Decision-making✜ develop a critical mass of researchers in <strong>the</strong> field of<strong>health</strong> workforce research;✜ build <strong>health</strong> workforce research in<strong>to</strong> national <strong>health</strong>systems research agendas;✜ streng<strong>the</strong>n <strong>the</strong> link between policy-makers <strong>and</strong>researchers at country level;✜ promote innovative approaches <strong>to</strong> bridge <strong>the</strong> gapbetween producers <strong>and</strong> users of research – for example,by organizing workshops that bring <strong>to</strong>ge<strong>the</strong>r policymakers<strong>and</strong> researchers;✜ harness <strong>the</strong> production of <strong>and</strong> increase <strong>the</strong> access <strong>to</strong>locally developed research, including operational research;✜ promote access <strong>to</strong> external research by creating networksof researchers <strong>and</strong> building libraries of best practices. ❏Manuel M Dayrit became <strong>the</strong> Direc<strong>to</strong>r of <strong>the</strong> Human Resources forHealth Department at WHO in August 2005. Following a Bachelor ofArts at <strong>the</strong> Ateneo de Manila University, Manuel M Dayrit earned hisDoc<strong>to</strong>r of Medicine degree from <strong>the</strong> University of <strong>the</strong> Philippines in1976 <strong>and</strong> a Master of Science in Community Health from <strong>the</strong>London School of Hygiene <strong>and</strong> Tropical Medicine. He spent most ofhis professional career in <strong>the</strong> Philippines, beginning as a communityphysician in <strong>the</strong> villages of Mindanao, Sou<strong>the</strong>rn Philippines,eventually rising <strong>to</strong> serve as <strong>the</strong> country’s Secretary of Health (HealthMinister) from February 2001 until May 2005.Mario Rober<strong>to</strong> Dal Poz is now Coordina<strong>to</strong>r of Tools, Evidence <strong>and</strong>Policy within <strong>the</strong> Department of Human Resources for Health, WorldHealth Organization (WHO). He trained as a medical doc<strong>to</strong>r in <strong>the</strong>University of <strong>the</strong> State of Rio de Janeiro, Brazil (1973), MarioRober<strong>to</strong> Dal Poz <strong>and</strong> also holds a Degree of Medical Specialist inPediatrics <strong>and</strong> a Masters in Social Medicine from <strong>the</strong> sameuniversity. With a PhD in Public Health from Oswaldo CruzFoundation, Brazil (1996), he is Associate Professor of <strong>the</strong> SocialMedicine Institute, University of <strong>the</strong> State of Rio de Janeiro, Brazil,<strong>and</strong> was its Deputy Direc<strong>to</strong>r from 1992 <strong>to</strong> 2000. Mario Rober<strong>to</strong> DalPoz joined <strong>the</strong> Department of Human Resources for Health at WHOin 2000.Hugo Mercer is now Acting Coordina<strong>to</strong>r for PerformanceImprovement <strong>and</strong> Education, department of Human Resources forHealth World Health Organization, (WHO). A sociologist, withpostgraduate studies in Sociology at El Colegio de Mexico(1982–84), Evaluation at <strong>the</strong> Evaluation Center, Western MichiganUniversity (1996), <strong>and</strong> University of Buenos Aires (PhD abt), HugoMercer is full professor of Sociology of Health at <strong>the</strong> School ofSocial Sciences, University of Buenos Aires. He has worked forWHO <strong>and</strong> o<strong>the</strong>r international organizations as a consultant in <strong>the</strong>area of Human Resources, in different Latin American countries.He joined <strong>the</strong> Human Resources for Health Department at WHO in2002 <strong>and</strong> is Deputy Edi<strong>to</strong>r of Human Resources for Health, anonline journal, (since 2006).Carmen Dolea currently works in <strong>the</strong> Direc<strong>to</strong>r’s Office, humanresources for <strong>health</strong> department, WHO as Medical Officer. Followinggraduation as a medical doc<strong>to</strong>r at <strong>the</strong> University of Medicine <strong>and</strong>Pharmacy in Bucharest in 1994, Carmen Dolea trained as a familyphysician <strong>and</strong> public <strong>health</strong>/<strong>health</strong> services management specialist.She <strong>the</strong>n completed her Master’s degree in Public Health <strong>and</strong>Management of Health Services at <strong>the</strong> same University. CarmenDolea joined <strong>the</strong> Human Resources for Health team in August 2002.References1.Report on WHO workshop on formulating a global research agenda forhuman resources for <strong>health</strong>. Cape Town, 6–8 September 2004. WorldHealth Organization, Geneva, Switzerl<strong>and</strong>, 2004.2.World Health Report 2006: working <strong>to</strong>ge<strong>the</strong>r for <strong>health</strong>. World HealthOrganization, Geneva, 2006.3.Report of <strong>the</strong> Task Force on Health Systems Research. World HealthOrganization, Geneva, 2005. (available at:http://www.who.int/rpc/summit/Task_Force_on_HSR_2.pdf, accessed on12 February 2006).4.Cochrane Database of systematic reviews. (available at:http://www.mrw.interscience.wiley.com/cochrane/cochrane_clsysrev_articles_fs.html, accessed on 12 February 2006).5.Human resources for <strong>health</strong>: overcoming <strong>the</strong> crisis. Cambridge,Massachusetts, USA, Joint Learning Initiative, 2004.6.Zurn P, Dolea C, Stilwell B. Nurse retention <strong>and</strong> recruitment: developinga motivated workforce. International Council of Nurses, Geneva, 2005[http://www.icn.ch/global/Issue4Retention.pdf].7.Hasselhorn H-S, Müller BS, Tackenberg P, eds. Sustaining working abilityin <strong>the</strong> nursing profession – investigation of premature departure fromwork. Nurses Early Exit Study – NEXT. NEXT Scientific Report.Wuppertal, University of Wuppertal, July 2005.8.Awases M et al. Migration of <strong>health</strong> professionals in six countries: asyn<strong>the</strong>sis report. World Health Organization Regional Office for Africa,Brazzaville, 2003.9.Stilwell B et al. Developing evidence-based ethical policies on <strong>the</strong>migration of <strong>health</strong> workers: conceptual <strong>and</strong> practical challenges. HumanResources for Health, 2003, 1:8.10.Zurn P et al. Imbalance in <strong>the</strong> <strong>health</strong> workforce. Human Resources forHealth, 2004, 2:13.11.Ferrinho P et al. Dual practice in <strong>the</strong> <strong>health</strong> sec<strong>to</strong>r: review of <strong>the</strong>evidence. Human Resources for Health, 2004, 2:14.12.Hongoro C, McPake B. How <strong>to</strong> bridge <strong>the</strong> gap in human resources for<strong>health</strong>. The Lancet, 2004; 364:1451–1456.13.Black N. Health care workforce: how research can help. Edi<strong>to</strong>rial. Journalof Health Services Research & Policy, 2004, 9 (Suppl. 1):1-2.14.Alliance for Health Policy <strong>and</strong> Systems Research. Evidence fromsystematic reviews of effects <strong>to</strong> inform policy making about optimizing <strong>the</strong>supply, improving <strong>the</strong> distribution, increasing <strong>the</strong> efficiency <strong>and</strong> enhancing<strong>the</strong> performance of <strong>health</strong> workers. A policy brief prepared for <strong>the</strong>International Dialogue on Evidence-informed Action <strong>to</strong> Achieve Healthgoals in developing countries (IDEAHealth). Khon Kaen, Thail<strong>and</strong>, 13-16December 2006(http://www.who.int/rpc/meetings/idea<strong>health</strong>/en/index6.html, accessed on18 July 2007).15.Africa HRH Observa<strong>to</strong>ry: concept <strong>and</strong> implementation strategy. Draft 7.(http://www.afro.who.int/hrh-observa<strong>to</strong>ry/index.html, accessed 18 July2007).162 ✜ Global Forum Update on Research for Health Volume 4
Decision-makingInequities in <strong>health</strong> status:findings from <strong>the</strong> 2001 GlobalBurden of Disease studyArticle by Alan Lopez (pictured) <strong>and</strong> Colin Ma<strong>the</strong>rsThe 1990 Global Burden of Disease (GBD) studydeveloped a comprehensive framework for integrating,validating, analyzing, <strong>and</strong> disseminating fragmentedinformation on <strong>the</strong> <strong>health</strong> of populations so that it is trulyuseful for <strong>health</strong> policy <strong>and</strong> planning 7 . Features of thisframework included <strong>the</strong> incorporation of data on nonfatal<strong>health</strong> outcomes in<strong>to</strong> summary <strong>measures</strong> of population<strong>health</strong> (described in <strong>the</strong> next subsection), <strong>the</strong> development ofmethods <strong>and</strong> approaches <strong>to</strong> estimate missing data <strong>and</strong> <strong>to</strong>assess <strong>the</strong> reliability of data, <strong>and</strong> <strong>the</strong> use of a common metric<strong>to</strong> summarize <strong>the</strong> disease burden both from diagnosticcategories of <strong>the</strong> international classification of diseases (ICD)<strong>and</strong> <strong>the</strong> major risk fac<strong>to</strong>rs that cause those <strong>health</strong> outcomes.The basic philosophy guiding <strong>the</strong> burden of diseaseapproach is that almost all sources of <strong>health</strong> data are likely <strong>to</strong>have information content provided that <strong>the</strong>y are carefullyscreened for plausibility <strong>and</strong> completeness <strong>and</strong> that internallyconsistent estimates of <strong>the</strong> global descriptive epidemiology ofmajor conditions are possible with appropriate <strong>to</strong>ols,investiga<strong>to</strong>r commitment, <strong>and</strong> expert opinion. Thisphilosophy remains central <strong>to</strong> <strong>the</strong> GBD 2001 study, whichhas exp<strong>and</strong>ed <strong>the</strong> framework of <strong>the</strong> original GBD study <strong>to</strong>:✜ quantify <strong>the</strong> burden of premature mortality <strong>and</strong> disabilityby age, sex, <strong>and</strong> region for 135 major causes or groupsof causes;✜ develop internally consistent estimates of incidence,prevalence, duration, <strong>and</strong> case fatality rates for morethan 500 sequelae resulting from <strong>the</strong> foregoing causes;✜ analyze <strong>the</strong> contribution <strong>to</strong> this burden of majorphysiological, behavioural, <strong>and</strong> <strong>social</strong> risk fac<strong>to</strong>rs by age,sex, <strong>and</strong> region.Estimating mortality: methods <strong>and</strong> dataComplete death registration data cover only one third of <strong>the</strong>world’s population. Some information on ano<strong>the</strong>r third isavailable through <strong>the</strong> national sample registration systems<strong>and</strong> urban death registration systems of India <strong>and</strong> China. For<strong>the</strong> remaining one third of <strong>the</strong> world’s population, includingmost countries in sub-Saharan Africa, only partial informationis available from epidemiological studies, disease registers,<strong>and</strong> surveillance systems.To estimate <strong>the</strong> number of deaths by cause we drew on <strong>the</strong>following four broad sources of data:✜ Death registration systems. Complete or incompletedeath registration systems provide information aboutcauses of death for almost all high-income countries<strong>and</strong> for many countries in Europe (Eastern) <strong>and</strong> CentralAsia <strong>and</strong> in Latin America <strong>and</strong> <strong>the</strong> Caribbean. Somevital registration information is also available in allo<strong>the</strong>r regions.✜ Sample death registration systems. In China <strong>and</strong> India,sample registration systems for rural areas supplementurban death registration systems. Information systemsnow provide information on causes of death for severalo<strong>the</strong>r large countries for which information was notavailable at <strong>the</strong> time of <strong>the</strong> original GBD study.✜ Epidemiological assessments. Epidemiologists haveestimated deaths for specific causes, such as HIV/AIDS,malaria, <strong>and</strong> tuberculosis (TB), for most countries in <strong>the</strong>regions most affected. These estimates usually combineinformation from surveys on <strong>the</strong> incidence or prevalenceof <strong>the</strong> disease with data on case fatality rates.✜ Cause of death models. The cause of death models usedin <strong>the</strong> original GBD study 7 were substantially revised <strong>and</strong>enhanced for estimating deaths by broad cause group inregions with limited information on mortality. TheCodMod software developed for this study <strong>and</strong> describedlater drew on a data set of 1613 country-years ofobservation of cause of death distributions from 58countries between 1950 <strong>and</strong> 2001.For <strong>the</strong> GBD 2001 study, age- <strong>and</strong> sex-specific death rateswere calculated from <strong>the</strong> death <strong>and</strong> population data providedby countries, with adjustments made for completeness of <strong>the</strong>registration data where needed, <strong>and</strong> <strong>the</strong>n <strong>to</strong>tal deaths by age<strong>and</strong> sex were calculated for each country by applying <strong>the</strong>serates <strong>to</strong> <strong>the</strong> United Nations Population Division estimates ofde fac<strong>to</strong> populations for 2001.Four methods were used <strong>to</strong> construct life tables for eachcountry depending on <strong>the</strong> type of data available 2 :✜ Countries with death registration data for 2001. Suchdata were used directly <strong>to</strong> construct life tables for 56countries after adjusting for incomplete registration ifnecessary.✜ Countries with a time series of death registration data.Where <strong>the</strong> latest year of death registration data availableGlobal Forum Update on Research for Health Volume 4 ✜ 163