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

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 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 languageEnglish
Article numberA003
Pages (from-to)25-37
Number of pages13
JournalInternational Journal of Care Coordination
Volume17
Issue number1-2
DOIs
Publication statusPublished - Jun 2014
Externally publishedYes

Keywords

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

Fingerprint

Dive into the research topics of 'Evaluating chronic disease management in real-world settings in six European countries: Lessons from the collaborative DISMEVAL project'. Together they form a unique fingerprint.

Cite this