Calibrating well-being, quality of life and common mental disorder items: psychometric epidemiology in public mental health research.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 26635327.
- Also identified by DOI 10.1192/bjp.bp.115.165530 and PMC identifier 4967770.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The assessment of 'general health and well-being' in public mental health research stimulates debates around relative merits of questionnaire instruments and their items. Little evidence regarding alignment or differential advantages of instruments or items has appeared to date. Population-based psychometric study of items employed in public mental health narratives. Multidimensional item response theory was applied to General Health Questionnaire (GHQ-12), Warwick-Edinburgh Mental Well-being Scale (WEMWBS) and EQ-5D items (Health Survey for England, 2010-2012; n = 19 290). A bifactor model provided the best account of the data and showed that the GHQ-12 and WEMWBS items assess mainly the same construct. Only one item of the EQ-5D showed relevant overlap with this dimension (anxiety/depression). Findings were corroborated by comparisons with alternative models and cross-validation analyses. The consequences of this lack of differentiation (GHQ-12 v. WEMWBS) for mental health and well-being narratives deserves discussion to enrich debates on priorities in public mental health and its assessment.
Medical subject headings
- Epidemiologic Methods
- Health Services Research
- Mental Disorders
- Mental Health
- Personal Satisfaction
- Psychometrics
- Public Health
- Quality of Life