Development and preliminary evaluation of the OsteoArthritis Questionnaire (OA-Quest): a psychometric study

Summary Objective This study reports the development of the OsteoArthritis Questionnaire (OA-Quest) – a new measure designed to comprehensively capture the potentially modifiable burden of osteoarthritis. Design Item development was guided by the a priori conceptual framework of the Personal Burden...

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Veröffentlicht in:Osteoarthritis and cartilage 2016-08, Vol.24 (8), p.1357-1366
Hauptverfasser: Busija, L, Buchbinder, R, Osborne, R.H
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Sprache:eng
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Zusammenfassung:Summary Objective This study reports the development of the OsteoArthritis Questionnaire (OA-Quest) – a new measure designed to comprehensively capture the potentially modifiable burden of osteoarthritis. Design Item development was guided by the a priori conceptual framework of the Personal Burden of Osteoarthritis (PBO) which captures 8 dimensions of osteoarthritis burden (Physical distress, Fatigue, Physical limitations, Psychosocial distress, Physical de-conditioning, Financial hardship, Sleep disturbances, Lost productivity). One hundred and twenty three candidate items were pretested in a clinical sample of 18 osteoarthritis patients. The measurement properties of the OA-Quest were assessed with exploratory factor analysis (EFA), Rasch modelling, and confirmatory factor analysis (CFA) in a community-based sample ( n  = 792). Results EFA replicated 7 of the 8 PBO domains. An exception was PBO Fatigue domain, with items merging into the Physical distress subscale in the OA-Quest. Following item analysis, a 42-item 7-subscale questionnaire was constructed, measuring Physical distress (seven items, Cronbach's α  = 0.93), Physical limitations (11 items, α  = 0.95), Psychosocial distress (seven items, α  = 0.93), Physical de-conditioning (four items, α  = 0.87), Financial hardship (four items, α  = 0.93), Sleep disturbances (five items, α  = 0.96), and Lost productivity (four items α  = 0.90). A highly restricted 7-factor CFA model had excellent fit with the data (χ2 (113) = 316.36, P  
ISSN:1063-4584
1522-9653
DOI:10.1016/j.joca.2016.03.014