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Assessing the effect of a regional integrated care model over ten years using quality indicators based on claims data - the basic statistical methodology of the INTEGRAL project.
Stelzer, Dominikus; Graf, Erika; Köster, Ingrid; Ihle, Peter; Günster, Christian; Dröge, Patrik; Klöss, Andreas; Mehl, Claudia; Farin-Glattacker, Erik; Geraedts, Max; Schubert, Ingrid; Siegel, Achim; Vach, Werner.
Affiliation
  • Stelzer D; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany. stelzer@imbi.uni-freiburg.de.
  • Graf E; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Köster I; PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany.
  • Ihle P; PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany.
  • Günster C; Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany.
  • Dröge P; Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany.
  • Klöss A; Health Services and Quality Research, Research Institute of the Local Health Care Funds (WIdO), Berlin, Germany.
  • Mehl C; Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany.
  • Farin-Glattacker E; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Geraedts M; Institute for Health Services Research and Clinical Epidemiology, University of Marburg, Marburg, Germany.
  • Schubert I; PMV research group at the Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Cologne, Köln, Germany.
  • Siegel A; Institute of Occupational and Social Medicine and Health Services Research, University Hospital Tübingen, Tübingen, Germany.
  • Vach W; Basel Academy for Quality and Research in Medicine, Basel, Switzerland.
BMC Health Serv Res ; 22(1): 247, 2022 Feb 24.
Article in En | MEDLINE | ID: mdl-35197048
BACKGROUND: The regional integrated health care model "Healthy Kinzigtal" started in 2006 with the goal of optimizing health care and economic efficiency. The INTEGRAL project aimed at evaluating the effect of this model on the quality of care over the first 10 years. METHODS: This methodological protocol supplements the study protocol and the main publication of the project. Comparing quality indicators based on claims data between the intervention region and 13 structurally similar control regions constitutes the basic scientific approach. Methodological key issues in performing such a comparison are identified and solutions are presented. RESULTS: A key step in the analysis is the assessment of a potential trend in prevalence for a single quality indicator over time in the intervention region compared to the corresponding trends in the control regions. This step has to take into account that there may be a common - not necessarily linear - trend in the indicator over time and that trends can also appear by chance. Conceptual and statistical approaches were developed to handle this key step and to assess in addition the overall evidence for an intervention effect across all indicators. The methodology can be extended in several directions of interest. CONCLUSIONS: We believe that our approach can handle the major statistical challenges: population differences are addressed by standardization; we offer transparency with respect to the derivation of the key figures; global time trends and structural changes do not invalidate the analyses; the regional variation in time trends is taken into account. Overall, the project demanded substantial efforts to ensure adequateness, validity and transparency.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Delivery of Health Care, Integrated / Quality Indicators, Health Care Type of study: Risk_factors_studies Limits: Humans Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2022 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Delivery of Health Care, Integrated / Quality Indicators, Health Care Type of study: Risk_factors_studies Limits: Humans Language: En Journal: BMC Health Serv Res Journal subject: PESQUISA EM SERVICOS DE SAUDE Year: 2022 Type: Article Affiliation country: Germany