Skip to main content
Top
Published in: BMC Health Services Research 1/2017

Open Access 01-12-2017 | Research article

Selective enrollment in Disease Management Programs for coronary heart disease in Germany – An analysis based on cross-sectional survey and administrative claims data

Authors: Julia Röttger, Miriam Blümel, Reinhard Busse

Published in: BMC Health Services Research | Issue 1/2017

Login to get access

Abstract

Background

In 2002, Disease Management Programs (DMPs) were introduced within the German healthcare system with the aim to increase the quality of chronic disease care. Due to the enrollment procedures, it can be assumed a) that only certain patients actively decide to enroll in a DMP and/or b) that only certain patients get the recommendation for DMP enrollment from their physician. How strong this assumed effect of self- and/or professional selection is, is still unclear.

Methods

We used data from a cross-sectional postal-survey linked on individual level with administrative claims data from a German sickness fund. The sample consisted of individuals suffering from coronary heart disease (CHD) who i) were either enrolled in the respective DMP or ii) fulfilled the disease related criteria for enrollment but were not enrolled. We applied multivariate logistic regression analyses to assess factors on patient level associated with DMP enrollment.

Results

We included 7070 individuals in our analyses. Male sex, higher age and receiving old age pension, a higher Charlson Score and a diagnosis of type 2 diabetes increased the odds for DMP-CHD enrollment significantly. Individuals with a diagnosed myocardial infarction (MI) were also more likely to be enrolled in the DMP-CHD. We found a significant interaction effect for MI and sex, indicating that the association between MI and DMP enrollment is stronger for women than for men.

Conclusion

DMP-enrollees and non-enrollees differ in various factors. Studies analyzing the effectiveness of DMP-CHD should carefully take into account these group differences. Furthermore, the results suggest that the DMP-CHD assessed reaches men better than women.
Footnotes
1
We did not differentiate between adults and children under 14 years of age (as it is done in the modified OECD scale [31]), as the survey only included a question regarding the number of children under 18 years of age. But due to the high mean age of the sample, we assume a very small number of under 14 year old children in our sample.
 
2
We excluded the diseases MI, CHF and DM2 from the calculation of the Charlson Score.
 
Literature
1.
go back to reference Busse R. Disease management programs in Germany’s statutory health insurance system. Health Aff. 2004;23(3):56–67.CrossRef Busse R. Disease management programs in Germany’s statutory health insurance system. Health Aff. 2004;23(3):56–67.CrossRef
3.
go back to reference Bundesgesetzblatt Jahrgang 2009 Teil I Nr. 35, Zwanzigste Verordnung zur Änderung der Risikostruktur-Ausgleichsverordnung, [Twentieth regulation on alteration of the risk structure compensation ordinance]; Bonn, (20. RSA-ÄndV) 23. Juni 2009: 1542–69. Bundesgesetzblatt Jahrgang 2009 Teil I Nr. 35, Zwanzigste Verordnung zur Änderung der Risikostruktur-Ausgleichsverordnung, [Twentieth regulation on alteration of the risk structure compensation ordinance]; Bonn, (20. RSA-ÄndV) 23. Juni 2009: 1542–69.
5.
go back to reference Drabik A, Sawicki PT, Muller D, Passon A, Stock S. The methods within the evaluation of disease management programmes in control-group designs using the example of diabetes mellitus - a systematic literature review. Gesundheitswesen. 2012;74:496–501. doi:10.1055/s-0031-1301273.CrossRefPubMed Drabik A, Sawicki PT, Muller D, Passon A, Stock S. The methods within the evaluation of disease management programmes in control-group designs using the example of diabetes mellitus - a systematic literature review. Gesundheitswesen. 2012;74:496–501. doi:10.​1055/​s-0031-1301273.CrossRefPubMed
7.
go back to reference Drabik A, Büscher G, Thomas K, Graf C, Müller D, Stock S. Patients with type 2 diabetes benefit from primary care-based disease management: a propensity score matched survival time analysis. Popul Health Manag. 2012;15:241–7. doi:10.1089/pop.2011.0063.CrossRefPubMed Drabik A, Büscher G, Thomas K, Graf C, Müller D, Stock S. Patients with type 2 diabetes benefit from primary care-based disease management: a propensity score matched survival time analysis. Popul Health Manag. 2012;15:241–7. doi:10.​1089/​pop.​2011.​0063.CrossRefPubMed
9.
go back to reference Nolting HD, Gottberg A, Schiffhorst G, Buhr S, Engel J. Einfluss der Teilnahme am DMP Diabetes mellitus Typ 2 auf die Entwicklung der Leistungsausgaben‐Ergebnisse einer retrospektiven kontrollierten Studie auf der Basis von GKV-Routinedaten. [Impact of a Disease Management Program for Diabetes on Health Care Costs – Results from a Retrospective Cohort Study with Matched Controls using Claims Data]. Gesundheitsökonomie Qualitätsmanagement. 2011;16:209–15. doi:10.1055/s-0029-1245920.CrossRef Nolting HD, Gottberg A, Schiffhorst G, Buhr S, Engel J. Einfluss der Teilnahme am DMP Diabetes mellitus Typ 2 auf die Entwicklung der Leistungsausgaben‐Ergebnisse einer retrospektiven kontrollierten Studie auf der Basis von GKV-Routinedaten. [Impact of a Disease Management Program for Diabetes on Health Care Costs – Results from a Retrospective Cohort Study with Matched Controls using Claims Data]. Gesundheitsökonomie Qualitätsmanagement. 2011;16:209–15. doi:10.​1055/​s-0029-1245920.CrossRef
10.
go back to reference Schulte T, Mund M, Hofmann L, Pimperl A, Dittmann B, Hildebrandt H. Pilotstudie zur Evaluation des DMP Koronare Herzkrankheit – Entwicklung einer Methodik und erste Ergebnisse [A pilot survey to evaluate the DMP for coronary heart disease – Development of a methodology and first results]. Z Evid Fortbild Qual Gesundheitswes. 2016;110–111:54–9. doi:10.1016/j.zefq.2015.11.003.CrossRef Schulte T, Mund M, Hofmann L, Pimperl A, Dittmann B, Hildebrandt H. Pilotstudie zur Evaluation des DMP Koronare Herzkrankheit – Entwicklung einer Methodik und erste Ergebnisse [A pilot survey to evaluate the DMP for coronary heart disease – Development of a methodology and first results]. Z Evid Fortbild Qual Gesundheitswes. 2016;110–111:54–9. doi:10.​1016/​j.​zefq.​2015.​11.​003.CrossRef
12.
go back to reference Bozorgmehr K, Maier W, Brenner H, Saum KU, Stock C, Miksch A et al. Social disparities in Disease Management Programmes for coronary heart disease in Germany: a cross-classified multilevel analysis. J Epidemiol Community Health. 2015. Online first. doi: 10.1136/jech-2014-204506. Bozorgmehr K, Maier W, Brenner H, Saum KU, Stock C, Miksch A et al. Social disparities in Disease Management Programmes for coronary heart disease in Germany: a cross-classified multilevel analysis. J Epidemiol Community Health. 2015. Online first. doi: 10.​1136/​jech-2014-204506.
13.
go back to reference Hunger M, Schwarzkopf L, Heier M, Peters A, Holle R, KORA Study Group. Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population. BMC Health Serv Res. 2013;13:1. doi:10.1186/1472-6963-13-1.CrossRefPubMedPubMedCentral Hunger M, Schwarzkopf L, Heier M, Peters A, Holle R, KORA Study Group. Official statistics and claims data records indicate non-response and recall bias within survey-based estimates of health care utilization in the older population. BMC Health Serv Res. 2013;13:1. doi:10.​1186/​1472-6963-13-1.CrossRefPubMedPubMedCentral
14.
go back to reference Berthold HK, Bestehorn KP, Jannowitz C, Krone W, Gouni-Berthold I. Disease management programs in type 2 diabetes: quality of care. Am J Manag Care. 2011;17:393–403.PubMed Berthold HK, Bestehorn KP, Jannowitz C, Krone W, Gouni-Berthold I. Disease management programs in type 2 diabetes: quality of care. Am J Manag Care. 2011;17:393–403.PubMed
15.
go back to reference Dunkelberg S, Zingel D, Noack A, van den Bussche H, Kaduszkiewicz H. Welche Patienten werden (nicht) in das DMP Diabetes eingeschlossen? [Which Patients are (not) Included in the DMP Diabetes Programme?]. Gesundheitswesen. 2006;68:289–93. doi:10.1055/s-2006-926768.CrossRefPubMed Dunkelberg S, Zingel D, Noack A, van den Bussche H, Kaduszkiewicz H. Welche Patienten werden (nicht) in das DMP Diabetes eingeschlossen? [Which Patients are (not) Included in the DMP Diabetes Programme?]. Gesundheitswesen. 2006;68:289–93. doi:10.​1055/​s-2006-926768.CrossRefPubMed
16.
go back to reference Flamm M, Panisch S, Winkler H, Sönnichsen AC. Impact of a randomized control group on perceived effectiveness of a Disease Management Programme for diabetes type 2. Eur J Pub Health. 2012;22:625–9. doi:10.1093/eurpub/ckr147.CrossRef Flamm M, Panisch S, Winkler H, Sönnichsen AC. Impact of a randomized control group on perceived effectiveness of a Disease Management Programme for diabetes type 2. Eur J Pub Health. 2012;22:625–9. doi:10.​1093/​eurpub/​ckr147.CrossRef
19.
go back to reference Röttger J, Blümel M, Engel S, Grenz-Farenholtz B, Fuchs S, Linder R, et al. Exploring health system responsiveness in ambulatory care and disease management and its relation to other dimensions of health system performance (RAC) – study design and methodology. Int J Health Policy Manag. 2015;7:431–7. doi:10.15171/ijhpm.2015.97.CrossRef Röttger J, Blümel M, Engel S, Grenz-Farenholtz B, Fuchs S, Linder R, et al. Exploring health system responsiveness in ambulatory care and disease management and its relation to other dimensions of health system performance (RAC) – study design and methodology. Int J Health Policy Manag. 2015;7:431–7. doi:10.​15171/​ijhpm.​2015.​97.CrossRef
20.
go back to reference Busse R, Blümel M. Germany: health system review. Health Syst Transit. 2014;16(2):1–296.PubMed Busse R, Blümel M. Germany: health system review. Health Syst Transit. 2014;16(2):1–296.PubMed
22.
go back to reference German Federal (Social) Insurance Authority (2012): Anlage 1 zu den Festlegungen nach § 31 Abs. 4 RSAV vom 28.09.2012 ICD-spezifische Gültigkeitskriterien zur Gruppierung von ICD-Kodes in Dx- (DXG) und (hierarchisierte) Morbiditätsgruppen ((H)MG) für das Ausgleichsjahr 2013 [Annex 1 to the requirements according to § 31 Abs. 4 RSAV from 28.09.2012 ICD specific criteria for the categorization of ICD-Codes in Dx (DXG) and (hiearchical) morbidity groups ((H)MG) for the year 2013], http://www.bundesversicherungsamt.de/risikostrukturausgleich/festlegungen.html#c144. Accessed 27 Jul 2015. German Federal (Social) Insurance Authority (2012): Anlage 1 zu den Festlegungen nach § 31 Abs. 4 RSAV vom 28.09.2012 ICD-spezifische Gültigkeitskriterien zur Gruppierung von ICD-Kodes in Dx- (DXG) und (hierarchisierte) Morbiditätsgruppen ((H)MG) für das Ausgleichsjahr 2013 [Annex 1 to the requirements according to § 31 Abs. 4 RSAV from 28.09.2012 ICD specific criteria for the categorization of ICD-Codes in Dx (DXG) and (hiearchical) morbidity groups ((H)MG) for the year 2013], http://​www.​bundesversicheru​ngsamt.​de/​risikostrukturau​sgleich/​festlegungen.​html#c144. Accessed 27 Jul 2015.
23.
go back to reference Kuhlmann E. Gender Mainstreaming in den Disease Management-Programmen – das Beispiel Koronare Herzerkrankung. [Gender mainstreaming in disease management programs – the example of coronary heart disease] Expertise im Auftrag der Bundeskoordination Frauengesundheit/des Arbeitskreises Frauengesundheit, Bremen: Zentrum für Sozialpolitik, Universität Bremen; 2003. Kuhlmann E. Gender Mainstreaming in den Disease Management-Programmen – das Beispiel Koronare Herzerkrankung. [Gender mainstreaming in disease management programs – the example of coronary heart disease] Expertise im Auftrag der Bundeskoordination Frauengesundheit/des Arbeitskreises Frauengesundheit, Bremen: Zentrum für Sozialpolitik, Universität Bremen; 2003.
24.
go back to reference Mittag O. Genderspezifische Aspekte in der Sekundärprävention der koronaren Herzerkrankung. [Gender specific aspects of secondary prevention in coronary heart disease]. Clin Res Cardiol Suppl. 2013;8:52–6. doi:10.1007/s11789-013-0053-2.CrossRef Mittag O. Genderspezifische Aspekte in der Sekundärprävention der koronaren Herzerkrankung. [Gender specific aspects of secondary prevention in coronary heart disease]. Clin Res Cardiol Suppl. 2013;8:52–6. doi:10.​1007/​s11789-013-0053-2.CrossRef
25.
go back to reference Finch WH. Imputation methods for missing categorical questionnaire data: a comparison of approaches. J Data Sci. 2010;8:361–78. Finch WH. Imputation methods for missing categorical questionnaire data: a comparison of approaches. J Data Sci. 2010;8:361–78.
27.
go back to reference König HH, Bernert S, Angermeyer MC. Gesundheitszustand der deutschen Bevölkerung: Ergebnisse einer repräsentativen Befragung mit dem EuroQol-Instrument. [Health Status of the German Population: Results of a Representative Survey Using the EuroQol Questionnaire]. Gesundheitswesen. 2005;67:173–82. doi:10.1055/s-2005-857991.CrossRefPubMed König HH, Bernert S, Angermeyer MC. Gesundheitszustand der deutschen Bevölkerung: Ergebnisse einer repräsentativen Befragung mit dem EuroQol-Instrument. [Health Status of the German Population: Results of a Representative Survey Using the EuroQol Questionnaire]. Gesundheitswesen. 2005;67:173–82. doi:10.​1055/​s-2005-857991.CrossRefPubMed
28.
go back to reference Babitsch B, Bormann C, Gohl D, Ciupitu-Plath CC. Gender and Utilization of Health Care. In: Janssen C, Swart E, von Lengerke T (eds). Health Care Utilization in Germany - Theory, Methodology, and Results. New York: Springer. 2014. Babitsch B, Bormann C, Gohl D, Ciupitu-Plath CC. Gender and Utilization of Health Care. In: Janssen C, Swart E, von Lengerke T (eds). Health Care Utilization in Germany - Theory, Methodology, and Results. New York: Springer. 2014.
29.
30.
go back to reference Hoffmann F, Icks A. Unterschiede in der Versichertenstruktur von Krankenkassen und deren Auswirkungen für die Versorgungsforschung: Ergebnisse des Bertelsmann-Gesundheitsmonitors. [Structural Differences between Health Insurance Funds and their Impact on Health Services Research: Results from the Bertelsmann Health-Care Monitor]. Gesundheitswesen. 2011;74:291–7. doi:10.1055/s-0031-1275711.CrossRefPubMed Hoffmann F, Icks A. Unterschiede in der Versichertenstruktur von Krankenkassen und deren Auswirkungen für die Versorgungsforschung: Ergebnisse des Bertelsmann-Gesundheitsmonitors. [Structural Differences between Health Insurance Funds and their Impact on Health Services Research: Results from the Bertelsmann Health-Care Monitor]. Gesundheitswesen. 2011;74:291–7. doi:10.​1055/​s-0031-1275711.CrossRefPubMed
Metadata
Title
Selective enrollment in Disease Management Programs for coronary heart disease in Germany – An analysis based on cross-sectional survey and administrative claims data
Authors
Julia Röttger
Miriam Blümel
Reinhard Busse
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2017
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-017-2162-y

Other articles of this Issue 1/2017

BMC Health Services Research 1/2017 Go to the issue