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dc.contributor.authorWalsh, David A
dc.date.accessioned2022-03-01T11:53:25Z
dc.date.available2022-03-01T11:53:25Z
dc.date.issued2012-10
dc.identifier.citationMoreton, B. J. et al. (2012) ‘Rasch analysis of the intermittent and constant osteoarthritis pain (ICOAP) scale’, Osteoarthritis and Cartilage, 20(10), pp. 1109–1115en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12904/15202
dc.description.abstractObjectives: The intermittent and constant osteoarthritis pain (ICOAP) questionnaire was developed to assess two forms of pain reported by people with osteoarthritis: intermittent and constant pain. Studies examining its measurement qualities have provided some support for its use as separate and total scales. However, it has not been previously evaluated using Rasch analysis. The current study examined the fit between data obtained from the ICOAP questionnaire and the Rasch model to determine whether it meets the requirements of interval-level measurement. Design: ICOAP responses from 175 participants with knee osteoarthritis were collected in a cross-sectional questionnaire study. Participants were recruited from hospital clinics and a group who had taken part in previous research. The questionnaires were completed at home and returned by pre-paid envelope and the data were analysed using RUMM2020. Results: Fit to the Rasch model was achieved for both the constant and intermittent subscales following removal of a small number of items. The Total scale initially resulted in substantial misfit to the model, but fit was improved by removing four items that misfit the model. However, several participants presented with high fit residuals, which is consistent with misfit. Conclusions: The results support the use of Constant and Intermittent subscales as unidimensional measures of pain. The Total scale can be adapted to improve fit to the Rasch model, but there are concerns over participant misfit.
dc.description.urihttps://www.oarsijournal.com/article/S1063-4584(12)00866-7/fulltexten_US
dc.publisherOsteoarthritis and Cartilageen_US
dc.subjectRasch analysisen_US
dc.subjectOsteoarthritisen_US
dc.subjectPainen_US
dc.subjectOutcome assessmenten_US
dc.titleRasch Analysis of the Intermittent and Constant Osteoarthritis Pain (ICOAP) Scaleen_US
dc.typeArticleen_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
rioxxterms.versionNAen_US
rioxxterms.versionofrecord10.1016/j.joca.2012.06.011en_US
rioxxterms.typeJournal Article/Reviewen_US
refterms.dateFOA2022-03-01T11:53:26Z
refterms.panelUnspecifieden_US
refterms.dateFirstOnline2012-07
html.description.abstractObjectives: The intermittent and constant osteoarthritis pain (ICOAP) questionnaire was developed to assess two forms of pain reported by people with osteoarthritis: intermittent and constant pain. Studies examining its measurement qualities have provided some support for its use as separate and total scales. However, it has not been previously evaluated using Rasch analysis. The current study examined the fit between data obtained from the ICOAP questionnaire and the Rasch model to determine whether it meets the requirements of interval-level measurement. Design: ICOAP responses from 175 participants with knee osteoarthritis were collected in a cross-sectional questionnaire study. Participants were recruited from hospital clinics and a group who had taken part in previous research. The questionnaires were completed at home and returned by pre-paid envelope and the data were analysed using RUMM2020. Results: Fit to the Rasch model was achieved for both the constant and intermittent subscales following removal of a small number of items. The Total scale initially resulted in substantial misfit to the model, but fit was improved by removing four items that misfit the model. However, several participants presented with high fit residuals, which is consistent with misfit. Conclusions: The results support the use of Constant and Intermittent subscales as unidimensional measures of pain. The Total scale can be adapted to improve fit to the Rasch model, but there are concerns over participant misfit.en_US
rioxxterms.funder.project94a427429a5bcfef7dd04c33360d80cden_US


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