ReviewBMC health services research2018
Strengthening the evidence-base of integrated care for people with multi-morbidity in Europe using Multi-Criteria Decision Analysis (MCDA).
Review in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Economic evaluations of scaling up strategies of evidence-based health interventions: a systematic review.BMC health services research · 2025Pooled it
- Evaluating the Efficacy of Probiotics in IBS Treatment Using a Systematic Review of Clinical Trials and Multi-Criteria Decision Analysis.Nutrients · 2022Pooled it
- The patient at the centre: evidence from 17 European integrated care programmes for persons with complex needs.BMC health services research · 2020Pooled it
- Measures for the integration of health and social care services for long-term health conditions: a systematic review of reviews.BMC health services research · 2020Pooled it
- A Cardiovascular Care Pathway Supported by Remote Patient Management in Dutch Primary Care: Cost-Effectiveness, Budget Impact, and Workload Analysis.JMIR mHealth and uHealth · 2026Article
- The Contribution of Dostarlimab to First-Line Treatment of Advanced or Recurrent Endometrial Cancer in Spain: A Multi-Criteria Decision Analysis Approach.Journal of clinical medicine · 2026Article
- Mandating Emergency Management in Nursing Homes in the V4 Countries With the Support of the Public Administration-A Mapping Study.Nursing research and practice · 2025Review
- Value contribution of trifluridine/tipiracil with bevacizumab for the treatment of metastatic colorectal cancer in Catalonia using a multicriteria decision analysis.Journal of pharmaceutical policy and practice · 2025Article
- Medically assisted integrated rehabilitation program for people with opioid dependence: a quasi-experimental evaluation using multi-criteria decision analysis.BMC psychiatry · 2024Article
- Unravelling Elements of Value of Healthcare and Assessing their Importance Using Evidence from Two Discrete-Choice Experiments in England.PharmacoEconomics · 2024Article
- Investigating the use of actor-network theory in healthcare: a protocol for a systematic review.BMJ open · 2024Article
- Design of a multiple criteria decision analysis framework for prioritizing high-impact health technologies in a regional health service.International journal of technology assessment in health care · 2024Article
- Population-based integrated care funding values and guiding principles: An empirical qualitative study.Heliyon · 2024Article
- Article
- Lessons learnt while integrating services for children: qualitative interviews with professional stakeholders.BMC health services research · 2023Article
- Article
- Towards the elimination of chronic obstructive pulmonary disease: a Lancet Commission.Lancet (London, England) · 2022Review
- Prospective cohort study for assessment of integrated care with a triple aim approach: hospital at home as use case.BMC health services research · 2022Article
- Heterogeneity in preferences for outcomes of integrated care for persons with multiple chronic diseases: a latent class analysis of a discrete choice experiment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- What exists in academia on work stress in accounting professionals: a bibliometric analysis.Current psychology (New Brunswick, N.J.) · 2022Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvaluation of integrated care programmes for individuals with multi-morbidity requires a broader evaluation framework and a broader definition of added value than is common in cost-utility analysis. This is possible through the use of Multi-Criteria Decision Analysis (MCDA). METHODS AND
resultsThis 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. DISCUSSION: By discussing our solutions to the challenges involved in creating a uniform MCDA approach for the evaluation of different programmes, this paper provides guidance to future evaluations and stimulates debate on how to evaluate integrated care for multi-morbidity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.