logging in or signing up JOUGLA PraguesDer funnyside Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 57 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 15, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript European study on causes of death quality and comparability : European study on causes of death quality and comparability Automating coding systems for mortality data June 3-5, 2004 – Prague, Czech Republic E Jougla, G Pavillon INSERM – CépiDc - France Epidemiological Center on Medical Causes of DeathSlide2: Summary 1. European Union data on causes of death statistics 2. Investigations on data quality and comparability 3. Differences due to the coding processSlide3: 1. European Union data on causes of death statistics SummarySlide4: * numbers by 5 years age group * raw death rate and standardised death rate (total & 0-64 yrs) Dissemination at national and regional level (Eurostat – New Cronos) Causes of death dataSlide10: ”AVOIDABLE MORTALITY“ (Males <65 yrs 1994-1996) Slide12: FOR FRANCE, PRIMARY PREVENTION AS A PRIORITY IN HEALTH PROGRAMS Slide13: BUT NECESSITY TO ASSESS THE INTERNATIONAL COMPARABILITY AND QUALITY OF THE DATA Slide14: 2. Investigations on data quality and comparability SummarySlide15: Eurostat Task Force on Causes of Death Statistics (TF/COD) since 1997Slide18: Recommendations - General causes of death certification - Coverage - Confidentiality - Query practices - Training practicesSlide20: SummarySlide21: Specific international coding studies * Set of death certificates from different countries * Certificates coded by national offices and by a WHO reference centreSlide22: Specific international coding studies Investigation rare - First study (1965 – 6 countries - 1000 certificates) - cancer (1978, 1986) - diabetes (1989)Slide23: International coding studies - Cancer (1978,1986) * Random set of 1243 US death certificates mentioning cancer * Nine countries coded the 1243 death certificates Percy et al. Am J Epidemiol 1989, 129 : 934-946.Slide24: International coding studies - Cancer (1986) Differences in the underlying cause of death with US coders at the 3-digit level Differences % W Germany 16 France 15 USSR 15 Netherlands 12 England 10 Brazil 9 New Zealand 8 Canada 6 PercySlide25: Country International coding studies - Cancer (1986) France 96 3 1 England 92 6 3 W Germany 92 6 3 New Zealand 91 8 8 Brazil 91 6 2 Netherlands 91 6 3 USSR 90 8 2 Canada 89 7 4 Circulatory diseases (%) Other diseases (%) Cancer (%) Underlying cause coded (certificates mentioning cancer) United States 88 7 5Slide26: Country International coding studies - Cancer (1986) England 151 145 -4% Netherlands 146 142 -3% France 140 128 -9% New Zealand 140 137 -2% W Germany 137 131 -4% Canada 134 133 -1% Percy Corrected rates Variation Published rates Comparison of published death rates with “corrected” ratesSlide27: International coding studies - Diabetes (1989) * Random set of 200 death certificates mentioning diabetes from 9 EC countries * The 1800 certificates recoded by a WHO reference centre Jougla et al. Int J Epidem 1992, 21:343-351.Slide28: Possibility to apply the ICD General Rule (%) International coding studies - Diabetes (1989) Country > 4 conditions reported (%) 96 N Ireland 14 92 Scotland 10 86 Netherlands 28 84 Rep Ireland 18 64 France 32 60 W Germany 54 52 Switzerland 36 36 Belgium 8 Slide29: Country Belgium 68 72 0.9 France 43 37 0.9 Rep. Ireland 41 34 0.8 Netherlands 35 22 0.6 Switzerland 28 30 1.1 Scotland 24 22 0.9 W Germany 24 30 1.2 N Ireland 7 18 2.5 Jougla Reference coding (b) (%) Ratio (b/a) National Coding (a) (%) Proportion of certificates with diabetes coded as the underlying cause International coding studies - Diabetes (1989)Slide30: Country Diabetes mortality rates per 100 000 (1989) Netherlands 26 31 Switzerland 21 21 Rep Ireland 20 17 Belgium 17 24 W Germany 16 17 France 12 12 Jougla Male Scotland 11 9 N Ireland 5 3 FemaleSlide31: * Impact of use of different ICD revisions Bridge coding “ICD9 / ICD 10”Slide32: ICD 9 - ICD 10 ICD 10 DateSlide33: Objective To document the changes Example ”Bridge Coding - France“ - ICD9 + Manual coding - ICD 10 + Automatic coding (Styx) * Comparison based on the short 65 Eurostat list (compatible ICD9 - ICD10) Methods * Sample of 53 000 deaths in 1999 (1 out 10)Slide34: Bridge coding - ICD9 / ICD10 by chapters Sample 1/10 – 1999 - FranceSlide35: Bridge coding - ICD9 / ICD10 by chapters Sample 1/10 – 1999 - FranceSlide36: Cancer – Death rates - France 1990-1999 (ICD9) - 2000 (ICD10)Slide37: Pneumonia - Death rates - France 1990-1999 (ICD9) - 2000 (ICD10)Slide38: * To improve between-country comparability of coding Automating Coding Systems * To document changes (coding, ICD revision or updates)Slide39: Automatic coding systems in EUSlide40: ACS Eurostat reports (Pavillon, Johansson et al.)Slide41: IMPROVEMENT OF THE INTERNATIONAL COMPARABILITY AND QUALITY OF THE CERTIFICATION PROCESSEuropean study on causes of death quality and comparability : European study on causes of death quality and comparability Automating coding systems for mortality data June 3-5, 2004 – Prague, Czech Republic E Jougla, G Pavillon INSERM – CépiDc - France Epidemiological Center on Medical Causes of DeathSlide43: Differences France / UK (Males <65 yrs – 1999) You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
JOUGLA PraguesDer funnyside Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 57 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 15, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript European study on causes of death quality and comparability : European study on causes of death quality and comparability Automating coding systems for mortality data June 3-5, 2004 – Prague, Czech Republic E Jougla, G Pavillon INSERM – CépiDc - France Epidemiological Center on Medical Causes of DeathSlide2: Summary 1. European Union data on causes of death statistics 2. Investigations on data quality and comparability 3. Differences due to the coding processSlide3: 1. European Union data on causes of death statistics SummarySlide4: * numbers by 5 years age group * raw death rate and standardised death rate (total & 0-64 yrs) Dissemination at national and regional level (Eurostat – New Cronos) Causes of death dataSlide10: ”AVOIDABLE MORTALITY“ (Males <65 yrs 1994-1996) Slide12: FOR FRANCE, PRIMARY PREVENTION AS A PRIORITY IN HEALTH PROGRAMS Slide13: BUT NECESSITY TO ASSESS THE INTERNATIONAL COMPARABILITY AND QUALITY OF THE DATA Slide14: 2. Investigations on data quality and comparability SummarySlide15: Eurostat Task Force on Causes of Death Statistics (TF/COD) since 1997Slide18: Recommendations - General causes of death certification - Coverage - Confidentiality - Query practices - Training practicesSlide20: SummarySlide21: Specific international coding studies * Set of death certificates from different countries * Certificates coded by national offices and by a WHO reference centreSlide22: Specific international coding studies Investigation rare - First study (1965 – 6 countries - 1000 certificates) - cancer (1978, 1986) - diabetes (1989)Slide23: International coding studies - Cancer (1978,1986) * Random set of 1243 US death certificates mentioning cancer * Nine countries coded the 1243 death certificates Percy et al. Am J Epidemiol 1989, 129 : 934-946.Slide24: International coding studies - Cancer (1986) Differences in the underlying cause of death with US coders at the 3-digit level Differences % W Germany 16 France 15 USSR 15 Netherlands 12 England 10 Brazil 9 New Zealand 8 Canada 6 PercySlide25: Country International coding studies - Cancer (1986) France 96 3 1 England 92 6 3 W Germany 92 6 3 New Zealand 91 8 8 Brazil 91 6 2 Netherlands 91 6 3 USSR 90 8 2 Canada 89 7 4 Circulatory diseases (%) Other diseases (%) Cancer (%) Underlying cause coded (certificates mentioning cancer) United States 88 7 5Slide26: Country International coding studies - Cancer (1986) England 151 145 -4% Netherlands 146 142 -3% France 140 128 -9% New Zealand 140 137 -2% W Germany 137 131 -4% Canada 134 133 -1% Percy Corrected rates Variation Published rates Comparison of published death rates with “corrected” ratesSlide27: International coding studies - Diabetes (1989) * Random set of 200 death certificates mentioning diabetes from 9 EC countries * The 1800 certificates recoded by a WHO reference centre Jougla et al. Int J Epidem 1992, 21:343-351.Slide28: Possibility to apply the ICD General Rule (%) International coding studies - Diabetes (1989) Country > 4 conditions reported (%) 96 N Ireland 14 92 Scotland 10 86 Netherlands 28 84 Rep Ireland 18 64 France 32 60 W Germany 54 52 Switzerland 36 36 Belgium 8 Slide29: Country Belgium 68 72 0.9 France 43 37 0.9 Rep. Ireland 41 34 0.8 Netherlands 35 22 0.6 Switzerland 28 30 1.1 Scotland 24 22 0.9 W Germany 24 30 1.2 N Ireland 7 18 2.5 Jougla Reference coding (b) (%) Ratio (b/a) National Coding (a) (%) Proportion of certificates with diabetes coded as the underlying cause International coding studies - Diabetes (1989)Slide30: Country Diabetes mortality rates per 100 000 (1989) Netherlands 26 31 Switzerland 21 21 Rep Ireland 20 17 Belgium 17 24 W Germany 16 17 France 12 12 Jougla Male Scotland 11 9 N Ireland 5 3 FemaleSlide31: * Impact of use of different ICD revisions Bridge coding “ICD9 / ICD 10”Slide32: ICD 9 - ICD 10 ICD 10 DateSlide33: Objective To document the changes Example ”Bridge Coding - France“ - ICD9 + Manual coding - ICD 10 + Automatic coding (Styx) * Comparison based on the short 65 Eurostat list (compatible ICD9 - ICD10) Methods * Sample of 53 000 deaths in 1999 (1 out 10)Slide34: Bridge coding - ICD9 / ICD10 by chapters Sample 1/10 – 1999 - FranceSlide35: Bridge coding - ICD9 / ICD10 by chapters Sample 1/10 – 1999 - FranceSlide36: Cancer – Death rates - France 1990-1999 (ICD9) - 2000 (ICD10)Slide37: Pneumonia - Death rates - France 1990-1999 (ICD9) - 2000 (ICD10)Slide38: * To improve between-country comparability of coding Automating Coding Systems * To document changes (coding, ICD revision or updates)Slide39: Automatic coding systems in EUSlide40: ACS Eurostat reports (Pavillon, Johansson et al.)Slide41: IMPROVEMENT OF THE INTERNATIONAL COMPARABILITY AND QUALITY OF THE CERTIFICATION PROCESSEuropean study on causes of death quality and comparability : European study on causes of death quality and comparability Automating coding systems for mortality data June 3-5, 2004 – Prague, Czech Republic E Jougla, G Pavillon INSERM – CépiDc - France Epidemiological Center on Medical Causes of DeathSlide43: Differences France / UK (Males <65 yrs – 1999)