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Development of a self-report measure of capability wellbeing for adults: the ICECAP-A
Open accessAbstract
PURPOSE: The benefits of health and social care are not confined to patient health alone and therefore broader measures of wellbeing may be useful for economic evaluation. This paper reports the development of a simple measure of capability wellbeing for adults (ICECAP-A). METHODS: In-depth, informant-led, interviews to identify the attributes of capability wellbeing were conducted with 36 adults in the UK. Eighteen semi-structured, repeat interviews were carried out to develop a capability-based descriptive system for the measure. Informants were purposively selected to ensure variation in socio-economic status, age, sex, ethnicity and health. Data analysis was carried out inductively and iteratively alongside interviews, and findings were used to shape the questions in later interviews. RESULTS: Five over-arching attributes of capability wellbeing were identified for the measure: "stability", "attachment", "achievement", "autonomy" and "enjoyment". One item, with four response categories, was developed for each attribute for the ICECAP-A descriptive system. CONCLUSIONS: The ICECAP-A capability measure represents a departure from traditional health economics outcome measures, by treating health status as an influence over broader attributes of capability wellbeing. Further work is required to value and validate the attributes and test the sensitivity of the ICECAP-A to healthcare interventions.
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Metadata
- Authors
- Al-Janabi, H., N Flynn, T., & Coast, J.
- Affiliations
- University of Birmingham (GB)
- ORCID
- Coast, Joanna
- Venue
- Quality of Life Research
- Published
- 2011-05-20
- Volume
- 21
- Issue
- 1
- Pages
- 167-176
- ISSN
- 0962-9343 (ISSN-L)
- 1573-2649
- PMC
- PMC3254872
- OpenAlex
- W2011644590
- Cited by
- 666
- References
- 43
- Citations by year
- 2026: 34 · 2025: 75 · 2024: 70 · 2023: 54 · 2022: 76 · 2021: 83 · 2020: 58 · 2019: 46 · 2018: 33 · 2017: 35 · 2016: 32 · 2015: 27 · 2014: 18 · 2013: 13 · 2012: 7
- FWCI
- 34.76
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Quality of Life Research (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- University of Birmingham Institutional Research Archive (University of Birmingham) (acceptedVersion)
- UniSA Research Outputs Repository (University of South Australia) (acceptedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- UTS ePRESS (University of Technology Sydney) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- London School of Economics and Political Science
- Medical Research Council (G0701027)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Environmental Valuation
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Keywords
- ICECAP-A, self-report measure development, capability approach, economic evaluation, stability, attachment, achievement, autonomy, enjoyment, health status
- MeSH terms
- Adolescent, Adult, Aged, Female, Humans, Interviews as Topic, Male, Middle Aged, Personal Satisfaction, Quality of Life, Young Adult, Self Report
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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