Final Report Part III ECHIM Pilot Data Collection Analyses and Dissemination

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NB: The German data are the most recent but not as valid as for other German ECHI indicators due to the small sub- sample size. General remarks on the EHIS wave 1 and computation of this indicator: Likewise with other ambulatory health care providers, EHIS asks respondents to report visits that took place during the past four weeks, as using a relatively short time frame shall prevent recall biases. This may be satisfactory for Eurostat's purposes but must lead to over- or underestimations if figures are extrapolated to one year. ECHI uses this 12 months time frame, as well do the WHO and OECD in their reports. General comments to this indicator: The national health care systems differ widely. In some countries the patient is obliged to consult firstly a general practitioner's office ("gate keeper") before being referred to a medical specialist. In other countries (e.g. Cyprus) and particularly in private health schemes, the patient may be free to approach a specialist according to the individual ailment. It may also be influenced by out-of-pocket expenditures, medical specialists' density and duration of waiting times. Administratively deduced and register- based data on medical/surgical specialist utilisations are available from Belgium (no breakdowns by sex), Hungary, Latvia, and Finland (but lacks the survey data for comparison). Estonia and the Czech Republic delivered only data on totals (data not shown), the latter includes totals from year 0+. Breakdown/ Country (year) Percentage BE (2008) Percentage HU (2008) Percentage LV (2009) Total 1.97 5.32 1.23 Men nd 4.12 0.87 Women nd 6.39 1.55 Individuals aged 15-64 2.06 4.88 1.15 Individuals aged 65+ 3.28 7.22 1.70 Comparison has a tendency of providing lower figures when compared with the survey data (though with a difference of ± 1 year of reporting). The Belgium figures are slightly lower (maximum ~ 1 visit) than the survey 145
esults, while the Latvian figures are throughout about 50% lower than the survey data. On the opposite side, the Hungarian data for all strata are 10-20% above the survey results. After all, the Estonian totals aged 15+ shows a close match with 3.2 vs. 3.0 annual contacts. A chart of the OECD Health at a Glance Report (Chapter 4.1 "Consultations with Doctors") [2] has been included in the indicator data sheet #71 GP utilisation. The OECD defines that "consultations with doctors refer to the number of contacts with physicians (both generalists and specialists)", which hampers the direct comparison with the ECHI data. However, it might be reasonable to look at the ranking again when ECHI data on GP consultations are considered, too. Slovakia, Hungary, the Czech Republic and Germany head the rank list of annual consultations which matches fairly with the ECHI data. Countries like Belgium, Spain, Italy, Austria and Poland lay close to each other with around 7 annual visits, which is slightly above the OECD average of 6.5 visits. The Netherlands are below the OECD average with about 6 annual consultations, which comes close when combined with ECHI #71 GP utilisation. [1a+b] EHIS description http://circa.europa.eu/Public/irc/dsis/health/library?l=/methodologiessandsdatasc/healthsinterviewssurvey/ehis_wave_1/20 07-2008_methodology&vm=detailed&sb=Title and meta-data: http://epp.eurostat.ec.europa.eu/cache/ITY_SDDS/EN/hlth_ehis_esms.htm; last update 14 September 2011. [2] Health at a Glance 2011, OECD, ISBN 978-92-64-11153-0 (print) or ISBN 978-92-64-12610-7 (HTML), http://www.oecd.org/dataoecd/6/28/49105858.pdf , Chapter 4.1. “Consultations with doctors”, http://dx.doi.org/10.1787/888932524431 all source URLs lastly accessed on June 05 2012 146
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Joint Action for European Community
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1. New ECHI data: ECHIM Pilot Data
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DG Health & Consumers and DG EMPL n
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In addition to survey-derived indic
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So the entire quest was depending o
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epresentativeness through the sampl
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1.3.1. ECHI# 21 Diabetes ECHIM Indi
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Fig.1.3.1.2 Diabetes by educational
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Fig.1.3.1.3 Correlation between BMI
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This phenomenon might be explainabl
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B Table 1.3.2 Fig. 1.3.2.1 DATA PRE
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C DATA ANALYSIS Overall depression
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months. A glance at the ICD-10 cata
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1.3.3. ECHI# 24 Acute Myocardial In
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C DATA ANALYSIS A high percentage o
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Fig.1.3.3.2 Compatibility of submit
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Fig. 1.3.3.3 Differences in mortali
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The submitted stroke attack rates i
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Fig.1.3.4.3 Differences in mortalit
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1.3.5. ECHI# 26 Asthma ECHIM Indica
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Fig.1.3.5.2 Asthma by educational l
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For ECHI#26, it was not differentia
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[2] ERS European Lung White Book- S
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C DATA ANALYSIS Overall COPD preval
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Administratively deduced and/or reg
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1.3.7. ECHI# 29 A-1 Injuries: home,
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Fig. 1.3.7.2 Injuries at home, leis
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Compared to the EHIS, in Switzerlan
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1.3.8. ECHI# 29 A-2 Injuries: home,
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Fig. 1.3.8.2 Injuries at home, leis
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accidents in separate categories an
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C DATA ANALYSIS The 16-country aver
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1.3.10. ECHI# 30 A-2 Injuries: road
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Fig. 1.3.10.2 Road traffic injuries
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The EHIS questions on “road traff
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B Table 1.3.11 Fig. 1.3.11.1 DATA P
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The non-fatal injury statistic of t
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C DATA ANALYSIS In the adult popula
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1.3.13. ECHI# 43 Blood pressure ECH
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Fig. 1.3.13.2 Prevalence of high bl
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D REMARKS AND FURTHER INFORMATION A
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C DATA ANALYSIS The percentage of r
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population. Information on effectiv
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Page 100 and 101: C DATA ANALYSIS In the adult popula
Page 102 and 103: 1.3.16. ECHI# 50 Consumption of veg
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Page 110 and 111: C DATA ANALYSIS Overall influenza u
Page 112 and 113: for all people at high risk defined
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Page 120 and 121: General remark on the preferred dat
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Page 124 and 125: Fig. 1.3.20.2 Colon cancer screenin
Page 126 and 127: D REMARKS AND FURTHER INFORMATION A
Page 128 and 129: [3] Eurostat database, see (http://
Page 132 and 133: C DATA ANALYSIS In a cross-country
Page 134 and 135: Further data were delivered by Icel
Page 136 and 137: 1.3.22. ECHI# 72-1 Selected outpati
Page 138 and 139: Fig. 1.3.22.2 Mean number of self-r
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Page 154 and 155: D REMARKS AND FURTHER INFORMATION A
Page 156 and 157: [1a+b] EHIS description http://circ
Page 158 and 159: Possible solutions and appropriate
Page 160 and 161: Table 2.1 Data sources for the ECHI
Page 162 and 163: Table 2.1 (continued) Data sources
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Page 166 and 167: 2.1 Presentation of the ECHI shortl
Page 168 and 169: 2.2 Content of the HEIDI data tool
Page 170 and 171: 3. Lessons learned, Conclusions and
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Page 174 and 175: ECHI# 29 (A) 29 (B) 30 (A) 30 (B) 4
Page 176 and 177: Annex II EHIS data collection: Surv
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Page 182 and 183: Annex III Data tables of indicators
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1.3.17 Data Table ECHI#57 Influenza
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1.3.19 Data Table ECHI#59 Cervical
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1.3.21 Data Table ECHI#71 General p
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1.3.23 Data Table ECHI#72-2 Selecte
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Annex IV List of Abbreviations Abbr
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Final Report Part III ECHIM Pilot Data Collection Analyses and Dissemination

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