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

Arianne Elissen; Ellen Nolte; Saba Hinrichs; Annalijn Conklin; John Adams; Benjamin Cadier; Karine Chevreul; Isabelle Durand-Zaleski; Antje Erler; Maria Flamm; Anne Frølich; Birgit Fullerton; Ramune Jacobsen; Cécile Knai; Zuleika Saz-Parkinson; Antonio Sarria-Santamera; Andreas Sönnichsen; Hubertus J.M. Vrijhoef; on behalf of the DISMEVAL consortium

doi:10.1177/2053435414541644

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

Arianne Elissen^*, Ellen Nolte, Saba Hinrichs, Annalijn Conklin, John Adams, Benjamin Cadier, Karine Chevreul, Isabelle Durand-Zaleski, Antje Erler, Maria Flamm, Anne Frølich, Birgit Fullerton, Ramune Jacobsen, Cécile Knai, Zuleika Saz-Parkinson, Antonio Sarria-Santamera, Andreas Sönnichsen, Hubertus J.M. Vrijhoef, on behalf of the DISMEVAL consortium

^*Corresponding author for this work

Section of Health Services Research

4 Citations (Scopus)

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.

Original language	English
Article number	A003
Journal	International Journal of Care Coordination
Volume	17
Issue number	1-2
Pages (from-to)	25-37
Number of pages	13
ISSN	2053-4345
DOIs	https://doi.org/10.1177/2053435414541644
Publication status	Published - Jun 2014

Keywords

Care pathways
Complex intervention
Health services research
Multidisciplinary teamwork
Organized care
Quality

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10.1177/2053435414541644

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Elissen, A., Nolte, E., Hinrichs, S., Conklin, A., Adams, J., Cadier, B., Chevreul, K., Durand-Zaleski, I., Erler, A., Flamm, M., Frølich, A., Fullerton, B., Jacobsen, R., Knai, C., Saz-Parkinson, Z., Sarria-Santamera, A., Sönnichsen, A., Vrijhoef, H. J. M., & on behalf of the DISMEVAL consortium (2014). Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project. International Journal of Care Coordination, 17(1-2), 25-37. Article A003. https://doi.org/10.1177/2053435414541644

Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project. / Elissen, Arianne; Nolte, Ellen; Hinrichs, Saba et al.
In: International Journal of Care Coordination, Vol. 17, No. 1-2, A003, 06.2014, p. 25-37.

Research output: Contribution to journal › Journal article › Research › peer-review

Elissen, A, Nolte, E, Hinrichs, S, Conklin, A, Adams, J, Cadier, B, Chevreul, K, Durand-Zaleski, I, Erler, A, Flamm, M, Frølich, A, Fullerton, B, Jacobsen, R, Knai, C, Saz-Parkinson, Z, Sarria-Santamera, A, Sönnichsen, A, Vrijhoef, HJM & on behalf of the DISMEVAL consortium 2014, 'Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project', International Journal of Care Coordination, vol. 17, no. 1-2, A003, pp. 25-37. https://doi.org/10.1177/2053435414541644

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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.",

keywords = "Care pathways, Complex intervention, Health services research, Multidisciplinary teamwork, Organized care, Quality",

author = "Arianne Elissen and Ellen Nolte and Saba Hinrichs and Annalijn Conklin and John Adams and Benjamin Cadier and Karine Chevreul and Isabelle Durand-Zaleski and Antje Erler and Maria Flamm and Anne Fr{\o}lich and Birgit Fullerton and Ramune Jacobsen and C{\'e}cile Knai and Zuleika Saz-Parkinson and Antonio Sarria-Santamera and Andreas S{\"o}nnichsen and Vrijhoef, {Hubertus J.M.} and {on behalf of the DISMEVAL consortium}",

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AU - Elissen, Arianne

AU - Nolte, Ellen

AU - Hinrichs, Saba

AU - Conklin, Annalijn

AU - Adams, John

AU - Cadier, Benjamin

AU - Chevreul, Karine

AU - Durand-Zaleski, Isabelle

AU - Erler, Antje

AU - Flamm, Maria

AU - Frølich, Anne

AU - Fullerton, Birgit

AU - Jacobsen, Ramune

AU - Knai, Cécile

AU - Saz-Parkinson, Zuleika

AU - Sarria-Santamera, Antonio

AU - Sönnichsen, Andreas

AU - Vrijhoef, Hubertus J.M.

AU - on behalf of the DISMEVAL consortium

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N2 - 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.

AB - 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.

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ER -

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

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Keywords

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