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Wellbeing as Outcome
in Economic Evaluations
Multiple wellbeing measures have been developed to be used in economic evaluations of curative and non-curative care. But are all these measures equal? Do they provide the same assessment of wellbeing? And do they perform equally in different populations, for example older or social care populations? The W-MIC study hopes to answer this question.
About the Project PublicationsLarge, Open-Access Datasets
The study collected data from over 7,000 participants living in the Netherlands and the United States. Participants included members from the general public, older adults, individuals with chronic health conditions and social care users, making it the largest dataset on health and wellbeing measures to date.
Number of Health and Wellbeing instruments
The survey included a large number of wellbeing instruments, including the ASCOT-STC4, EQ-HWB-9, ICECAP-A/O, QOL-ACC, SWB-5D, WiX, and WOOP, alongside demographic questions, disease-specific, generic health (e.g., EQ-5D-5L, PHQ-15) and wellbeing measures (e.g., SWLS).
Application in Clinical Settings
The project aimed to evaluate the fit-for-purpose of wellbeing instruments in clinical settings and conducted two case studies in people with cognitive impairments or undergoing physical rehabilitations.
Our large, open-access dataset is now publicly available on DANS! Check the resources page to access the dataset.
PhD researcher involved in the execution of the W-MIC project.
W-MIC principal investigator and Professor of Measurement and Valuation of Health.
W-MIC principal investigator and Full Professor of Health Economics.
W-MIC principal investigator and Senior Researcher at the EuroQol Research Foundation.