BACKGROUND: Euro 1.1 billion were spent in 2009 for disease management programs (DMPs) in Germany, among them the DMP for type 2 diabetes mellitus (T2DM). Earlier studies of DMPs failed to take sufficient account of patient- and physician-related selection effects. We used innovative methods to study the medical benefit of the DMP for T2DM among insurees of the Techniker Krankenkasse, a German health insurance provider. METHODS: For this study, we analyzed claims data of the Techniker Krankenkasse from 2006 to 2008. We developed and implemented a sophisticated control group design based on propensity score interval matching. We considered a large number of variables in the baseline assessment, including socio-economic parameters, comorbidities, levels of nursing care, drug expenses, and hospital expenses. RESULTS: The DMP participants did not differ from the control group with respect to the incidence of relevant comorbidities. They underwent emergency hospitalization somewhat less frequently than the control group and also generated lower costs for inpatient treatment. In every three-month period studied, the DMP participants received more prescriptions, had more contacts with physicians in private practice, and submitted higher claims for health insurance benefits than the control group. CONCLUSION: The current DMP for T2DM in Germany is not adequately effective. This study does not reveal any clear medical benefit from DMP participation. Selection effects were largely eliminated by means of a sophisticated control group design. Analyses of other DMPs with this method are currently being planned.
BACKGROUND:Euro 1.1 billion were spent in 2009 for disease management programs (DMPs) in Germany, among them the DMP for type 2 diabetes mellitus (T2DM). Earlier studies of DMPs failed to take sufficient account of patient- and physician-related selection effects. We used innovative methods to study the medical benefit of the DMP for T2DM among insurees of the Techniker Krankenkasse, a German health insurance provider. METHODS: For this study, we analyzed claims data of the Techniker Krankenkasse from 2006 to 2008. We developed and implemented a sophisticated control group design based on propensity score interval matching. We considered a large number of variables in the baseline assessment, including socio-economic parameters, comorbidities, levels of nursing care, drug expenses, and hospital expenses. RESULTS: The DMPparticipants did not differ from the control group with respect to the incidence of relevant comorbidities. They underwent emergency hospitalization somewhat less frequently than the control group and also generated lower costs for inpatient treatment. In every three-month period studied, the DMPparticipants received more prescriptions, had more contacts with physicians in private practice, and submitted higher claims for health insurance benefits than the control group. CONCLUSION: The current DMP for T2DM in Germany is not adequately effective. This study does not reveal any clear medical benefit from DMP participation. Selection effects were largely eliminated by means of a sophisticated control group design. Analyses of other DMPs with this method are currently being planned.
Authors: Ingmar Schäfer; Claudia Küver; Benjamin Gedrose; Falk Hoffmann; Barbara Russ-Thiel; Hans-Peter Brose; Hendrik van den Bussche; Hanna Kaduszkiewicz Journal: BMC Health Serv Res Date: 2010-03-03 Impact factor: 2.655
Authors: Roland Linder; Susanne Ahrens; Frank Verheyen; Dagmar Köppel; Thomas Heilmann Journal: Dtsch Arztebl Int Date: 2011-10-21 Impact factor: 5.594