 157 146 185 178 129 186 176 166 200 194Source: NSSO (1998), Report No. 441(52 nd Round)23


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraTable 12-B: Cost <strong>of</strong> OP treatment - Average total expenditure per illness(<strong>in</strong> constant* prices with base year 1980-81)States 42 nd Round 52 nd RoundRural Urban Rural UrbanMaharashtra 60.12 76.66 42.32 49.97Karnataka 31.57 44.89 33.33 46.99Orissa 44.39 41.54 25.94 30.65All <strong>India</strong> 62.79 61.23 39.56 48.08Source: NSSO (1992 & 1998), Report No. 364 (42 nd round) <strong>and</strong> Report No. 441( 52 nd round)Note: * Us<strong>in</strong>g deflator- H<strong>and</strong>book <strong>of</strong> Statistics on <strong>India</strong>n Economy, RBI, 1999.(Rs.)Chart 2: Cost <strong>of</strong> OP treatment - Average total expenditure per illness(<strong>in</strong> constant prices)(Rs.)90.0080.0070.0060.0050.0040.0030.0020.0010.000.00RuralUrban Rural Urban42 nd Round 52 nd RoundMaharashtra Karnataka Orissa All <strong>India</strong>Total average expenditure on outpatient treatment (1995-96) was Rs. 176 (Rs. 40 <strong>in</strong> constant prices) <strong>in</strong> rural areas<strong>and</strong> Rs. 194 (Rs. 48 <strong>in</strong> constant prices) <strong>in</strong> urban areas.Average outpatient expenditure was least for Tamil Nadu<strong>in</strong> rural areas <strong>and</strong> for Kerala <strong>in</strong> urban areas <strong>and</strong> highest <strong>in</strong>Uttar Pradesh <strong>and</strong> <strong>in</strong> Madhya Pradesh <strong>in</strong> urban areas (seeTables 13-A <strong>and</strong> 13-B). The cost <strong>of</strong> treatment was higherfor the middle aged <strong>in</strong> rural <strong>and</strong> <strong>in</strong> urban areas. On thewhole, there was an <strong>in</strong>crease <strong>in</strong> average expenditure correspond<strong>in</strong>gto an <strong>in</strong>crease <strong>in</strong> age. The comparison <strong>of</strong>expenditure between the two rounds <strong>of</strong> the NSS revealedthat the outpatient cost had not risen <strong>in</strong> real terms (seeTable12-B <strong>and</strong> Chart 2). The reforms process had nomajor effect on the cost <strong>of</strong> non-hospitalised treatmenti.e., primary health care. Increase <strong>in</strong> the number <strong>of</strong> doctors,transport facilities, services <strong>of</strong> doctors tra<strong>in</strong>ed <strong>in</strong>ayurveda <strong>and</strong> homoeopathy at lower costs, availability <strong>of</strong>cheaper medic<strong>in</strong>es, etc., may be the reasons for the stability<strong>in</strong> the cost <strong>of</strong> outpatient treatment.World Bank estimates <strong>of</strong> total health expenditure <strong>in</strong> <strong>India</strong>(1990-91) reveal that per capita expenditure on health bythe public sector was Rs. 68.8 (21.5%) <strong>and</strong> that by the privatesector was Rs. 250.5 (78.5%). Of the total privateexpenditure, 75 percent is reported to be out-<strong>of</strong>-pocketexpenditure <strong>in</strong>curred by households (Berman Peter, 1998).24


How Much Do People Spend on Treatment?Table 13- A: Average total expenditure* for hospitalized <strong>and</strong> non-hospitalized treatment for eachState/U.T. <strong>in</strong> <strong>India</strong> (<strong>in</strong> constant prices** with base year 1980-81)(<strong>in</strong> Rs.)State / U.T Hospitalized Treatment Non-hospitalized TreatmentRural Urban Rural Urban42 nd 52 nd 42 nd 52 nd 42 nd 52 nd 42 nd 52 ndRound Round Round Round Round Round Round Round1986-87 1995-96 1986-87 1995-96 1986-87 1995-96 1986-87 1995-96Andhra Pradesh 460.11 1668.32 549.79 1268.11 45.99 30.11 39.14 37.11Arunachal Pradesh. - - - - - 159.15 - 71.13Assam 287.05 480.52 586.33 936.34 105.24 20.51 89.86 27.18Bihar 720.61 1074.34 713.37 1036.49 123.90 61.23 61.13 48.99Goa*** 343.26 - 937.97 - 104.45 63.50 68.67 39.65Gujarat 503.19 725.20 706.17 906.03 52.47 39.21 57.66 57.46Haryana 919.26 873.88 548.36 1771.87 46.67 49.60 49.13 108.96Himachal Pradesh 601.62 - 661.81 - 90.54 27.91 81.35 41.15Jammu & Kashmir 397.46 - 384.30 - 61.72 67.14 59.07 51.46Karnataka 576.67 819.22 772.46 982.14 31.57 24.87 44.89 42.37Kerala 251.89 560.25 264.43 470.82 21.52 29.08 28.53 26.39Madhya Pradesh 452.10 599.47 429.39 758.98 103.82 35.30 67.16 96.04Maharashtra 634.65 907.92 1065.44 1174.80 60.12 42.32 76.66 49.97Manipur 421.73 - 693.42 - 80.23 101.17 122.09 55.92Meghalaya 316.22 - 337.59 - 29.19 7.35 61.48 19.05Mizoram - - - - - - - -Nagal<strong>and</strong> - - 383.31 - - - 123.61 -Orissa 461.36 429.92 475.35 1013.36 44.39 25.94 41.54 30.65Punjab 936.96 1297.58 1069.17 1485.92 61.03 45.00 56.65 40.32Rajasthan 698.53 871.26 501.72 903.09 73.27 49.33 83.21 50.47Sikkim 294.90 - 469.17 - 336.30 - 242.45 -Tamil Nadu 416.30 783.45 628.22 1085.25 31.05 21.79 33.97 32.28Tripura 206.82 - 143.11 - 25.92 22.82 40.70 53.52Uttar Pradesh 803.56 1225.33 1184.03 1661.20 93.53 56.91 103.21 59.73West Bengal 310.92 603.81 804.90 992.57 37.95 32.40 57.20 38.26A. & N. Isl<strong>and</strong>s 79.12 - 976.44 0.00 26.53 7.55 21.91 15.11Ch<strong>and</strong>igarh - - - - - - - -Dadra & N. Haveli - - - - - - - -Daman & Diu - - - - - - - -Delhi 1364.60 0.00 1055.74 0.00 251.55 41.91 86.32 51.93Lakshadweep - - - - - - - -Pondicherry 211.41 0.00 272.96 0.00 17.87 2.83 165.63 11.56All <strong>India</strong> 536.62 879.67 743.99 1077.20 62.79 39.56 61.23 48.08Source: NSSO (1992 &1998), Sarvekshana-42 nd round (1986-87), 51st issue, Vol. .XII, No. 4; Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd round (1995-96).ReportNo.441.Note: * Average total expenditure= medical expd plus other expd= (medic<strong>in</strong>es, b<strong>and</strong>ages, plaster, fees, diagnostic tests, ambulance, oxygen, blood) ( transport, lodg<strong>in</strong>g,attendant charges)** Us<strong>in</strong>g deflator –H<strong>and</strong>book <strong>of</strong> Statistics on <strong>India</strong>n Economy, RBI, 1999*** Includes Daman <strong>and</strong> Diu25


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra26Table 13-B: Average total expenditure* for hospitalized <strong>and</strong> non-hospitalized treatment for eachState/U.T. (<strong>in</strong> current prices)(<strong>in</strong> Rs.)State / U.T Hospitalized Treatment Non-hospitalized TreatmentRural Urban Rural Urban42 nd 52 nd 42 nd 52 nd 42 nd 52 nd*** 42 nd 52 nd***Round Round Round Round Round Round Round Round1986-87 1995-96 1986-87 1995-96 1986-87 1995-96 1986-87 1995-96Andhra Pradesh 753.81 6428 900.73 4886 75.34 116 -165 64.12 143-172Arunachal Pradesh. - - - - - 490 - 219Assam 499.75 1945 1020.79 3790 183.22 83-151 156.45 110-180Bihar 1141.87 3860 1130.4 3724 196.33 220-213 96.86 176-212Goa** 589.56 - 1610.98 - 179.39 197 117.94 123Gujarat 809.14 2663 1135.54 3327 84.38 144-157 92.72 211-218Haryana 1336.05 3224 796.98 6537 67.83 183-189 71.41 402-414Himachal Pradesh 919.29 - 1011.26 - 138.35 97 124.31 143Jammu & Kashmir 681.27 - 658.71 - 105.79 214 101.25 164Karnataka 918.68 2997 1230.59 3593 50.29 91-122 71.52 155-172Kerala 463.91 2293 487.02 1927 39.63 119-136 52.55 108-120Madhya Pradesh 723.16 2191 686.84 2774 166.07 129-155 107.43 351-376Maharashtra 951.23 3089 1596.9 3997 90.11 144-165 114.90 170-185Manipur 688.35 - 1131.8 - 130.95 351 199.27 194Meghalaya 559.91 - 597.76 - 51.69 32 108.86 83Mizoram 144.5 - 191.2 - 48.01 37 196.30 86Nagal<strong>and</strong> - - 600.75 - - 270 193.73 790Orissa 744.09 1641 766.65 3868 71.60 99-147 66.99 117-136Punjab 1402.01 4988 1599.84 5712 91.32 173-175 84.76 155-162Rajasthan 1024.88 3038 736.12 3149 107.50 172-192 122.09 176-198Sikkim 450.64 - 716.94 - 513.90 63 370.49 252Tamil Nadu 684.37 2840 1032.76 3934 51.05 79-102 55.84 117-129Tripura 351.67 - 243.34 - 44.07 55 69.21 129Uttar Pradesh 1236.11 4349 1821.39 5896 143.88 202-224 158.77 212-227West Bengal 488.02 1957 1263.35 3217 59.57 105-131 89.78 124-137A. & N.Isl<strong>and</strong>s 131.86 - 1627.41 44.21 25 36.51 50Ch<strong>and</strong>igarh 282.44 1309.06 33.88 36 89.02 200Dadra & Nagar Haveli 404.06 - 44.70 85 - 112Daman & Diu - - - 73 - 114Delhi 2053.46 1588.68 378.53 138 129.90 171Lakshadweep 1973.01 1055.33 114.60 56 102.20 5Pondicherry 340.55 439.7 28.78 11 266.81 45All <strong>India</strong> 853.23 3202 1182.95 3921 99.84 144-176 97.35 175-194Source: NSSO (1992 &1998), Sarvekshana-42nd round (1986-87), 51st issue, Vol.XII, No. 4; Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd round (1995-96).ReportNo.441.Note: * Average total expenditure- medical expd plus other expd = (medic<strong>in</strong>es, b<strong>and</strong>ages, plaster, fees, diagnostic tests, ambulance, oxygen, blood) ( transport, lodg<strong>in</strong>g,attendant charges)** Includes Daman <strong>and</strong> Diu*** The variation <strong>in</strong> average expenditure (i.e. the ranges shown for non-hospitalized treatment <strong>in</strong> 52 nd round is due to separate estimates presented <strong>in</strong> the report(Table 4.19 <strong>and</strong> Table 22.1) gender wise <strong>and</strong> state wise.


11Loss <strong>of</strong> Household Income Due to Illness(Outpatient)As per the 52 nd Round survey results, due to illness, householdshad to forego, an average amount <strong>of</strong> Rs. 55 <strong>in</strong> ruralareas <strong>and</strong> Rs. 44 <strong>in</strong> urban areas per non-hospitalised illnessepisode. This almost amounts to a loss <strong>of</strong> one day’s wageon account <strong>of</strong> occurrence <strong>of</strong> an illness. In rural areas, theburden <strong>of</strong> illness <strong>in</strong> terms <strong>of</strong> loss <strong>of</strong> household <strong>in</strong>comewas higher <strong>in</strong> Arunachal Pradesh, Haryana <strong>and</strong> Manipur<strong>and</strong> lower <strong>in</strong> Assam, Goa, Mizoram, Delhi, Pondicherry<strong>and</strong> Daman <strong>and</strong> Diu.The loss <strong>of</strong> <strong>in</strong>come <strong>in</strong> rural areas varied from Rs. 2 <strong>in</strong>Daman <strong>and</strong> Diu to Rs. 185 <strong>in</strong> Arunachal Pradesh.In urban areas, the average loss <strong>of</strong> <strong>in</strong>come was higher <strong>in</strong>Arunachal Pradesh, Haryana, Nagal<strong>and</strong>, Rajasthan <strong>and</strong>Ch<strong>and</strong>igarh <strong>and</strong> lower <strong>in</strong> Delhi, Tripura, Goa <strong>and</strong>Meghalaya. The loss <strong>of</strong> <strong>in</strong>come <strong>in</strong> urban areas varied fromRs. 2 <strong>in</strong> Mizoram to Rs. 191 <strong>in</strong> Arunachal Pradesh. Of thethree specified states, the burden <strong>of</strong> outpatient treatmentwas higher <strong>in</strong> Karnataka both <strong>in</strong> rural (Rs. 72) <strong>and</strong> urban(Rs. 54) areas (See Table 14).Average loss <strong>of</strong> household <strong>in</strong>come per hospitalised casewas roughly Rs. 270 (Rs. 273-urban) for the bottom 10percent mpce class <strong>and</strong> Rs. 937 for the top 10 percentmpce class <strong>in</strong> rural <strong>and</strong> urban areas. The average loss for allthe mpce groups was Rs. 563 <strong>in</strong> rural areas <strong>and</strong> Rs. 521 <strong>in</strong>urban areas. The loss <strong>of</strong> <strong>in</strong>come due to hospitalisation forthe bottom 10 percent group is higher <strong>in</strong> urban Orissa ascompared to Maharashtra <strong>and</strong> Karnataka <strong>and</strong> higher <strong>in</strong>rural Karnataka as compared to Orissa <strong>and</strong> Karnataka. Onan average the burden <strong>of</strong> hospitalisation was higher <strong>in</strong> ruralKarnataka <strong>and</strong> urban Maharashtra.Table 14: Loss <strong>of</strong> Household <strong>in</strong>come per ailment (52 nd Round)(<strong>in</strong> Rs.)States Outpatient InpatientRural Urban Bottom 10% mpce Top 10% mpce AllRural Urban Rural Urban Rural UrbanMaharashtra 55 35 188 383 1113 706 587 534Karnataka 72 54 260 203 1326 741 798 518Orissa 70 35 101 418 811 680 402 450All <strong>India</strong> 55 44 270 273 937 923 563 521Source: NSSO (1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd round (1995-96).Report No.441.27


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra12Messages from NSS <strong>in</strong> the Light <strong>of</strong>Ongo<strong>in</strong>g <strong>Economic</strong> <strong>Reforms</strong>It is difficult to determ<strong>in</strong>e whether development leads togrowth or growth facilitates development. Both arecomplementary. Similarly, there are many developments <strong>in</strong>the economy over the last decade, which have had both apositive <strong>and</strong> negative impact on different sectors <strong>in</strong>dependent<strong>of</strong> economic reforms. The technological development<strong>in</strong> the health sector has facilitated detection <strong>of</strong> diseases,conduct<strong>in</strong>g <strong>of</strong> complicated surgeries, <strong>in</strong>creased comforts<strong>in</strong> the post-surgery period, <strong>in</strong>troduced new drugs <strong>and</strong>enabled dissem<strong>in</strong>ation <strong>of</strong> latest health <strong>in</strong>formation. On theother h<strong>and</strong> it has led to over use <strong>of</strong> diagnostic tests, <strong>in</strong>crease<strong>in</strong> hospital waste, female foeticide <strong>and</strong> <strong>in</strong>crease <strong>in</strong>the cost <strong>of</strong> hospitalised health care. Technological developmentis an outcome <strong>of</strong> the growth process <strong>and</strong>,liberalisation or economic policies act as facilitators foravail<strong>in</strong>g it.Yet, changes like <strong>in</strong>creas<strong>in</strong>g privatisation, the chang<strong>in</strong>g role<strong>of</strong> the public sector <strong>in</strong> the provision <strong>of</strong> health care, drugproduction <strong>and</strong> sale due to WTO / TRIPS are some <strong>of</strong>the developments which are <strong>in</strong>duced by liberalisation.12.1 Private v/s PublicThe private sector has been play<strong>in</strong>g a predom<strong>in</strong>ant role <strong>in</strong>the provision <strong>of</strong> health care for many years, but there is an<strong>in</strong>crease <strong>in</strong> the share <strong>of</strong> the private sector <strong>in</strong> many fields<strong>in</strong>clud<strong>in</strong>g health. The liberalisation policies under the eco-nomic reforms favour the operation <strong>of</strong> market forces <strong>in</strong>all the fields <strong>in</strong>clud<strong>in</strong>g the social sector. Yet, it is doubtfulwhether the model premised upon competitive charges<strong>and</strong> cost conta<strong>in</strong>ment would operate effectively <strong>in</strong> the distribution<strong>of</strong> social goods such as health (Sen, 2001).Private health services are urban biased, cater to the better<strong>of</strong>f <strong>and</strong> provide costlier services (Baru, 1999; IIM, 1987;Bhat, 1999) whereas, public health facilities cater to the poor,rural <strong>and</strong> disadvantaged sections <strong>and</strong> are cheaper (Prabhu,1999; IIM, 1987). The growth <strong>of</strong> the private sector hasbeen l<strong>in</strong>ked to the new economic policy, <strong>in</strong>flux <strong>of</strong> medicaltechnology, grow<strong>in</strong>g deficits <strong>of</strong> the public sector hospitals<strong>and</strong> the ris<strong>in</strong>g middle class. In a study undertaken <strong>in</strong>Ahmedabad, 91 percent <strong>of</strong> the providers surveyed believedthat the cost <strong>and</strong> use <strong>of</strong> diagnosis have <strong>in</strong>creaseddue to the Consumers Protection Act (Bhat, 1999). Whilegovernment <strong>in</strong>itiatives <strong>in</strong> health care partnership have failed<strong>in</strong> large-scale ventures <strong>in</strong> Delhi, Punjab <strong>and</strong> Rajasthan, smallerventures <strong>in</strong>volv<strong>in</strong>g NGOs <strong>in</strong> runn<strong>in</strong>g PHCs <strong>in</strong> Gujarat (SelfEmployed Women’s Association) <strong>and</strong> Tamil Nadu (Bhat,1999) have proved to be successful. The Karnataka governmenthas also <strong>in</strong>itiated the <strong>in</strong>volvement <strong>of</strong> NGOs <strong>in</strong>runn<strong>in</strong>g PHCs.Studies have shown that there is a strong positive relationshipbetween per capita health spend<strong>in</strong>g <strong>and</strong> per capitaGDP (New house, 1977) 1 . A few others like Lew (1986) 21As cited <strong>in</strong> Hitiris Theo <strong>and</strong> John Posnett (1992), Journal <strong>of</strong> <strong>Health</strong> <strong>Economic</strong>s, Vol. II, pp.173-181, 19922Ibid28


Messages from NSS <strong>in</strong> the Light <strong>of</strong> Ongo<strong>in</strong>g <strong>Economic</strong> <strong>Reforms</strong>have reported that the share <strong>of</strong> public expenditure <strong>in</strong> totalhealth spend<strong>in</strong>g <strong>and</strong> the presence <strong>of</strong> a centralised nationalhealth system <strong>in</strong>fluence health care spend<strong>in</strong>g. Both the studiesquoted above support the argument that health care expendituredepends on the resource position <strong>of</strong> the states<strong>and</strong> the quantum <strong>of</strong> government share <strong>in</strong> total health expenditure.Poor states need cont<strong>in</strong>ued f<strong>in</strong>ancial support to<strong>in</strong>vest <strong>in</strong> merit goods like health. In such a situation, if thestates get central assistance for health on match<strong>in</strong>g grantbasis then poor states, which are unable to spend more,would suffer.NSS results <strong>and</strong> other studies (IIM, 1987; NCAER, 1992;Baru, 1999) reveal that a substantial section <strong>of</strong> the population,particularly the poor <strong>and</strong> the underprivileged, dependon public hospitals for hospitalised care. An IIM studyrevealed that government hospitals served the poor <strong>and</strong>private hospitals served the better <strong>of</strong>f. Middle class peopleused government hospitals ma<strong>in</strong>ly to avail <strong>of</strong> diagnostic<strong>and</strong> surgical facilities, which they could not avail privately.Medical college hospitals had multiple roles <strong>of</strong> super-specialty<strong>and</strong> emergency care for serious patients, legal cases<strong>and</strong> the poor.12.2 Drugs <strong>and</strong> the PoorDrug prices were said to be high <strong>in</strong> <strong>India</strong> at the time <strong>of</strong>Independence. The establishment <strong>of</strong> two public sector units<strong>in</strong> the early 1970s led to a 60 to 70 percent decl<strong>in</strong>e <strong>in</strong> theprices <strong>of</strong> antibiotics (Sen, 1999) dur<strong>in</strong>g that period. Evenafter that, the dependence on foreign drug <strong>in</strong>dustries <strong>and</strong>imports to meet the domestic dem<strong>and</strong> cont<strong>in</strong>ued. The <strong>India</strong>nPatent Act 1970, which recognises process patents,stimulated domestic production <strong>of</strong> bulk drugs <strong>and</strong> formulations.Process patent has enabled domestic <strong>in</strong>dustriesto make process modifications to develop bulk drugs <strong>and</strong>their formulations, but there is need for regulation <strong>of</strong> thedrug <strong>in</strong>dustry <strong>and</strong> drug prices <strong>in</strong> <strong>India</strong>. A large number <strong>of</strong>small-scale units have been set up <strong>and</strong> a large number <strong>of</strong>br<strong>and</strong>s reported to be irrational <strong>and</strong> unnecessary are producedon a wide scale. Though, <strong>in</strong> general, the drug pricesare cheaper <strong>in</strong> <strong>India</strong>, some <strong>of</strong> the drug prices, particularlythe prices <strong>of</strong> antibiotics, are higher <strong>and</strong> are reported to bebeyond the reach <strong>of</strong> the common man. It is reported thatthe amount spent annually by the drug <strong>in</strong>dustry <strong>in</strong><strong>in</strong>dustrialised countries on each doctor, for the sale <strong>of</strong> theirproducts varies from US $ 2,665 <strong>in</strong> Canada to $ 8,000 <strong>in</strong>UK <strong>and</strong> USA (Chauhan et al, 1997). With the entry <strong>of</strong>mult<strong>in</strong>ationals, advertis<strong>in</strong>g costs have also <strong>in</strong>creased<strong>in</strong> <strong>India</strong>.WDR (1993) reports that develop<strong>in</strong>g countries should reducethe waste <strong>and</strong> <strong>in</strong>efficiency <strong>in</strong> drug management. Bulkpurchase, selection <strong>and</strong> quantification <strong>of</strong> drug requirements,<strong>in</strong> part through the use <strong>of</strong> essential drug lists, are some <strong>of</strong>the measures advocated as 10 to 30 percent <strong>of</strong> publicspend<strong>in</strong>g for health, comprises <strong>of</strong> pharmaceuticals <strong>in</strong> most<strong>of</strong> these countries.Under the liberalisation policy <strong>of</strong> the government, it is arguedthat prices should be left to self-regulation by marketforces. The reduction <strong>in</strong> the number <strong>of</strong> drugs under pricecontrol <strong>in</strong> the New Drug Policy, 2002 is one measure, whichsupports this argument. Our earlier experience with theDPCO reveals that if more drugs are out <strong>of</strong> the DPCO,then generally there is an <strong>in</strong>crease <strong>in</strong> the price <strong>of</strong> these drugs<strong>and</strong> also <strong>in</strong>creased production <strong>of</strong> non-essential drugs. TheDPCO helps <strong>in</strong> putt<strong>in</strong>g a ceil<strong>in</strong>g on prices <strong>of</strong> certa<strong>in</strong> massusage bulk drugs <strong>and</strong> their formulations <strong>and</strong> prevents unduepr<strong>of</strong>it earn<strong>in</strong>g. The availability, accessibility <strong>and</strong> the cost<strong>of</strong> essential drugs depends upon the drug policy that isadopted by the country. The criteria <strong>of</strong> categorisation <strong>of</strong>drugs by the DPCO <strong>in</strong> <strong>India</strong> are generally based on monopoly<strong>and</strong> turnover rather than on what is essential. Thenumber <strong>of</strong> drugs under the DPCO decl<strong>in</strong>ed from 450 to347 <strong>in</strong> 1975, from 347 to 142 <strong>in</strong> 1986, from 142 to 73 <strong>in</strong>1994 <strong>and</strong>, from 73 to 39 <strong>in</strong> 2002. The coverage <strong>of</strong> controlhas come down to 20 percent to 25 percent from 50 percentto 60 percent. The earlier developments <strong>in</strong> the pharmaceutical<strong>in</strong>dustry encouraged the growth <strong>of</strong> the <strong>in</strong>dustry.Exports went up <strong>and</strong> a large number <strong>of</strong> small-scaleunits were set up, but due to a hike <strong>in</strong> the Maximum AllowablePost Manufactur<strong>in</strong>g Expenses (MAPE) <strong>in</strong> 1986,consumers were affected.At present drugs prices <strong>in</strong> <strong>India</strong> are said to be comparativelylow. With product patent, prices would def<strong>in</strong>itely29


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtrago up. NSS results <strong>in</strong>dicate that free medic<strong>in</strong>es at publichospitals are available to a limited percentage <strong>of</strong> the sickpopulation. Patients are spend<strong>in</strong>g more money on medic<strong>in</strong>es<strong>and</strong> will have to spend even more <strong>in</strong> the future, asnew drugs would be available at higher prices.12.3 Primary vs. Secondary/Terertiartiary careMany studies <strong>and</strong> reports emphasise the importance <strong>of</strong>the provision <strong>of</strong> primary health care as the basis for improv<strong>in</strong>ghealth status. Countries like Sri Lanka, Ch<strong>in</strong>a <strong>and</strong>the state <strong>of</strong> Kerala <strong>in</strong> <strong>India</strong> have achieved low morbidity<strong>and</strong> mortality rates <strong>in</strong> spite <strong>of</strong> their relatively low per capita<strong>in</strong>comes, due to the expansion <strong>of</strong> primary health care services.Shariff <strong>and</strong> others (1999) argue that the majority <strong>of</strong>the health problems faced by people <strong>in</strong> <strong>India</strong> can be avoidedthrough essential public health <strong>in</strong>vestments, cost-effective<strong>in</strong>tervention, <strong>and</strong> improvement <strong>in</strong> the efficiency <strong>of</strong> publichealth services focus<strong>in</strong>g on primary health care.The IIM (1987) study revealed that there is underutilisation<strong>of</strong> public facilities <strong>in</strong> rural areas whereas the load <strong>of</strong> patientsat the district level <strong>and</strong> specialised hospitals is high.This <strong>in</strong>dicates that services available <strong>in</strong> rural areas are <strong>of</strong>poor quality, <strong>in</strong>adequate, <strong>in</strong>efficient <strong>and</strong> people depend onpublic tertiary care. Therefore, the government should firstimprove primary health care facilities before <strong>in</strong>volv<strong>in</strong>g theprivate sector <strong>in</strong> tertiary care.The WDR (1993) has aroused much debate over the issues<strong>of</strong> primary <strong>and</strong> tertiary care. World Bank advocatesa cut <strong>in</strong> government expenditure for tertiary care, encouragementto the private sector for cl<strong>in</strong>ical services, <strong>in</strong>vestment<strong>in</strong> cost effective public health activities <strong>and</strong> communitycontrol <strong>and</strong> f<strong>in</strong>anc<strong>in</strong>g <strong>of</strong> essential health care. National<strong>Health</strong> Policy-2002 <strong>in</strong>corporates many <strong>of</strong> these recommendations.But, <strong>in</strong> the light <strong>of</strong> NSS results on the utilisation <strong>of</strong> healthcare services <strong>and</strong> treatment seek<strong>in</strong>g behaviour, there is needto address the issues <strong>of</strong> equity, affordability <strong>and</strong> sustenance<strong>in</strong> design<strong>in</strong>g <strong>and</strong> formulat<strong>in</strong>g policies on health careprovision<strong>in</strong>g.12.4 Availability <strong>and</strong> AccessibilityUtilisation <strong>of</strong> health care services is determ<strong>in</strong>ed to a largeextent not just by their availability, but also by their accessibility.Mere provision <strong>of</strong> health <strong>in</strong>stitutions may not leadto improvement <strong>in</strong> public health. People need to utilisethem when there is need so as to improve their healthstatus. NCAER (1992) reveals that <strong>in</strong> rural areas, peoplehave to travel a long distance to avail medical facilities ascompared to urban households. States like Maharashtra<strong>and</strong> Punjab have a good record on health status <strong>and</strong> awell-distributed public health system. West Bengal, Gujarat,Karnataka <strong>and</strong> Tamil Nadu are below these states, butbetter than Andhra Pradesh, Madhya Pradesh, UttarPradesh, Bihar, Rajasthan <strong>and</strong> Orissa. This <strong>in</strong>dicates thatgenerally economic development <strong>of</strong> a state is l<strong>in</strong>ked toits health status (except for Kerala) <strong>and</strong> availability <strong>of</strong>public facilities.Tamil Nadu has a higher number <strong>of</strong> PHCs per 100 sqkilometres as compared to Maharashtra. Yet, accord<strong>in</strong>g toa study <strong>in</strong> Tamil Nadu, 36 percent <strong>of</strong> the patients had totravel three to five kilometres <strong>and</strong> 30 percent had to travelsix to ten kilometres to get treatment. In Tamil Nadu thereis higher reliance on private facilities (>50%). In Maharashtraless than 50 percent illness episodes were referred to privatedoctors (Prabhu, 1999).The 42 nd <strong>and</strong> 52 nd Rounds reveal that public primary healthcare facilities (i.e., PHCs/SCs) are not utilised properly bythe people. Longer wait<strong>in</strong>g periods, arrogant behaviour,non-availability <strong>of</strong> medic<strong>in</strong>es, irregular visits by doctor, notrespond<strong>in</strong>g to community health needs, are the reasonsstated for non-utilisation <strong>of</strong> PHCs/SCs (Chirumule <strong>and</strong>Anuradha, 1997; Prabhu, 1999; NIHFW, 1983; NIHFW,1989; IIM, 1987). People opt for home remedies only whenthere is non-availability <strong>of</strong> either private or public services<strong>and</strong> also due to poverty, which restricts the use <strong>of</strong> paidservices (Chirumule <strong>and</strong> Anuradha, 1997 - Rajasthan Study).The NIHFW (1983) study on utilisation <strong>of</strong> health services<strong>in</strong> Madhya Pradesh revealed that as many as50 percent <strong>of</strong> the people who died <strong>of</strong> various causes didnot get medical attention on time. The <strong>in</strong>cidence would be30


Messages from NSS <strong>in</strong> the light <strong>of</strong> Ongo<strong>in</strong>g <strong>Economic</strong> <strong>Reforms</strong>more <strong>in</strong> rural areas, where emergency treatment or timelytransport is not available.NSS results <strong>in</strong>dicate that primary health care services arenot available regularly <strong>and</strong> uniformly. The percentage <strong>of</strong>people not seek<strong>in</strong>g treatment due to non-availability <strong>of</strong>services has <strong>in</strong>creased dur<strong>in</strong>g the 42 nd to 52 nd Round.12.5 Decentralisation/CommunityInvolvement <strong>in</strong> <strong>Health</strong> CareDeliveryThe empowerment <strong>of</strong> the Panchayat Raj bodies under the73 rd Amendment to the Constitution has strengthenedpanchayats with greater devolution <strong>of</strong> power, f<strong>in</strong>ances <strong>and</strong>functions. <strong>Health</strong> <strong>and</strong> education are functions listed underpanchayats, but the <strong>in</strong>volvement <strong>of</strong> panchayats <strong>in</strong> health<strong>and</strong> education is nom<strong>in</strong>al <strong>and</strong> it is only at the district level.Village panchayats till today do not perform any majorprogramme under health <strong>and</strong> education. Provision <strong>of</strong>health services is limited to water supply <strong>and</strong> sanitation.Kerala is an exception to this where<strong>in</strong>, panchayats are <strong>in</strong>volved<strong>in</strong> the plann<strong>in</strong>g <strong>of</strong> services at the local level <strong>and</strong>40 percent <strong>of</strong> the district funds are allocated to panchayatprogrammes.Due to resource constra<strong>in</strong>ts, technological development,emergence <strong>of</strong> new communicable <strong>and</strong> non-communicablediseases <strong>and</strong> the growth <strong>of</strong> population, government isunable to allocate sufficient resources to the health sector.<strong>Economic</strong> reforms lead<strong>in</strong>g to liberalisation have openedthe way for privatisation, but, complete privatisation <strong>of</strong>basic services like health <strong>and</strong> education is not feasible, as itwill not assure equitable distribution <strong>of</strong> primary health services<strong>and</strong> it may also prevent the poor from gett<strong>in</strong>gsubsidised <strong>in</strong>patient care <strong>in</strong> hospitals.12.6 National <strong>Health</strong> Policy (NHP),2002: Are We Mov<strong>in</strong>g <strong>in</strong> the RightDirection?Before discuss<strong>in</strong>g the NHP-2002, it would be worthwhileto see what happened after NHP-1983. The ma<strong>in</strong> focus<strong>of</strong> NHP-1983 was on achiev<strong>in</strong>g health for all by 2000AD, but targets could not be achieved due to the lack <strong>of</strong>resources, co-ord<strong>in</strong>ation <strong>and</strong> fulfilment <strong>of</strong> equity aspects.The poor states viz. Rajasthan, Madhya Pradesh, Bihar,Orissa <strong>and</strong> Uttar Pradesh are rated to be low perform<strong>in</strong>gstates <strong>in</strong> terms <strong>of</strong> health status (2000). IMR, MMR, percentage<strong>of</strong> under-weight children, leprosy <strong>and</strong> malaria casescont<strong>in</strong>ue to be high <strong>in</strong> these states. Nutrition was one <strong>of</strong>the priority areas <strong>in</strong> NHP-1983. However, undernourishmentcont<strong>in</strong>ues to be high <strong>in</strong> the poor states <strong>in</strong>dicat<strong>in</strong>g thatthe provisions <strong>of</strong> the policy were not seriously adhered to.These states are largely depend<strong>in</strong>g on public facilities. This<strong>in</strong>dicates that health services are <strong>in</strong>adequate <strong>in</strong> poor states.And, the focus on the creation <strong>of</strong> sub-centres (SCs) <strong>and</strong>PHCs as a part <strong>of</strong> NHP-1983, without ensur<strong>in</strong>g the quality<strong>of</strong> the <strong>in</strong>frastructure <strong>and</strong> availability <strong>of</strong> staff has resulted<strong>in</strong> non-utilisation <strong>of</strong> PHCs to a large extent as revealed<strong>in</strong> 52 nd Round results.NHP-2002 refers to the use <strong>of</strong> the services <strong>of</strong> practitioners<strong>in</strong> <strong>India</strong>n systems <strong>of</strong> medic<strong>in</strong>e who have undergoneformal tra<strong>in</strong><strong>in</strong>g <strong>in</strong> implementation <strong>of</strong> public health policy.NSS 52 nd Round results <strong>in</strong>dicate that dependence on ayurveda<strong>and</strong> homoeopathy is negligible. This is because these graduateswho have tra<strong>in</strong><strong>in</strong>g <strong>in</strong> other systems, practice allopathy<strong>and</strong> meet the emergency requirement <strong>of</strong> people <strong>in</strong> ruralareas. This has not reduced the dem<strong>and</strong> for tra<strong>in</strong>ed medicalgraduates <strong>in</strong> allopathy <strong>in</strong> rural areas. Ayurveda <strong>and</strong>homoeopathy, which are ga<strong>in</strong><strong>in</strong>g importance <strong>in</strong> urban areas,are not popular <strong>in</strong> rural areas.The present policy <strong>of</strong> promot<strong>in</strong>g <strong>in</strong>digenous/alternatemedic<strong>in</strong>es would benefit only the rich <strong>and</strong> urban areas,unless awareness <strong>and</strong> a suitable atmosphere for cheaperproduction <strong>of</strong> ayurvedic drugs <strong>and</strong> legal framework for itspractice on a large scale are created.S<strong>in</strong>ce health is a state subject, the responsibility for provision<strong>of</strong> health care services falls on state governments, butdue to resource constra<strong>in</strong>ts, the share <strong>of</strong> the health sector<strong>in</strong> the state budget is decl<strong>in</strong><strong>in</strong>g. Resource constra<strong>in</strong>ts <strong>and</strong><strong>in</strong>creas<strong>in</strong>g population call for alternative arrangements forhealth care provision.31


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraThe emphasis <strong>in</strong> NHP-2002 is on the implementation <strong>of</strong>public health programmes through local self-government<strong>and</strong> autonomous <strong>in</strong>stitutions. Without control over primaryhealth care <strong>and</strong> the concerned staff it may be difficult forthese <strong>in</strong>stitutes to monitor <strong>and</strong> implement only the publichealth programmes <strong>in</strong> isolation.NHP-2002 refers to the sett<strong>in</strong>g up <strong>of</strong> urban primary healthcentres for every one lakh population with local, state <strong>and</strong>central assistance. The exist<strong>in</strong>g municipal hospitals, whichare already <strong>in</strong> the worst condition due to lack <strong>of</strong> funds,need to be strengthened <strong>and</strong> activated rather than establish<strong>in</strong>gnew primary health centres <strong>in</strong> urban areas. Secondary<strong>and</strong> tertiary care may be transferred to taluk <strong>and</strong> districthospitals respectively, to avoid duplication <strong>and</strong> loss <strong>of</strong>resources. Moreover, the private sector is effectively cater<strong>in</strong>gto primary health care <strong>in</strong> urban areas.Consider<strong>in</strong>g the <strong>in</strong>crease <strong>in</strong> accident cases, NHP-2002emphasises the establishment <strong>of</strong> trauma centres at differentplaces. It should be noted that the exist<strong>in</strong>g accidentunits at civil hospitals are not well equipped to h<strong>and</strong>leserious cases <strong>and</strong> refer them to medical college hospitals.By the time the patient is shifted, he is dead . Therefore, itis necessary that government plans to strengthen the unitsat civil/district hospitals.The strategy to focus on new therapeutic drugs <strong>and</strong> vacc<strong>in</strong>esfor tropical diseases is a welcome feature <strong>in</strong> the light<strong>of</strong> emergence <strong>of</strong> malaria <strong>and</strong> the cont<strong>in</strong>ued prevalence <strong>of</strong>TB, which is resistant to the exist<strong>in</strong>g drugs <strong>and</strong> vacc<strong>in</strong>es.Equity is treated as a major goal <strong>in</strong> NHP-2002, but thepolicy’s emphasis is on shift<strong>in</strong>g the secondary <strong>and</strong> tertiarycare to the private sector. NSS results <strong>in</strong>dicate that the poor<strong>and</strong> SCs/STs depend largely on public facilities as comparedto others. IMR <strong>and</strong> MMR are high <strong>in</strong> the poor states.IMR, under five (age) mortality <strong>and</strong> percentage <strong>of</strong> underweightchildren is higher among SCs <strong>and</strong> STs. <strong>Health</strong> <strong>in</strong>suranceschemes like ‘Janarogya Policy’ <strong>and</strong> ‘JanarakshaPolicy’ are heard only dur<strong>in</strong>g the presentation <strong>of</strong> the budget.The common man or the poor, whom these subsidisedhealth <strong>in</strong>surance programmes target (but who are rarelycovered) are unaware <strong>of</strong> these policies.32


13Summary y <strong>and</strong> Insights forPolicy InitiativesA summary <strong>of</strong> the f<strong>in</strong>d<strong>in</strong>gs from a comparative study <strong>of</strong>three Rounds <strong>of</strong> NSS (28 th , 42 nd <strong>and</strong> 52 nd ) on morbidity<strong>and</strong> utilisation across states is presented below.• Overall morbidity, which had decl<strong>in</strong>ed dur<strong>in</strong>g twodecades i.e., 28 th Round–42 nd Round (1961-62 to1986-87), has <strong>in</strong>creased dur<strong>in</strong>g 1986-87 to 1995-96.• Morbidity report<strong>in</strong>g is slightly higher <strong>in</strong> rural areas (allthe Rounds).• Jo<strong>in</strong>t pa<strong>in</strong> <strong>and</strong> hypertension are common ailments <strong>in</strong>rural <strong>and</strong> urban areas. While, the <strong>in</strong>cidence <strong>of</strong> gastritis<strong>and</strong> TB is higher <strong>in</strong> rural areas, diabetes <strong>and</strong> heart problemsare found largely <strong>in</strong> urban areas. Stress, sedentarywork, change <strong>in</strong> life styles <strong>and</strong> food habits could bethe reasons for <strong>in</strong>creas<strong>in</strong>g problems <strong>of</strong> heart, hypertension<strong>and</strong> diabetes.• Over the last decade, there has been a substantial <strong>in</strong>crease<strong>in</strong> the dependence on the private sector for outpatient<strong>and</strong> <strong>in</strong>patient care <strong>in</strong> the country.• In urban areas private provision<strong>in</strong>g <strong>of</strong> health servicesis grow<strong>in</strong>g faster.• Though there is reduction <strong>in</strong> the use <strong>of</strong> governmentfacilities dur<strong>in</strong>g the past decade, the poor <strong>and</strong> hilly statesstill depend largely on government facilities for outpatient<strong>and</strong> <strong>in</strong>patient care.• For <strong>in</strong>patient care, 45 percent <strong>of</strong> the poor cont<strong>in</strong>ue todepend upon public sector hospitals.• There is urban bias <strong>in</strong> the treatment <strong>of</strong> reportedailments.• The poor have the highest proportion <strong>of</strong> untreatedillness. In the backward state <strong>of</strong> Orissa, the percentage<strong>of</strong> ail<strong>in</strong>g patients treated as <strong>in</strong>patients from total ail<strong>in</strong>gpersons was lower for all the fractile groups <strong>in</strong> ruralareas <strong>and</strong> for lower <strong>in</strong>come groups <strong>in</strong> urban areas(42 nd Round).• Child morbidity due to acute diseases is more <strong>in</strong> urbanareas <strong>and</strong> more so <strong>in</strong> Orissa. The <strong>in</strong>cidence <strong>of</strong>morbidity for acute <strong>and</strong> other diseases <strong>in</strong> all the agegroups <strong>and</strong> for both the areas is higher <strong>in</strong> Orissa(52 nd Round).• Hospitalised cases have decl<strong>in</strong>ed dur<strong>in</strong>g 1986-87 to1995-96 <strong>in</strong> rural areas <strong>and</strong> <strong>in</strong>creased <strong>in</strong> urban areas.Still, the absolute number <strong>of</strong> people hospitalised (per1000) is higher <strong>in</strong> rural areas.• The percentage <strong>of</strong> hospitalisation cases is higher <strong>in</strong> ruralareas as compared to urban areas <strong>in</strong> poor states likeOrissa, Bihar, Madhya Pradesh, Uttar Pradesh <strong>and</strong>Rajasthan.• The percentage <strong>of</strong> hospitalisation cases is higher <strong>in</strong>Maharashtra <strong>in</strong> rural <strong>and</strong> urban areas <strong>in</strong> both the42 nd <strong>and</strong> 52 nd Rounds as compared to Orissa <strong>and</strong>Karnataka.• The cost <strong>of</strong> subsidised (free) treatment (average expenditureper day for hospitalised care) <strong>in</strong> government33


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra34hospitals is higher <strong>in</strong> the poor state <strong>of</strong> Orissa as comparedto Karnataka <strong>and</strong> Maharashtra (42 nd Round).• There is a reduction <strong>in</strong> the level <strong>of</strong> subsidised healthcare. There is a scarcity <strong>of</strong> medic<strong>in</strong>es <strong>and</strong> other facilities<strong>in</strong> public hospitals.• The burden <strong>of</strong> hospitalisation due to loss <strong>of</strong> household<strong>in</strong>come is higher <strong>in</strong> urban Orissa <strong>and</strong> ruralKarnataka for the bottom 10 percent mpce. It shouldbe noted here that this corresponds with the cost <strong>of</strong>hospitalisation (average expenditure), which is higher<strong>in</strong> urban Orissa <strong>and</strong> rural Karnataka.• Though the percentage <strong>of</strong> people perceiv<strong>in</strong>g illness asnot serious has come down, there is no correspond<strong>in</strong>g<strong>in</strong>crease <strong>in</strong> the number <strong>of</strong> people treated over thedecade (42 nd to 52 nd Round).• Tobacco consumption <strong>and</strong> unhygienic surround<strong>in</strong>gs(marg<strong>in</strong>ally) have a negative impact on health.Insights from the Study for PolicyInitiatives• The results <strong>of</strong> the NSS Rounds reveal that morbidityamong children <strong>and</strong> the elderly is high <strong>and</strong> <strong>in</strong>creas<strong>in</strong>g.Malnutrition/under-nutrition could be one <strong>of</strong> the reasonsfor child morbidity. The National Human DevelopmentReport 2001 <strong>in</strong>dicated that over half <strong>of</strong>the children under the age <strong>of</strong> five <strong>in</strong> <strong>India</strong> are moderatelyor severely malnourished <strong>and</strong> 30 percent <strong>of</strong> newbornchildren are significantly under weight. Postnatalcare, nutritional supplements programme <strong>and</strong> a propersupply <strong>of</strong> dr<strong>in</strong>k<strong>in</strong>g water <strong>and</strong> the provision <strong>of</strong> sanitationare the most essential services that are required.Cont<strong>in</strong>ued public provision <strong>of</strong> these services is necessary.• The higher <strong>in</strong>cidence <strong>of</strong> water-borne diseases <strong>and</strong>prevalence <strong>of</strong> communicable diseases calls for publicaction <strong>in</strong> the provision <strong>of</strong> safe dr<strong>in</strong>k<strong>in</strong>g water <strong>and</strong> sanitationservices. Rural <strong>and</strong> urban sanitation <strong>and</strong> solidwaste management are essential for safe health <strong>and</strong>this needs coord<strong>in</strong>ated efforts from the government,local bodies <strong>and</strong> community. Public/private mix<strong>in</strong>clud<strong>in</strong>g community participation is <strong>in</strong>evitable <strong>in</strong> watersupply <strong>and</strong> sanitation services.• The study highlights the need for reorient<strong>in</strong>g the healthcare system consider<strong>in</strong>g the higher prevalence <strong>of</strong> waterborne <strong>and</strong> chronic non-communicable diseases <strong>and</strong>the cont<strong>in</strong>ued existence <strong>of</strong> TB both <strong>in</strong> rural <strong>and</strong> urbanareas. AIDS is a specific disease, which needs <strong>in</strong>tegration<strong>of</strong> health education with primary health care.Programmes related to prevention <strong>and</strong> treatment <strong>of</strong>specific diseases like TB, malaria, AIDS <strong>and</strong> leprosyshould be under the purview <strong>of</strong> the government. Thesediseases require new drugs, which are likely to be <strong>in</strong>the patent list. The prices <strong>of</strong> drugs will <strong>in</strong>crease due tothe impact <strong>of</strong> patents. As such government efforts foradvanced research on drugs, monitor<strong>in</strong>g for cont<strong>in</strong>uedtreatment <strong>of</strong> a disease, encourag<strong>in</strong>g research fordetect<strong>in</strong>g the ma<strong>in</strong> factors caus<strong>in</strong>g the disease <strong>and</strong> procurement<strong>of</strong> new drugs is essential.• Community participation <strong>in</strong> health care plann<strong>in</strong>g, management<strong>and</strong> provision is suggested as an alternativefor improvement <strong>in</strong> health care. Rogi Kalyan Samiti <strong>in</strong>Madhya Pradesh is an example <strong>of</strong> successful communityparticipation <strong>in</strong> health care. Individual efforts byDr. Sudarshan <strong>in</strong> Biligiri hills, Vivekan<strong>and</strong>a YouthMovement <strong>in</strong> Mysore (both from Karnataka), Dr. Antia<strong>and</strong> Dr. Arole (from Maharashtra) are noteworthyexamples <strong>of</strong> <strong>in</strong>itiat<strong>in</strong>g community awareness <strong>in</strong> healthcare. People are will<strong>in</strong>g to pay for medic<strong>in</strong>es <strong>and</strong> otherservices provided the quality <strong>of</strong> services improves <strong>and</strong>people have a stake <strong>in</strong> the health care system. The WorldBank emphasises that user charges <strong>and</strong> a pre paidmechanism are a practical necessity for improv<strong>in</strong>g quality<strong>and</strong> reliability. The user charge concept, its application<strong>and</strong> implications <strong>of</strong> its <strong>in</strong>troduction on the poorneeds to be exam<strong>in</strong>ed.• The utilisation pattern observed across the states, showsthat government spend<strong>in</strong>g on the provision <strong>of</strong> healthcare services, particularly <strong>in</strong>patient care, is essential. Poor<strong>and</strong> weaker sections largely depend on public hospitalsfor cases requir<strong>in</strong>g hospitalisation. NSS results <strong>in</strong>dicatethat while there is no major change <strong>in</strong> the cost <strong>of</strong>outpatient care <strong>in</strong> real terms, the cost <strong>of</strong> hospitalisation


Summary <strong>and</strong> Insights for Policy Initiativeshas <strong>in</strong>creased substantially. The study also <strong>in</strong>dicates thatf<strong>in</strong>ance is one <strong>of</strong> the major reasons for not seek<strong>in</strong>gtreatment. In the light <strong>of</strong> this, the focus should be onsecondary care with tie-up arrangements <strong>and</strong> statesupported <strong>in</strong>surance coverage for tertiary care <strong>in</strong> privatehospitals for the poor <strong>and</strong> middle class patients. Thegovernment’s <strong>in</strong>volvement <strong>in</strong> primary health services(particularly PHCs) needs to be redef<strong>in</strong>ed <strong>in</strong> the light<strong>of</strong> low utilisation <strong>of</strong> PHCs for both outpatient <strong>and</strong><strong>in</strong>patient care. Regulation <strong>of</strong> staff, provid<strong>in</strong>g adequate<strong>and</strong> quality <strong>in</strong>frastructure for the staff as well as patients<strong>and</strong> essential drugs at no pr<strong>of</strong>it prices is a must for theutilisation <strong>of</strong> PHCs.• It is the gram panchayat, which is accountable to thevillage community for the function<strong>in</strong>g <strong>of</strong> PHCs <strong>in</strong> thevillage. The questions related to health care are raised<strong>in</strong> the gram sabha. Night services are not available <strong>in</strong>most <strong>of</strong> the PHCs. Doctors do not stay <strong>in</strong> villagesbecause <strong>of</strong> un-repaired quarters <strong>and</strong> lack <strong>of</strong> other facilities.The ma<strong>in</strong>tenance <strong>of</strong> PHCs vests with the zillapanchayat (district level) <strong>in</strong> the exist<strong>in</strong>g framework.There is a need to shift this responsibility to the grampanchayats with the required amount <strong>of</strong> funds, so thatthey can take necessary steps to provide facilities forthe PHC staff.• <strong>Health</strong> policies should address the problems <strong>of</strong> theelderly. NSS results <strong>in</strong>dicate that health problems are<strong>in</strong>creas<strong>in</strong>g among the elderly <strong>and</strong> more than 50 percent<strong>of</strong> the aged population is suffer<strong>in</strong>g from one orthe other illness. The aged are vulnerable due to chang<strong>in</strong>gfamily relations (jo<strong>in</strong>t family to nuclear family),migration <strong>of</strong> children to urban areas <strong>and</strong> <strong>in</strong>creas<strong>in</strong>gf<strong>in</strong>ancial problems among the poor <strong>and</strong> middle-<strong>in</strong>comegroups.• The school health programme was a priority issue <strong>in</strong>NHP-1983, but no major efforts were made to streaml<strong>in</strong>eit. The programme should not be limited only tomedical check-up camps. Creation <strong>of</strong> awareness aboutdiseases, first–aid, personal hygiene, healthy practices<strong>and</strong> sanitation should be a part <strong>of</strong> the school curriculum.‘<strong>Health</strong> Clubs’ on the l<strong>in</strong>es <strong>of</strong> ‘Eco Clubs’programme <strong>in</strong>itiated by the central government maybe <strong>in</strong>troduced <strong>in</strong> schools.• The formation <strong>of</strong> Citizens’ <strong>Health</strong> Care VigilanceCommittee may be encouraged on formal l<strong>in</strong>es toavoid unhealthy practices at civil/district hospitals.• NHP-2002 emphasises the use <strong>of</strong> practitioners, whohave formal tra<strong>in</strong><strong>in</strong>g <strong>in</strong> the <strong>India</strong>n systems <strong>of</strong> medic<strong>in</strong>e<strong>and</strong> homoeopathy, <strong>in</strong> central <strong>and</strong> state governmenthealth programmes, but there may be drawbacks<strong>in</strong> such an <strong>in</strong>tegrated effort. Firstly, the expertise maynot be useful as programmes for control <strong>of</strong> TB, leprosy<strong>and</strong> malaria focus on allopathic drugs. Secondly,preventive care also depends on allopathic drugs, whichare tested, approved <strong>and</strong> widely accepted, particularlyfor family plann<strong>in</strong>g programmes. Thirdly, the use <strong>of</strong>traditional drugs for cur<strong>in</strong>g any <strong>of</strong> these diseases isneither formalised nor popularised. Fourthly, it is wellknown that the majority <strong>of</strong> those who have formaltra<strong>in</strong><strong>in</strong>g <strong>in</strong> the traditional systems, practice allopathy.Moreover, the NSS 52 nd Round results <strong>in</strong>dicate thatdependence on ayurveda <strong>and</strong> homoeopathy is negligible.The policy has not elaborated on the nature <strong>and</strong>extent <strong>of</strong> utilis<strong>in</strong>g their expertise. Without creat<strong>in</strong>g aplatform for wider use <strong>and</strong> recognition <strong>of</strong> traditionalsystems <strong>in</strong> primary <strong>and</strong> promotional care, especially <strong>in</strong>rural areas, <strong>in</strong>tegration may be a wasteful exercise.• Registration <strong>of</strong> all medical practitioners, with the respectivelocal governments <strong>in</strong> rural <strong>and</strong> urban areas, isessential for health care plann<strong>in</strong>g.• Measures must be taken to tackle sale <strong>of</strong> outdateddrugs particularly <strong>in</strong> rural areas. Licenses <strong>of</strong> shops sell<strong>in</strong>gsuch drugs should be cancelled on the spot.• NSS results <strong>in</strong>dicate that the utilisation <strong>of</strong> PHCs is verylow. As a result there is rush at the district hospitals. Asenvisaged <strong>in</strong> NHP-2002, state governments mustenforce compulsory rural post<strong>in</strong>g for all the medicalstudents who have completed their <strong>in</strong>ternship beforeaward<strong>in</strong>g the degrees/certificates to them. It shouldbe a resident rural post<strong>in</strong>g, so that people get servicesat night <strong>and</strong> <strong>in</strong> an emergency.35


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraAnnexure-IReview <strong>of</strong> NSS-based StudiesKrishnan (42 ndnd )• Cost <strong>of</strong> treatment highest for states where facilitiesare least developed.• Poor paid more for health care.• Cost <strong>of</strong> outpatient treatment could be reduced if primaryhealth care is readily accessible to the ruralpopulation.Baru (42 ndnd )• More than 50 percent <strong>of</strong> the bottom 20 percent <strong>and</strong>top 20 percent <strong>in</strong>come groups <strong>in</strong> rural areas <strong>in</strong> a majority<strong>of</strong> the states used public services.• Cuts on secondary <strong>and</strong> tertiary sectors are notwelcome, both under the welfare <strong>and</strong> politicalconsiderations.• Private <strong>and</strong> voluntary sector are skewed <strong>in</strong> favour <strong>of</strong>urban <strong>and</strong> better developed states.Gumber (42 ndnd )• Poor <strong>and</strong> disadvantaged sections spend a higher proportion<strong>of</strong> their <strong>in</strong>come on health care.Shariff et al (42 ndnd )• Report<strong>in</strong>g <strong>of</strong> illness <strong>and</strong> hospitalisation cases haveshown <strong>in</strong>crease with <strong>in</strong>crease <strong>in</strong> <strong>in</strong>come.• Need for regulat<strong>in</strong>g private sector.• Introduction <strong>of</strong> user fees <strong>in</strong> public health centres.• Encourage <strong>in</strong>volvement <strong>of</strong> public –private mix <strong>and</strong>NGOs <strong>in</strong> delivery <strong>of</strong> health services to <strong>in</strong>sulate costescalations.Sen Gita et al. (42 nd <strong>and</strong> 52 ndnd )• Higher untreated illness among women <strong>and</strong> poor• Underestimation <strong>of</strong> illness among women.• There exists positive class gradient for morbidity rates.Alam Moneer (42 nd <strong>and</strong> 52 ndnd )• Increase <strong>in</strong> the over all proportion <strong>of</strong> sick elderly dur<strong>in</strong>g1986-87 to 1995-96 (more than half <strong>of</strong> the elderlyare suffer<strong>in</strong>g from one or the other illness).CMDR (28 th , 42 nd <strong>and</strong> 52 ndnd )• There is urban bias <strong>in</strong> treatment <strong>of</strong> reported ailments.• Poor have highest proportion <strong>of</strong> untreated illness.• Percentage <strong>of</strong> hospitalisation higher <strong>in</strong> rural areas ascompared to urban areas <strong>in</strong> poor states like Orissa,Bihar, MP, UP <strong>and</strong> Rajasthan <strong>in</strong>dicat<strong>in</strong>g non availability<strong>of</strong> services <strong>in</strong> the <strong>in</strong>itial stages or for m<strong>in</strong>orailments.• Per day hospitalisation cost <strong>in</strong> free category <strong>of</strong> treatment<strong>in</strong> public hospitals is higher <strong>in</strong> poor states (Orissa)both <strong>in</strong> rural <strong>and</strong> urban areas.36


Annexure-I: Review <strong>of</strong> NSS-based Studies• There is no change <strong>in</strong> outpatient treatment cost <strong>in</strong>real terms, but hospitalisation cost has <strong>in</strong>creased overthe decade.• The cost <strong>of</strong> subsidised (free) treatment (average expenditureper day for hospitalised care) <strong>in</strong> governmenthospitals is higher <strong>in</strong> the poor state <strong>of</strong> Orissaas compared to Karnataka <strong>and</strong> Maharashtra (42 ndRound).• There is a reduction <strong>in</strong> the level <strong>of</strong> subsidised healthcare. There is a scarcity <strong>of</strong> medic<strong>in</strong>es <strong>and</strong> other facilities<strong>in</strong> public hospitals.• The reform process has had no major effect on thecost <strong>of</strong> non-hospitalised treatment i.e., primaryhealth care.• The burden <strong>of</strong> hospitalisation due to loss <strong>of</strong> household<strong>in</strong>come is higher <strong>in</strong> urban Orissa <strong>and</strong> ruralKarnataka for the bottom 10 percent mpce.• Though the percentage <strong>of</strong> people perceiv<strong>in</strong>g illness asnot serious has come down, there is no correspond<strong>in</strong>g<strong>in</strong>crease <strong>in</strong> the number <strong>of</strong> people treated over thedecade.• Tobacco consumption <strong>and</strong> bad surround<strong>in</strong>gs (marg<strong>in</strong>ally)have a negative impact on health.37


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraAnnexure-IIRounds <strong>of</strong> NSS – A Comparative Picture28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) CommentsI. Morbidity(i) Major Chronic Illnesses:Asthma,TB, rheumatism<strong>and</strong> peptic ulcer <strong>in</strong> ruralareas;Asthma, TB, Rheumatism<strong>and</strong> hypertension <strong>in</strong> urbanareas————*————Jo<strong>in</strong>ts pa<strong>in</strong>, hypertension,gastritis <strong>and</strong> TB <strong>in</strong> ruralareas;Jo<strong>in</strong>ts pa<strong>in</strong>, hypertension,diabetes <strong>and</strong> heart problems<strong>in</strong> urban areasStress, sedentary work,change <strong>in</strong> life style <strong>and</strong> foodhabits could be the reasonsfor <strong>in</strong>creas<strong>in</strong>g problems <strong>of</strong>heart, blood pressure <strong>and</strong>diabetes.TB <strong>and</strong> asthma were themost common chronic diseasesfound <strong>in</strong> rural <strong>and</strong> urbanareas————*————Though the prevalence rate<strong>of</strong> TB has come down it isstill a cause <strong>of</strong> concern <strong>and</strong> isone among the four majorcauses <strong>of</strong> morbidity <strong>in</strong> ruralareasIntroduction <strong>of</strong> new medic<strong>in</strong>es,monitor<strong>in</strong>g for cont<strong>in</strong>uedtreatment <strong>of</strong> disease<strong>and</strong> encourag<strong>in</strong>g researchfor detect<strong>in</strong>g the ma<strong>in</strong> factorscaus<strong>in</strong>g the disease isessential.Diabetes <strong>and</strong> hypertensioncases were more prevalent <strong>in</strong>urban areas as compared tothe cases <strong>in</strong> rural areas.————*————Prevalence <strong>of</strong> diabetes <strong>and</strong>hypertension <strong>in</strong> urban areashas <strong>in</strong>creased <strong>and</strong> hypertensionhas emerged as one <strong>of</strong>the four major diseases <strong>in</strong>rural areas————*————Lower prevalence <strong>of</strong> epilepsy<strong>and</strong> significant cases <strong>of</strong>piles <strong>in</strong> rural <strong>and</strong> urbanareas.————*————Prevalence <strong>of</strong> epilepsy <strong>and</strong>piles has reduced <strong>in</strong> rural areas.In urban areas only theprevalence <strong>of</strong> piles has reducedwhile more number <strong>of</strong>epilepsy cases are reported.————*————38


Annexure-II : Rounds <strong>of</strong> NSS - A Comparative Picture28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) CommentsRheumatism <strong>and</strong> peptic ulcerwere major health problems<strong>in</strong> R & U areas.Incidence <strong>of</strong> measles (per 1lakh persons) was 17 <strong>in</strong> ruralareas <strong>and</strong> 14 <strong>in</strong> urban areasOther Types————*————————*————————*————There is no change <strong>in</strong> the <strong>in</strong>cidence<strong>of</strong> measles cases <strong>in</strong>urban areas, while it hascome down <strong>in</strong> rural areas.Rheumatism seems to be amajor illness even now.Though 52 nd Round doesnot give separately details underrheumatism, high prevalence<strong>of</strong> pa<strong>in</strong> <strong>in</strong> the jo<strong>in</strong>ts do<strong>in</strong>dicate that rheumatism is amajor problem both <strong>in</strong>R & U areas.Measles immunisationprogramme needs to bestrengthened further. Thereis l loss <strong>of</strong> school days dueto measles.Dysentery, <strong>in</strong>fluenza, malaria<strong>and</strong> whoop<strong>in</strong>g cough werethe temporary/acute illnesses<strong>in</strong> rural <strong>and</strong> urban areas.Injuries due to accidentswere 39 <strong>in</strong> rural areas <strong>and</strong> 54<strong>in</strong> urban areas.————*————————*————Incidence <strong>of</strong> dysentery, diarrhoea<strong>and</strong> cholera is higherboth <strong>in</strong> rural <strong>and</strong> urbanareas.Incidence <strong>of</strong> <strong>in</strong>juries due toaccidents have <strong>in</strong>creasedboth <strong>in</strong> rural <strong>and</strong> urbanareas. (63 <strong>in</strong> rural <strong>and</strong> 83 <strong>in</strong>urban).The higher <strong>in</strong>cidence <strong>of</strong> waterborne diseases calls forpublic action <strong>in</strong> the provision<strong>of</strong> safe dr<strong>in</strong>k<strong>in</strong>g water <strong>and</strong>sanitation servicesDue to overall development<strong>of</strong> the economy <strong>and</strong> <strong>in</strong>crease<strong>in</strong> the purchas<strong>in</strong>g power <strong>of</strong>the people, there is <strong>in</strong>creas<strong>in</strong>guse <strong>of</strong> vehicles lead<strong>in</strong>gto more accidents.(iii) Gender(a) Report<strong>in</strong>g <strong>of</strong> illnessFor all types <strong>of</strong> acuteailments <strong>and</strong> chronicillnesses female report<strong>in</strong>gwas less <strong>in</strong> most <strong>of</strong> thestates <strong>and</strong> <strong>in</strong> the countryboth <strong>in</strong> R & U areas.R : M – 47, F – 40.U : M – 43, F – 41.While female report<strong>in</strong>g waslower <strong>in</strong> rural <strong>India</strong>, morefemales reported sickness <strong>in</strong>urban <strong>India</strong>. But, <strong>in</strong> ruralareas, female report<strong>in</strong>gwas higher <strong>in</strong> the higherexpenditure group.R : M – 64, F –63.U : M – 30, F – 33.Report<strong>in</strong>g is found to behigher for females both <strong>in</strong>rural <strong>and</strong> urban <strong>India</strong>.R : M – 84, F – 89.U : M – 81, F – 89.Gender bias <strong>in</strong> report<strong>in</strong>g hasreduced. Women are gett<strong>in</strong>gover their shyness <strong>and</strong> hesitation.It shows that there is<strong>in</strong>creas<strong>in</strong>g awareness amongwomen, which could be dueto education, media, empowerment,health programmes<strong>and</strong> large number<strong>of</strong> health <strong>and</strong> other surveysundertaken <strong>in</strong> the country.39


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) Comments(b) Untreated cases(iv) Age wiseProportion <strong>of</strong> untreatedcases was higher <strong>in</strong> ruralareas <strong>and</strong> higher amongfemales.Rural: M–17, F– 20Urban: M–10, F–12Percentage <strong>of</strong> untreated caseshas reduced over the years.Rural: M–16, F – 18Urban: M – 9, F – 10Untreated ailments by fractilegroup is higher among bottom10% <strong>of</strong> fractile group<strong>and</strong> is higher <strong>in</strong> states likeOrissa, Bihar, Assam <strong>and</strong>Andhra Pradesh.But, there is no report<strong>in</strong>g <strong>of</strong>problems related to reproductivehealth <strong>and</strong> STDs.<strong>Health</strong> surveys should <strong>in</strong>volvetra<strong>in</strong>ed female <strong>in</strong>vestigators<strong>and</strong> more time shouldbe given for collect<strong>in</strong>g qualitative<strong>in</strong>formation fromhouseholds.Among the untreated cases,non-availability <strong>of</strong> medicalfacility <strong>and</strong> f<strong>in</strong>ancial problemswere the two reasonsquoted largely by illiterates.Prevalence rate <strong>of</strong> morbiditywas higher among <strong>in</strong>fants<strong>and</strong> aged.————*————Report<strong>in</strong>g <strong>of</strong> illness is higherfor aged, middle aged <strong>and</strong>children.Incidence <strong>of</strong> morbiditydue to chronic diseasesis lower among the children(0 – 14)<strong>Health</strong> policies should addressto the problems <strong>of</strong>aged. Aged are a vulnerablesection due to chang<strong>in</strong>g familyrelations (jo<strong>in</strong>t family tonuclear family), migration <strong>of</strong>children to urban areas <strong>and</strong><strong>in</strong>creas<strong>in</strong>g f<strong>in</strong>ancial problemsamong poor <strong>and</strong> middle <strong>in</strong>comegroups.(v) State-wiseThe prevalence rate <strong>of</strong> morbidity(all types) <strong>and</strong> prevalence<strong>of</strong> morbidity (all ages)was higher <strong>in</strong> Kerala <strong>and</strong>lower <strong>in</strong> Bihar both <strong>in</strong> R&Uareas. The number <strong>of</strong> per-————*————The <strong>in</strong>cidence <strong>of</strong> morbidityfor acute <strong>and</strong> other diseases<strong>in</strong> all the age groups <strong>and</strong> forboth the areas is higher <strong>in</strong>Tripura <strong>and</strong> Ch<strong>and</strong>igarh <strong>and</strong>lower <strong>in</strong> Manipur <strong>and</strong>Education <strong>and</strong> awarenessprobably lead to higher report<strong>in</strong>g<strong>of</strong> illness.40


Annexure-II: Rounds <strong>of</strong> NSS - A Comparative Picture28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) Commentssons suffer<strong>in</strong>g from chronicdiseases was also higher <strong>in</strong>Kerala but lower <strong>in</strong> Gujarat.(vi) Inpatients————*————(vii) OutpatientsPrevalence rate <strong>of</strong> ail<strong>in</strong>gpersons was 43 <strong>and</strong> 42 per1000 <strong>in</strong> rural <strong>and</strong> urban areasrespectively.(viii) Ailments treated————*————Hospitalised cases (per 1000)were 28 <strong>and</strong> 17 <strong>in</strong> rural <strong>and</strong>urban areas.The number <strong>of</strong> hospitalisedcases was highest for Keralaboth <strong>in</strong> rural <strong>and</strong> urbanareas.OPs <strong>in</strong>creased to 64 (per1000) <strong>in</strong> rural areas, but decreasedto 31 per 1000 <strong>in</strong>urban areas.82% <strong>and</strong> 89% <strong>of</strong> the ail<strong>in</strong>gpersons treated <strong>in</strong> rural <strong>and</strong>urban areas.R : M – 83, F – 80.U : M – 90, F – 88.Mizoram. Number <strong>of</strong>people report<strong>in</strong>g chronic ailmentsis higher <strong>in</strong> Kerala <strong>and</strong>Ch<strong>and</strong>igarh <strong>and</strong> lower <strong>in</strong>north-eastern states. Amongthe major states report<strong>in</strong>g(PAP- per 1000) is higher <strong>in</strong>Assam <strong>and</strong> Punjab <strong>and</strong>lower <strong>in</strong> Rajasthan, MP, Bihar<strong>and</strong> Gujarat.Hospitalised cases (per 1000)reduced to 13 <strong>in</strong> rural areas,but <strong>in</strong>creased to 20 <strong>in</strong> urbanareas.Hospitalised cases (per 1000)higher <strong>in</strong> Kerala.The proportion <strong>of</strong> ail<strong>in</strong>gpersons has <strong>in</strong>creased to86(per 1000) <strong>in</strong> rural areas<strong>and</strong> 84(per 1000) <strong>in</strong> urbanareas.83% <strong>and</strong> 91% <strong>of</strong> the ail<strong>in</strong>gpersons treated <strong>in</strong> rural <strong>and</strong>urban areas.R : M – 84, F – 82.U : M –91, F – 90.Proportion <strong>of</strong> personshospitalised is higher wherebed to population ratio islower (Kerala) <strong>and</strong>hospitalised cases are lower<strong>in</strong> States where bed strengthis less (Orissa, Bihar, MP,Rajasthan <strong>and</strong> UP) Proportion<strong>of</strong> hospitalisation <strong>in</strong>creaseswith the <strong>in</strong>crease <strong>in</strong>mpce fractile group.There is <strong>in</strong>crease <strong>in</strong> the prevalence<strong>of</strong> morbidity or <strong>in</strong>crease<strong>in</strong> proportion <strong>of</strong>people suffer<strong>in</strong>g. Unlikehospitalised cases, the distribution<strong>of</strong> PAP (per 1000)over fractile groups does notshow any particular pattern.Gender bias <strong>in</strong> treatment <strong>of</strong>ailments has reduced over theyears <strong>and</strong> there is no significantdifference between males<strong>and</strong> females <strong>in</strong> treat<strong>in</strong>g illnesses.But, there is urban bias<strong>in</strong> treatment <strong>of</strong> ailments,41


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) CommentsII. Reasons for not tak<strong>in</strong>g treatmentwhich has rema<strong>in</strong>edunchanged over the years.————*————Not serious R – 75%,U – 81%F<strong>in</strong>ancial problems R – 5%,U – 10%Non availability <strong>of</strong> health carefacility R–3%, U – 0%Non-availability <strong>and</strong> f<strong>in</strong>ancialproblems were the reasonslargely quoted <strong>in</strong> poor statesviz. Bihar, Orissa <strong>and</strong>Rajasthan. F<strong>in</strong>ances were alsoa major problem <strong>in</strong> J&K.Not seriousR – 52%, U – 60%.F<strong>in</strong>ancial ProblemR – 24%, U – 21%.Non availabilityR – 9% (<strong>in</strong>creased)U – 1%.F<strong>in</strong>ancial problems <strong>and</strong> nonavailabilityare major problems<strong>in</strong> poor states. In Orissathese two were the reasonsquoted largely as comparedto Maharashtra <strong>and</strong>Karnataka.III Type <strong>of</strong> treatment————*————61% <strong>in</strong> rural <strong>and</strong> 55% <strong>in</strong> urbanhospitalised cases <strong>in</strong>govt. hospitals received freetreatment.In Orissa, where dependenceon govt. hospitals, forIP care is very high <strong>in</strong> thecountry, only 26% <strong>of</strong> IPsreceived free medic<strong>in</strong>es <strong>in</strong>spite <strong>of</strong> 98% <strong>of</strong> the casesadmitted to govt. hospitalbe<strong>in</strong>g treated <strong>in</strong> free ward.42% <strong>in</strong> rural areas <strong>and</strong> 38%<strong>in</strong> urban areas received freetreatment.There is reduction <strong>in</strong> the level<strong>of</strong> subsidised health care.There is scarcity <strong>of</strong> medic<strong>in</strong>es<strong>and</strong> other facilities.IV Average expenditure (Per hospitalised case)————*————Outpatient:RuralGovt. - Rs. 73Pvt. - Rs. 77UrbanGovt . - Rs. 74Pvt . - Rs. 80RuralGovt . - Rs. 129.Pvt. - Rs. 186.UrbanGovt . - Rs. 166.Pvt . - Rs. 200NSSO data on private Expenditurepattern on medicalcare also reveal that rich(top 10%) spend 9% to 12%<strong>of</strong> their total expenditure. onhealth care while, poor (BPL)spend 2% to 3% <strong>of</strong> their totalexpenditure on health care.42


Annexure-II: Rounds <strong>of</strong> NSS - A Comparative Picture28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) CommentsInpatients:Rural – Rs. 853Per day per hospitalised caseGovt.Free: R – 33 U – 36Pay gen: 83 U – 54Pay spl.: R – 74 U – 65Pvt.Free: R – 59 U – 60Pay gen: R – 134 U – 82Pay spl.: R – 210 U – 126Urban – Rs. 1183Rural (Public+Private)M – Rs. 151,F – Rs. 137P – Rs. 144Urban (Public+Private)M – Rs. 187, F – Rs. 164P – Rs. 175Rural (Public+Private)M – Rs. 3778,F – Rs.2510P – Rs. 3202Urban (Public+Private)M – Rs. 4185, F – Rs. 3625P – Rs. 3921RuralPublic sector hosp – Rs. 2080Private sector hosp – Rs. 4300UrbanPublic sector hosp. – Rs. 2195Private sector hosp –Rs. 5344RuralBottom 10% fractile group:Govt. – Rs. 961Pvt. – Rs. 1176Top 10% fractile group:Govt. – Rs. 5126Pvt. – Rs. 7619UrbanBottom 10% fractile group:Govt. – Rs. 497Pvt – Rs.1186Top 10% fractile group:Govt – Rs.8104Pvt. – Rs. 12957Average per capita monthlyhealth expenditure was3(1992) <strong>and</strong> 7(1998) forBPL families <strong>and</strong> 53(1992)104(1998) for top 10% expenditureclass. Share <strong>of</strong>medical expenditure. <strong>in</strong> totalexpenditure has <strong>in</strong>creasedfor both poor <strong>and</strong> top 10%class.43


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) CommentsV Costl<strong>in</strong>ess————*————Inpatients:In rural areas, hospitalisationcost per day was lower <strong>in</strong>Mizoram, Sikkim &Lakshdweep (Rs. 10 toRs. 25) <strong>and</strong> higher <strong>in</strong> Haryana& Punjab (Rs. 90 to Rs. 125)In urban areas, per day costhigher <strong>in</strong> Andaman &Nicobar isl<strong>and</strong>s, Lakshdweep,Maharashtra, UP,Punjab (Rs.108 to Rs.193)<strong>and</strong> lower <strong>in</strong> Mizoram,Sikkim & Pondicherry (Rs.20to Rs.25). In poor states costvaried between Rs. 40 toRs.70 per dayCost per hospitalised case:RuralKerala – Rs. 464Punjab – Rs. 1402UrbanKerala – Rs. 464UP – Rs. 1802Karnataka: R – Rs. 919U – Rs. 1230Maharashtra: R – Rs. 951U – Rs. 1597Orissa: R – Rs. 744U – Rs. 767Hospitalisation <strong>in</strong> rural areasis costlier <strong>in</strong>UP : Govt- Rs.4237An. Pr-Pvt.-Rs. 7822Hospitalisation <strong>in</strong> urban areasis costlier <strong>in</strong>Haryana: Govt- Rs. 8888Orissa: Pvt-11829Cheaper <strong>in</strong>RuralTamil Nadu: Govt – Rs. 751Assam: Pvt – Rs. 2003UrbanTamil Nadu: Govt – Rs.934Kerala – Pvt. Rs. 2254For the rural poorhospitalisation <strong>in</strong> govt.hospitals is costlier(Rs. 961) than that for urbanpoor (Rs. 497).VI Surround<strong>in</strong>gs <strong>and</strong> morbidity————*————————*————Unhealthy surround<strong>in</strong>gshave a marg<strong>in</strong>al negativeeffect on health.Further studies <strong>and</strong> researchis essential to probe <strong>in</strong>to thel<strong>in</strong>kage <strong>of</strong> morbidity withsurround<strong>in</strong>gs44


Annexure-II: Rounds <strong>of</strong> NSS - A Comparative Picture28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) CommentsVII Tobacco consumption <strong>and</strong> morbidity————*————————*————Affects health status. Prevalence<strong>of</strong> cancer is moreamong smokers.Information on other habitsshould be presented as prevalence<strong>of</strong> TB is higher amongthose who have other habits.VIII UtilisationInpatients :60% <strong>of</strong> the IPs <strong>in</strong> rural areas<strong>and</strong> % <strong>of</strong> the IPs <strong>in</strong> urbanareas were treated <strong>in</strong> govt.hospitals.In poor <strong>and</strong> hilly areas governmenthospitals/ PHCsprovided for IP as well asOP care.Public sector provides IPcare for 44% <strong>in</strong> rural areas<strong>and</strong> 43% <strong>in</strong> urban areasIn poor <strong>and</strong> hilly areas dependenceon govt. forhospitalised care is stillhigher (viz. Orissa, Rajasthan& Assam).There is reduction <strong>in</strong> use <strong>of</strong>public sector for hospitalisedtreatment also.Percentage <strong>of</strong> beds <strong>in</strong> govt.hospitals is more than 80%<strong>in</strong> these states.————*————Outpatients :25% <strong>of</strong> OPs <strong>in</strong> rural areas<strong>and</strong> 26% <strong>of</strong> OPs <strong>in</strong> urbanareas are treated <strong>in</strong> publichealth centres/hospitals.Public sector provides for19% <strong>in</strong> rural areas <strong>and</strong> 20%<strong>in</strong> urban areas for OP care.Dependence <strong>of</strong> poor onPHCs has reduced.There is reduction <strong>in</strong> use <strong>of</strong>public sector for out-patientalso.For OP care, there isgreater dependence on governmentsources (>30%) <strong>in</strong>Orissa, Rajasthan <strong>in</strong> rural <strong>and</strong>urban areas, <strong>in</strong> urban areas <strong>in</strong>Bihar <strong>and</strong> this dependencesupports the argument forcont<strong>in</strong>ued governmentspend<strong>in</strong>g <strong>and</strong> provision <strong>of</strong>health care particularly the <strong>in</strong>patientcare.IX Average <strong>of</strong> loss <strong>of</strong> household <strong>in</strong>come (<strong>in</strong> Rs.) per ailment (15 days)————*————————*————R – Rs. 55, U – Rs. 44. Variesfrom Rs. 2 (<strong>in</strong> Daman & Diu)to Rs. 185 (<strong>in</strong> AndhraPradesh).Burden <strong>of</strong> OP <strong>and</strong> <strong>in</strong> patientillness is higher <strong>in</strong> rural areas.45


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And Maharashtra28 th Round (1973–74) 42 nd Round(1986–87) 52 nd Round(1995–96) Comments————*————R – Rs. 563, U – Rs. 521Varies from Rs. 270 toRs. 937 for bottom 10%to top 10 % mpce classrespectively.* = Information not available <strong>in</strong> NSSO published sources. Note: BP=Blood Pressure, R=Rural, U=Urban, IP=Inpatient, OP=Outpatient, M=Male,F=Female, govt.=government, pvt=private, mpce=monthly per capita expenditure.Source: NSSO (1980, 1992 & 1998), Notes on Morbidity, 28 th (1973-74), Sarvekshana, Report No. 364 (42 nd )46


Annexure-IIITablesTable A-1: Expenditure on Medical CareYear 1992 1998% <strong>of</strong> People Below Poverty L<strong>in</strong>e 30.87 27.09Average Per Capita Monthly Medical Expenditure 2.83 7.05Average Per Capita Monthly Consumer Expenditure 123.8 249.99% share <strong>of</strong> Medical to Total Expenditure 2.29 2.821992 1998Top 10% <strong>of</strong> the Expenditure Class 10 10Average Per Capita Monthly Medical Expenditure 53.1 103.91Average Per Capita Monthly Consumer Expenditure 588.19 895.19% Share <strong>of</strong> Medical to Total Expenditure 9.03 11.61Source: NSSO “Sarvekshana” series47


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraTable A-2: Incidence <strong>of</strong> fevers <strong>of</strong> short duration for population liv<strong>in</strong>g<strong>in</strong> different environments (52 nd Round)EnvironmentNumber <strong>of</strong> ailments per 1000 personsMale Female PersonRuralUse <strong>of</strong> <strong>in</strong>secticidePremises sprayed with <strong>in</strong>secticide 20 17 18Premises not sprayed with <strong>in</strong>secticide 16 17 17Animal shed <strong>in</strong> the neighbourhoodWith animal shed attached to residence 17 16 16With animal shed detached from residence 16 17 17With no animal shed 17 17 17Dra<strong>in</strong>age systemNo dra<strong>in</strong>age 17 18 18Open kutcha 15 15 15Open pucca 18 17 17Covered pucca 16 12 14Underground 14 20 17All households 17 17 17UrbanUse <strong>of</strong> <strong>in</strong>secticidePremises sprayed with <strong>in</strong>secticide 17 16 17Premises not sprayed with <strong>in</strong>secticide 15 15 15Animal shed <strong>in</strong> the neighborhoodWith animal shed attached to residence 16 16 16With animal shed detached from residence 19 19 19With no animal shed 15 15 15Dra<strong>in</strong>age systemNo dra<strong>in</strong>age 19 21 20Open kutcha 16 14 15Open pucca 14 15 15Covered pucca 12 13 12Underground 15 14 14All households 15 16 15Source: NSSO(1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd Round(1995-96),Report No.44148


TablesTable A-3: Prevalence <strong>of</strong> tuberculosis among tobacco consumers <strong>and</strong> non-consumersaged 10 Years <strong>and</strong> above (52 nd Round)Tobacco consumption habitNumber <strong>of</strong> ailment per 1000personsMale Female PersonRuralOnly smok<strong>in</strong>g 108 243 120Other habits only 207 134 182Smok<strong>in</strong>g <strong>and</strong> others 52 50None 144 70 98All 136 79 108UrbanOnly smok<strong>in</strong>g 127 30 124Other habits only 181 257 202Smok<strong>in</strong>g <strong>and</strong> others 87 - 86None 60 60 60All 84 68 77Source: NSSO(1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd Round(1995-96), Report No.441Table A- 4: Prevalence <strong>of</strong> different chronic (long duration) diseases among consumers <strong>and</strong>non-consumers <strong>of</strong> tobacco aged 10 years <strong>and</strong> above (52 nd Round)TobaccoNumber <strong>of</strong> ailment per 1000 report<strong>in</strong>g personsconsumption habit Cancer Heart disease High / Low blood pressureMale Female Person Male Female Person Male Female PersonRuralOnly smok<strong>in</strong>g 30 234 49 54 135 61 170 205 173Other habits only 14 18 15 75 34 61 98 196 131Smok<strong>in</strong>g <strong>and</strong> others 6 6 60 58 71 83 71None 16 23 20 96 82 87 74 139 114All 17 27 22 80 78 79 97 145 121UrbanOnly smok<strong>in</strong>g 26 25 81 767 108 203 643 220Other habits only 3 34 12 206 183 200 166 424 239Smok<strong>in</strong>g <strong>and</strong> others 108 107 287 282None 8 24 17 141 107 122 134 336 248All 10 24 17 135 115 126 159 341 246Source: NSSO (1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd Round (1995-96), Report No.44149


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraTable A-5: Incidence <strong>of</strong> difference acute (short - duration) diseases among consumers <strong>and</strong>non - consumers <strong>of</strong> tobacco aged 10 years <strong>and</strong> above (52 nd Round)TobaccoNumber <strong>of</strong> ailment per 1000 report<strong>in</strong>g personsconsumption habit Acute respiratory Cerebral stroke Heart failureMale Female Person Male Female Person Male Female PersonRuralOnly smok<strong>in</strong>g 52 89 55 0 0Other habits only 27 6 20 6 2Smok<strong>in</strong>g <strong>and</strong> others 26 23 26 0 0 17 16None 6 22 16 3 2 2 8 3 5All 21 22 21 2 1 1 6 3 5UrbanOnly smok<strong>in</strong>g 66 63 14 13Other habits only 32 109 54 7 5 5 13 7Smok<strong>in</strong>g <strong>and</strong> others 4 4None 30 25 27 0 0 0 0 10 6All 34 28 31 1 0 1 3 10 6Source: NSSO (1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd Round (1995-96), Report No.441Table A-6: Per 1000 distribution <strong>of</strong> hospitalised cases dur<strong>in</strong>g last 365 days by type<strong>of</strong> ward <strong>of</strong> Government <strong>and</strong> other hospitals (52 nd Round)State Government OtherFree Pay<strong>in</strong>g gen Pay<strong>in</strong>g spl All Free Pay<strong>in</strong>g gen Pay<strong>in</strong>g spl AllRuralKarnataka 364 76 11 450 14 424 95 533Maharashtra 273 34 1 309 14 542 124 680Orissa 827 15 0 842 4 53 29 87All <strong>India</strong> 388 41 8 438 28 411 91 529UrbanKarnataka 235 33 24 293 18 430 243 691Maharashtra 251 50 5 307 35 435 188 657Orissa 733 39 7 779 19 115 49 183All <strong>India</strong> 347 55 16 419 35 372 146 553Source: NSSO (1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd Round (1995-96), Report No.44150


TablesTable A- 7: Average total expenditure per hospitalised case dur<strong>in</strong>g last 365 days by type <strong>of</strong>hospital for each type <strong>of</strong> ward (52 nd Round)(In Rs.)States Government Hospital Other HospitalsFree Pay<strong>in</strong>g gen Pay<strong>in</strong>g spl All Free Pay<strong>in</strong>g gen Pay<strong>in</strong>g spl AllRuralKarnataka 1510 1805 11199 1791 2038 3650 6402 4100Maharashtra 1217 3984 5922 1529 808 2726 9011 3836Orissa 1662 2364 12100 1681 445 2331 3329 2583All <strong>India</strong> 1781 3241 10540 2080 1463 3393 9281 4300UrbanKarnataka 1176 3935 2104 1564 948 3284 6919 4502Maharashtra 1164 1982 10082 1439 2507 4787 7157 5345Orissa 1886 3234 21956 2142 157 9223 22320 11829All <strong>India</strong> 1521 3350 12474 2195 1752 4295 8893 5344Source: Source: NSSO (1998), Morbidity <strong>and</strong> Treatment <strong>of</strong> Ailments, 52 nd Round (1995-96), Report No.44151


<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> <strong>Health</strong> <strong>Sector</strong> <strong>in</strong> <strong>India</strong> with Special Reference toOrissa, Karnataka And MaharashtraReferencesAlam, Moneer 2001. ‘Look<strong>in</strong>g Beyond the Current DemographicScenario: Chang<strong>in</strong>g age Composition, Age<strong>in</strong>g <strong>and</strong> grow<strong>in</strong>ghealth issues <strong>in</strong> <strong>India</strong> <strong>and</strong> South Asia’, Discussion Paper Series34, <strong>Institute</strong> <strong>of</strong> <strong>Economic</strong> Growth, Delhi.Assogba, L., Campbell, Oona <strong>and</strong> Allan, G.1989. ‘Advantages <strong>and</strong>limitations <strong>of</strong> large scale health <strong>in</strong>terview survey for the study<strong>of</strong> health <strong>and</strong> its determ<strong>in</strong>ants’, <strong>in</strong> John Clel<strong>and</strong> <strong>and</strong> Allan Hill(ed.), The <strong>Health</strong> Transition Series, 3, 269-288. <strong>Health</strong> TransitionCentre, The Australian National University.Baru, Rama V. 1999. ‘The Structure <strong>and</strong> Utilisation <strong>of</strong> health Services:An Inter-State Analysis’ <strong>in</strong> Mohan Rao (ed.), Dis<strong>in</strong>vest<strong>in</strong>g <strong>in</strong>health – The World Bank’s prescriptions for health, 129-144. NewDelhi: Sage Publication.Peter, Berman 1996. ‘<strong>Health</strong> Care Expenditure <strong>in</strong> <strong>India</strong>’, <strong>in</strong> MonicaDas Gupta et. al. (ed.), <strong>Health</strong>, Poverty <strong>and</strong> Development <strong>in</strong> <strong>India</strong>,331-338. Oxford University Press.Bhat, Ramesh 1996. ‘Regulat<strong>in</strong>g the private care sector: The case <strong>of</strong>the <strong>India</strong>n consumer protection Act’, <strong>Health</strong> Policy <strong>and</strong> Plann<strong>in</strong>g,2(3), 265-279.Chauhan, Devaraj; Antia, N.H. <strong>and</strong> Kamdar, Sangita 1997. <strong>Health</strong>Care <strong>in</strong> <strong>India</strong> – A pr<strong>of</strong>ile, The Foundation for Research <strong>in</strong>Community <strong>Health</strong>, Mumbai/Pune.Evlo, K. 1993. ‘Macroeconomic Changes <strong>in</strong> the <strong>Health</strong> <strong>Sector</strong> <strong>in</strong>Gu<strong>in</strong>ea - Bissau’, Country Paper Macroeconomics, <strong>Health</strong> <strong>and</strong>Development Series 8, WHO, Geneva.Gerdtham, Ulf. G., Sigaar, Jer; Andersson, Fredrich <strong>and</strong> Jonsson,Bengt 1992. ‘An econometric analysis <strong>of</strong> health care expenditure:A cross-section study <strong>of</strong> OECD countries’, Journal <strong>of</strong> <strong>Health</strong><strong>Economic</strong>s, 11(1), 63-84.Hitiris, Theo <strong>and</strong> Posnett, John 1992. ‘The determ<strong>in</strong>ants <strong>and</strong> effects<strong>of</strong> health expenditure <strong>in</strong> developed countries’, Journal <strong>of</strong> <strong>Health</strong><strong>Economic</strong>s, 11(2), 173-181.IIM 1987. ‘<strong>Health</strong> Care F<strong>in</strong>anc<strong>in</strong>g <strong>in</strong> <strong>India</strong>- Based on Case Studies<strong>in</strong> Maharashtra <strong>and</strong> West Bengal’, Ahmedabad.Janathan, Gruber 1994. ‘The effect <strong>of</strong> competitive pressure oncharity: Hospital responses to price shopp<strong>in</strong>g <strong>in</strong> California’,Journal <strong>of</strong> <strong>Health</strong> <strong>Economic</strong>s, 13(2), 183-211.Kashyap, Subhash (ed.) 1990. National Policy Studies, Tata Mc Grow-Hill Publish<strong>in</strong>g Company Ltd., New DelhiKrishnan, T.N. 1996. ‘Hospitalization Insurance – A proposal’,<strong>Economic</strong> <strong>and</strong> Political Weekly, 31(15), 944–946.Krishnan, T.N. 1999. ‘Access to health <strong>and</strong> the Burden <strong>of</strong> Treatment<strong>in</strong> <strong>India</strong>: An Inter – State Comparison, <strong>in</strong> Mohan Rao (ed.),Dis<strong>in</strong>vest<strong>in</strong>g <strong>in</strong> health – The World Bank’s prescriptions for health,208–230. Sage Publications.Labelle, Roberta; Stoddart, Greg <strong>and</strong> Rice, Thomas 1994. A reexam<strong>in</strong>ation<strong>of</strong> the mean<strong>in</strong>g <strong>and</strong> importance <strong>of</strong> supplier<strong>in</strong>duced dem<strong>and</strong>, Journal <strong>of</strong> <strong>Health</strong> <strong>Economic</strong>s, 13, 347–368.Murray, Christopher <strong>and</strong> L<strong>in</strong>coln, C. Chen 1992. ‘Underst<strong>and</strong><strong>in</strong>gMorbidity Changes’, Population <strong>and</strong> Development Review, 18(3),481-503.Murray, Christopher; Fishermen, Richard; Phillips, Margaret <strong>and</strong>Willis, Carla 1992. Adult Morbidity: Limited Data <strong>and</strong>Methodological Uncerta<strong>in</strong>ty, World Bank. New York: OxfordUniversity Press.National Family <strong>Health</strong> Survey (NFHS – 2) – Key F<strong>in</strong>d<strong>in</strong>gs (1998 –99), IIPS, Mumbai, <strong>India</strong>.National <strong>Health</strong> Policy 2001. Government <strong>of</strong> <strong>India</strong>. (availableonl<strong>in</strong>e http:// mohfw.nic.<strong>in</strong>/np2002.htm).52


ReferencesNational Sample Survey Organisation 1998. Morbidity <strong>and</strong> Treatment<strong>of</strong> Ailments, 52 nd round(1995-96), Report 441.National Sample Survey Organisation 1992. ‘Morbidity <strong>and</strong>Utilisation <strong>of</strong> Medical Services’, Sarvekshana, 42 nd round (1986– 87), 51 st Issue, 12(4), Issue 39, April – June.National Sample Survey Organisation 1980. ‘Notes on Morbidity’,Sarvekshana, 28 th Round (1973-74), 4(1 & 2).Panchamukhi P.R. 2001. ‘<strong>Economic</strong> <strong>Reforms</strong> <strong>and</strong> the health <strong>Sector</strong>:Analysis <strong>of</strong> the Nexus <strong>in</strong> the context <strong>of</strong> Karnataka’, <strong>in</strong> ArunaP. Bali (ed.), Refashion<strong>in</strong>g the new <strong>Economic</strong> Order <strong>in</strong> TransitionKarnataka, 302-349. Rawat Publications.Plann<strong>in</strong>g Commission 2001. National Human Development Report,Government <strong>of</strong> <strong>India</strong>.Prabhu, K . Seeta 2001. ‘<strong>Health</strong> <strong>Sector</strong> <strong>and</strong> <strong>Economic</strong> <strong>Reforms</strong> - Astudy <strong>of</strong> Maharashtra <strong>and</strong> Tamil Nadu’, <strong>in</strong> Imrana Qadeer,Kasturi Sen <strong>and</strong> K.R.N. Nayar (ed.), Public health <strong>and</strong> Poverty <strong>of</strong><strong>Reforms</strong> – The South Asian Predicament, 253 – 275. SagePublications.Qadeer, Imrana 2001. ‘Impact <strong>of</strong> Structural Adjustment Programs<strong>in</strong> concepts <strong>in</strong> Public <strong>Health</strong>’, <strong>in</strong> Imrana Qadeer, Kasturi Sen<strong>and</strong> K.R.N. Nayar (ed.), Public health <strong>and</strong> Poverty <strong>of</strong> <strong>Reforms</strong> –The South Asian Predicament, 117-136. Sage Publications.Sawhney, Maneeta 2001. ‘The category <strong>of</strong> the chronic – Someconceptual issues <strong>in</strong> the context <strong>of</strong> <strong>India</strong>’, IEG DiscussionPaper Series 36, IEG, Delhi.Sen, Gita; Iyer, Aditi <strong>and</strong> George, Asha 2002. ‘Structural <strong>Reforms</strong><strong>and</strong> <strong>Health</strong> Equity – A Comparison <strong>of</strong> NSS Surveys, 1986-87<strong>and</strong> 1995-96’, <strong>Economic</strong> <strong>and</strong> Political Weekly, 37(14), April 6,1342-1352.Sen, Kasturi 2001. ‘<strong>Health</strong> <strong>Reforms</strong> <strong>and</strong> Develop<strong>in</strong>g Countries –A Critique’, <strong>in</strong> Imrana Qadeer, Kasturi Sen <strong>and</strong> K.R.N. Nayar(ed.), Public health <strong>and</strong> Poverty <strong>of</strong> <strong>Reforms</strong> – The South AsianPredicament, 137–153. Sage Publications.Shariff, Abusaleh; Gumber, Anil; Duggal, Ravi <strong>and</strong> Alam, Moneer1999. ‘<strong>Health</strong> Care F<strong>in</strong>anc<strong>in</strong>g <strong>and</strong> Insurance: Perspective for theN<strong>in</strong>th plan (1997 – 2002)’, Marg<strong>in</strong>, 31(2), 38–67.WHO 1990. Diet, Nutrition <strong>and</strong> the Prevention <strong>of</strong> Chronic Diseases,WHO, Geneva.Wood, P.H.N. <strong>and</strong> Foster G.M. 1986. Scientific Approaches to health<strong>and</strong> health care, WHO, Geneva.World Bank 1993. World Development Report - Invest<strong>in</strong>g <strong>in</strong> <strong>Health</strong>,Oxford University Press.53


About the Series EditorsAasha Kapur Mehta is Pr<strong>of</strong>essor <strong>of</strong> <strong>Economic</strong>s at the <strong>India</strong>n <strong>Institute</strong> <strong>of</strong> Public Adm<strong>in</strong>istration, New Delhi <strong>and</strong> leadsthe Chronic Poverty Research Centre’s work <strong>in</strong> <strong>India</strong>. She has a Masters from Delhi School <strong>of</strong> <strong>Economic</strong>s, an M.Philfrom Jawaharlal Nehru University <strong>and</strong> a PhD from Iowa State University, USA. She has been teach<strong>in</strong>g s<strong>in</strong>ce 1975,<strong>in</strong>itially at a college <strong>of</strong> Delhi University <strong>and</strong> then at IIPA s<strong>in</strong>ce 1986. She is a Fulbright scholar <strong>and</strong> a McNamara fellow.Her area <strong>of</strong> research is now entirely focused on poverty reduction <strong>and</strong> equity related issues.Pradeep Sharma is an Assistant Resident Representative <strong>and</strong> heads the Public Policy <strong>and</strong> Local Governance Unit <strong>in</strong>the <strong>India</strong> Country Office <strong>of</strong> United Nations Development Programme (UNDP). A post-graduate from University <strong>of</strong> EastAnglia (UK) <strong>and</strong> Doctorate from Jawaharlal Nehru University, he has held several advisory positions <strong>in</strong> the Government<strong>of</strong> <strong>India</strong> <strong>and</strong> has taught economic policy at LBS National Academy <strong>of</strong> Adm<strong>in</strong>istration, Mussoorie. He has severalpublications to his credit.Sujata S<strong>in</strong>gh is an Associate Pr<strong>of</strong>essor at the <strong>India</strong>n <strong>Institute</strong> <strong>of</strong> Public Adm<strong>in</strong>istration. She completed her doctoralstudies <strong>in</strong> Public Adm<strong>in</strong>istration <strong>and</strong> Public Policy at Auburn University, USA. Her primary research <strong>in</strong>terests are <strong>in</strong> thearea <strong>of</strong> Comparative <strong>and</strong> Development Adm<strong>in</strong>istration, Public Policy Analysis, Organizational Theory <strong>and</strong> Evaluation <strong>of</strong>Rural Development Programmes.R.K. Tiwari is Senior Consultant, Centre for Public Policy <strong>and</strong> Governance, <strong>Institute</strong> <strong>of</strong> Applied Manpower Research,Delhi. He was formerly Pr<strong>of</strong>essor <strong>of</strong> Public Adm<strong>in</strong>istration at the <strong>India</strong>n <strong>Institute</strong> <strong>of</strong> Public Adm<strong>in</strong>istration (IIPA), NewDelhi. He received his education at Gwalior, Allahabad <strong>and</strong> Delhi. He has undertaken a number <strong>of</strong> research studies<strong>in</strong> Development Adm<strong>in</strong>istration, Rural Development, Personnel Adm<strong>in</strong>istration, Tribal Development, Human Rights<strong>and</strong> Public Policy. He has conducted consultancy assignments for the Department <strong>of</strong> Posts <strong>and</strong> <strong>in</strong> the M<strong>in</strong>istry <strong>of</strong> RuralDevelopment, Government <strong>of</strong> <strong>India</strong>; <strong>and</strong> for the Government <strong>of</strong> Orissa <strong>and</strong> the Narmada Plann<strong>in</strong>g Agency, Government<strong>of</strong> Madhya Pradesh. He has published several books.P.R. Panchamukhi, is Pr<strong>of</strong>essor Emeritus, Centre for Multi-discipl<strong>in</strong>ary Development Research (CMDR), Dharwad,where he was Founder-Director. He has a doctorate <strong>in</strong> Pubic F<strong>in</strong>ance from Bombay University. He has beenawarded a number <strong>of</strong> coveted scholarships <strong>and</strong> prizes <strong>in</strong>clud<strong>in</strong>g Seth Mangaldas Jesh<strong>in</strong>gbhai <strong>Economic</strong>s prize forst<strong>and</strong><strong>in</strong>g first <strong>in</strong> the Bombay University <strong>and</strong> V.K.R.V.Rao Award for significant orig<strong>in</strong>al research contribution. He hasheld the CN Vakil Chair <strong>in</strong> General <strong>Economic</strong>s <strong>of</strong> Bombay University <strong>and</strong> has worked as Director, <strong>India</strong>n <strong>Institute</strong> <strong>of</strong>Education, Pune. He been Advisor to the Plann<strong>in</strong>g Commission <strong>and</strong> has served on a number <strong>of</strong> committees <strong>of</strong> Govt.<strong>of</strong> <strong>India</strong>, Govt. <strong>of</strong> Karnataka, <strong>and</strong> Maharashtra, <strong>and</strong> been a consultant/adviser to <strong>in</strong>ternational agencies like TheWorld Bank, UNICEF, UNESCO, Columbia University, WHO-Geneva, ESCAP-Bangkok, Indo-French Round Table.He has been Chief Editor /Editor <strong>of</strong> different national level journals. He has authored 15 major research works <strong>and</strong>has more than 89 research papers <strong>in</strong> national <strong>and</strong> <strong>in</strong>ternational publications <strong>in</strong> the areas <strong>of</strong> Education, <strong>Health</strong>,Public F<strong>in</strong>ance <strong>and</strong> Developmental <strong>Economic</strong>s.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!