Final Report Part III ECHIM Pilot Data Collection Analyses and Dissemination

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Fig. 1.3.23.2 Mean number of self-reported visits to med./surgical specialist per person and year; by educational level Medical and/or surgical specialists utilisation per capita and year (self reported) 8 7 totals edu low totals edu medium totals edu high 6 mean number of visits 5 4 3 2 1 0 BE (2008)* BG (2008)* CZ (2008)* DE (2010) § EE (2006)* GR (2009)* ES (2009)* IT (2005) CY (2008)* LV (2008)* country (year) HU (2009)* MT (2008)* AT (2006) NL (2008) PL (2009)* RO (2008)* SI (2007)* SK (2009)* Legend: * = data extracted from Eurostat calculations of June 2011; § = subsample: N = 3100 and age 18+ 143
C DATA ANALYSIS In a cross-country comparison, Romania and Malta reported the lowest mean numbers of annual visits for all breakdowns, which are 1.5 visits or less (see Figure 1.3.23.1). Averaged numbers of visits in 18 countries are 3.4 for totals, 2.7 for men and 4 for women. The age band 15-64 years has 3 visits on average while the number for the elderly rises to 5 annual consultations. The lead in annual contacts with medical and/or surgical specialists is taken by Slovakia, the Czech Republic and Cyprus with more than 5 visits for totals aged 15+ per year. Slovakia also shows a peak of 10.4 annual visits for elderly which is more than twice of the mean consultations in that stratum. Cyprus is a special case since it does not have a primary healthcare system (lowest figures by far for the ECHI#71 GP utilisation) and thus spearheads in specialists' consultations. Two general trends can be observed from the Pilot Study. Firstly, women throughout show higher medical and/or surgical specialist contact rates than men (4 vs. 2.7), and secondly, persons aged 65+ have the largest number of annual consultations. The only exception is reported from the Czech Republic where women (totals) slightly overtop the elderly, but since woman are also included in the 65+ stratum, this is of no significance. The higher consultation rates by women might be attributable to the recommended annual check-up with a gynaecologist, and particularly in the course of pregnancy. Overall, it is the same gender trend as observed with other ambulatory service utilisations. The fact that elderly have more consultations (except with dentists) is undisputed and reflects the data for general practitioner utilisation. D An analysis of data according to the three educational levels shows no clear general trend (see Figure 1.3.23.2). Though the range can vary by the magnitude of factor 10 for lower educated individuals (Romania vs. Cyprus), the mean figures are quite close to each other for low, medium and high educational levels with 3.6, 3.3 and 3.5 consultations per capita and annum. REMARKS AND FURTHER INFORMATION All countries marked with an asterisk (*) participated in the first EHIS wave and their data were obtained from Eurostat calculations. Remaining countries delivered their data as contribution to the ECHIM Pilot Collection. More relevant and meta-information about the EHIS wave 1 can be found here [1a+b]. 144
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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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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
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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
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Page 152 and 153: Fig. 1.3.24.2 Proportion of populat
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
Page 184 and 185: 1.3.3 Data Table ECHI#24 Acute myoc
Page 186 and 187: 1.3.5 Data Table ECHI#26 Asthma "Pr
Page 188 and 189: 1.3.7 Data Table ECHI#29 (A) -1 Inj
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1.3.15 Data Table ECHI#49 Consumpti
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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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