Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project

Author:

Elissen Arianne1,Nolte Ellen2,Hinrichs Saba2,Conklin Annalijn23,Adams John4,Cadier Benjamin5,Chevreul Karine56,Durand-Zaleski Isabelle56,Erler Antje7,Flamm Maria8,Frølich Anne9,Fullerton Birgit7,Jacobsen Ramune10,Knai Cécile11,Saz-Parkinson Zuleika12,Sarria-Santamera Antonio12,Sönnichsen Andreas13,Vrijhoef Hubertus J.M.14

Affiliation:

1. 1Department of Health Services Research, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands

2. Health and Healthcare Research Programme, RAND Europe, Cambridge, UK

3. MRC Epidemiology Unit, University of Cambridge, Cambridge, UK

4. Department of Research and Evaluation, Kaiser Permanente Center for Effectiveness and Safety Research, Pasadena, CA, USA

5. URC Eco Ile-de-France, Université Paris Est Créteil, Paris, France

6. AP-HP Recherche Clinique Santé Publique, Hôpital Henri Mondor, Créteil, France

7. Institute of General Practice, Johann Wolfgang Goethe-University, Frankfurt, Germany

8. Department for Evidence-based Medicine and Clinical Epidemiology, Danube University Krems, Krems, Austria

9. Department of Health Services Research, Institute of Public Health, University of Copenhagen, Copenhagen, Denmark

10. Institute of Preventive Medicine, Frederiksberg Hospital, Frederiksberg, Denmark

11. Faculty of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK

12. Agencia de Evaluación de Tecnologías Sanitarias, Instituto de Salud Carlos III, Madrid, Spain

13. Institute of General and Family Medicine, Witten/Herdecke University, Witten, Germany

14. Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore

Abstract

Objective To describe the interventions, research methods and main findings of the international DISMEVAL project, in which the “real-world” impact of exemplary European disease management approaches was investigated in six countries using advanced analytic techniques. Design Across countries, the project captured a wide range of disease management strategies and settings; approaches to evaluation varied per country, but included, among others, difference-in-differences analysis and regression discontinuity analysis. Setting Austria, Denmark, France, Germany, The Netherlands, and Spain. Participants Health care providers and/or statutory insurance funds providing routine data from their disease management interventions, mostly retrospectively. Intervention(s) This study did not carry out an intervention but evaluated the impact of existing disease management interventions implemented in European care settings. Main outcome measure(s) Outcome measures were largely dependent on available routine data, but could concern health care structures, processes, and outcomes. Results Data covering 10 to 36 months were gathered concerning more than 154,000 patients with three conditions. The analyses demonstrated considerable positive effects of disease management on process quality (Austria, Germany), but no more than moderate improvements in intermediate health outcomes (Austria, France, Netherlands, Spain) or disease progression (Denmark) in intervention patients, where possible compared with a matched control group. Conclusions Assessing the “real-world” impact of chronic disease management remains a challenge. In settings where randomization is not possible and/or desirable, routine health care performance data can provide a valuable resource for practice-based evaluations using advanced analytic techniques.

Publisher

SAGE Publications

Subject

Health Policy,Leadership and Management

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