Strengthening the evidence-base of integrated care for people with multi-morbidity in Europe using Multi-Criteria Decision Analysis (MCDA)

Rutten-van Mölken, Maureen; Leijten, Fenna; Hoedemakers, Maaike; Tsiachristas, Apostolos; Verbeek, Nick; Karimi, Milad; Bal, Roland; de Bont, Antoinette; Islam, Kamrul; Askildsen, Jan Erik; Czypionka, ThomasORCID:; Kraus, MarkusORCID:; Huic, Mirjana; Pitter, János György; Vogt, Verena; Stokes, Jonathan and Baltaxe, Erik (2018) Strengthening the evidence-base of integrated care for people with multi-morbidity in Europe using Multi-Criteria Decision Analysis (MCDA). BMC Health Services Research, 18 (576).

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This paper presents the seven steps of an MCDA to evaluate 17 different integrated care programmes for individuals with multi-morbidity in 8 European countries participating in the 4-year, EU-funded SELFIE project. In step one, qualitative research was undertaken to better understand the decision-context of these programmes. The programmes faced decisions related to their sustainability in terms of reimbursement, continuation, extension, and/or wider implementation. In step two, a uniform set of decision criteria was defined in terms of outcomes measured across the 17 programmes: physical functioning, psychological well-being, social relationships and participation, enjoyment of life, resilience, person-centeredness, continuity of care, and total health and social care costs. These were supplemented by programme-type specific outcomes. Step three presents the quasi-experimental studies designed to measure the performance of the programmes on the decision criteria. Step four gives details of the methods (Discrete Choice Experiment, Swing Weighting) to determine the relative importance of the decision criteria among five stakeholder groups per country. An example in step five illustrates the value-based method of MCDA by which the performance of the programmes on each decision criterion is combined with the weight of the respective criterion to derive an overall value score. Step six describes how we deal with uncertainty and introduces the Conditional Multi-Attribute Acceptability Curve. Step seven addresses the interpretation of results in stakeholder workshops.

Item Type: Article in Academic Journal
Keywords: Integrated care, Multi-morbidity, Multi-criteria decision analysis, Economic evaluation, Triple aim, Outcomes, Cost
Research Units: Current Research Groups > Health Economics and Health Policy
Date Deposited: 13 Aug 2018 09:46
Last Modified: 18 Sep 2023 12:08
DOI: 10.1186/s12913-018-3367-4
ISSN: 1472-6963

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