Final Report Part III ECHIM Pilot Data Collection Analyses and Dissemination

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Fig.1.3.3.2 Compatibility of submitted AMI pilot data (age 35-74) with hospital discharge and mortality data available in international sources [Source: WHO/EURO] Correlation between submitted ECHI #24 AMI attack rates and hospital discharge + mortality rates from WHO/EURO databases 500 Submitted ECHIM AMI attack rate, per 100,000 400 300 200 UK PL LV 100 100 200 300 400 500 Discharge + Mortality rates, per 100,000 but from various years ( WHO/EURO) D REMARKS AND FURTHER INFORMATION As it was a pilot data collection, not all national Joint Action for ECHIM partners were able to devote adequate efforts, resources and time for accessing primary data sources and developing and testing new data processing procedures in order to calculate required indicators. Further international joint efforts and support for EU countries are needed to establish more permanent structures and procedures for indicator calculation in order to improve the availability of internationally comparable data for this and other administrative data-based ECHI indicators. 29
The experience of the ECHIM pilot collection suggests that the international comparability of this indicator could be further improved by providing countries with more detailed definitions and technical specifications for a standard indicator calculation. The revision of the current ECHI#24 indicator definition, at least in the following two aspects, could also be recommended: 1) The inclusion of all IHD codes (I20-I25) in the mortality component causes large overestimation of AMI rates, particularly in countries where mortality from chronic IHD is high, i.e. LV, LT, EE, HU, CZ, etc. (see Figure 1.3.3.3). There are studies showing that a significant part of these cases of chronic IHD is actually misclassified as other causes of death, e.g. accidental alcohol poisonings [2]. Limiting the mortality component to only AMI codes (I21, I22) would improve the international comparability and would conceptually be more correct. 2) A single hospital discharge record with diagnosis I21, I22 does not always correspond to a separate AMI case and this depends on hospitalization practices at national level. The possibility of linking hospitalization episodes at the subject level and the variation of how a single AMI attack is defined in the case of multiple hospital discharges is another source of distortion, limiting international comparability. This could be avoided by counting AMI patients instead of AMI attacks, i.e. counting persons who have had at least one hospital discharge with diagnosis I21, I22 during the year. It is likely that most countries use some kind of internal patient identification in their hospital discharge databases allowing the linking of hospital discharge records for the same patient. Such internal linking should be less problematic to do than cross-registry linking, i.e. between hospital discharge and mortality databases. 30
Page 2 and 3: Joint Action for European Community
Page 4 and 5: 1. New ECHI data: ECHIM Pilot Data
Page 6 and 7: DG Health & Consumers and DG EMPL n
Page 8 and 9: In addition to survey-derived indic
Page 10 and 11: So the entire quest was depending o
Page 12 and 13: epresentativeness through the sampl
Page 14 and 15: 1.3.1. ECHI# 21 Diabetes ECHIM Indi
Page 16 and 17: Fig.1.3.1.2 Diabetes by educational
Page 18 and 19: Fig.1.3.1.3 Correlation between BMI
Page 20 and 21: This phenomenon might be explainabl
Page 22 and 23: B Table 1.3.2 Fig. 1.3.2.1 DATA PRE
Page 24 and 25: C DATA ANALYSIS Overall depression
Page 26 and 27: months. A glance at the ICD-10 cata
Page 28 and 29: 1.3.3. ECHI# 24 Acute Myocardial In
Page 30 and 31: C DATA ANALYSIS A high percentage o
Page 34 and 35: Fig. 1.3.3.3 Differences in mortali
Page 38 and 39: The submitted stroke attack rates i
Page 40 and 41: Fig.1.3.4.3 Differences in mortalit
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Page 44 and 45: Fig.1.3.5.2 Asthma by educational l
Page 46 and 47: For ECHI#26, it was not differentia
Page 48 and 49: [2] ERS European Lung White Book- S
Page 52 and 53: C DATA ANALYSIS Overall COPD preval
Page 54 and 55: Administratively deduced and/or reg
Page 56 and 57: 1.3.7. ECHI# 29 A-1 Injuries: home,
Page 58 and 59: Fig. 1.3.7.2 Injuries at home, leis
Page 60 and 61: Compared to the EHIS, in Switzerlan
Page 62 and 63: 1.3.8. ECHI# 29 A-2 Injuries: home,
Page 64 and 65: Fig. 1.3.8.2 Injuries at home, leis
Page 66 and 67: accidents in separate categories an
Page 70 and 71: C DATA ANALYSIS The 16-country aver
Page 72 and 73: 1.3.10. ECHI# 30 A-2 Injuries: road
Page 74 and 75: Fig. 1.3.10.2 Road traffic injuries
Page 76 and 77: The EHIS questions on “road traff
Page 78 and 79: B Table 1.3.11 Fig. 1.3.11.1 DATA P
Page 80 and 81: The non-fatal injury statistic of t
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B Table 1.3.12 Fig. 1.3.12.1 DATA P
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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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C DATA ANALYSIS In the adult popula
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1.3.16. ECHI# 50 Consumption of veg
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Fig. 1.3.16.2 Daily consumption of
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The Irish data were extracted from
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C DATA ANALYSIS Overall influenza u
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for all people at high risk defined
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The lower figures reported from eas
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General remark on the preferred dat
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1.3.20. ECHI Indicator Data Sheet #
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Fig. 1.3.20.2 Colon cancer screenin
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[3] Eurostat database, see (http://
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C DATA ANALYSIS In a cross-country
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Further data were delivered by Icel
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1.3.22. ECHI# 72-1 Selected outpati
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Fig. 1.3.22.2 Mean number of self-r
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NB: The data from Finland originate
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Fig. 1.3.22.3 Administratively dedu
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Fig. 1.3.23.2 Mean number of self-r
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NB: The German data are the most re
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Fig. 1.3.24.2 Proportion of populat
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[1a+b] EHIS description http://circ
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Possible solutions and appropriate
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Table 2.1 Data sources for the ECHI
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Table 2.1 (continued) Data sources
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Table 2.1. (continued) Data sources
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2.1 Presentation of the ECHI shortl
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2.2 Content of the HEIDI data tool
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3. Lessons learned, Conclusions and
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4. Acknowledgement This work was en
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ECHI# 29 (A) 29 (B) 30 (A) 30 (B) 4
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Annex II EHIS data collection: Surv
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177
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Annex III Data tables of indicators
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1.3.3 Data Table ECHI#24 Acute myoc
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1.3.5 Data Table ECHI#26 Asthma "Pr
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1.3.7 Data Table ECHI#29 (A) -1 Inj
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1.3.9 Data Table ECHI#30 (A)-1 Inju
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1.3.11 Data Table ECHI#30 (B) Injur
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1.3.13 Data Table ECHI#43 Blood Pre
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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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