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Predicting the ICECAP-O Capability Index from the WOMAC Osteoarthritis Index

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  • Paul M. Mitchell
  • Tracy E. Roberts
  • Pelham M. Barton
  • Beth S. Pollard
  • Joanna Coast

Abstract

Background . There is a growing interest in the application of the capability approach in health economic analysis. The aim of the research reported here is to assess the feasibility of mapping from a condition-specific questionnaire (Western Ontario and McMaster Universities [WOMAC] Osteoarthritis Index) to a capability well-being questionnaire (ICEpop CAPability measure for Older people [ICECAP-O]). Methods . One hundred five osteoarthritis patients requiring joint replacement completed the 5 attributes on the ICECAP-O (attachment, security, role, enjoyment, and control) and the 3 WOMAC categories (pain, stiffness, and physical function). The prediction data set consisted of baseline scores, whereas follow-up data were used to validate the predictions. The mapping algorithms used ordinary least squares and multinomial logistic regression models to predict the relationship between WOMAC scores, categories, or items and ICECAP-O scores or the 5 ICECAP-O attributes. Results . ICECAP-O scores predicted from WOMAC category scores produced the lowest mapping error statistics (mean absolute error = 0.0832; mean squared error = 0.0142) as well as highest goodness of fit (R 2 = 0.3976). Prediction of ICECAP-O attributes from WOMAC category scores was possible for the majority of capability dimensions. The “control†attribute and physical function WOMAC category exhibited the strongest relationship (R 2 = 0.2143). The “attachment†attribute proved difficult to predict from any WOMAC category, which is in line with intuition given this attribute captures psychological well-being rather than pain, stiffness, or physical function. Conclusion . This is the first study to investigate the predictive ability of a condition-specific measure of health onto capability. The results presented here suggest it is feasible to map from condition-specific measures to an overall capability index, although WOMAC cannot predict individual capability in its entirety. Although the results here are encouraging for those interested in using ICECAP-O, given the small validation sample size applied, further research will be required to verify these findings.

Suggested Citation

  • Paul M. Mitchell & Tracy E. Roberts & Pelham M. Barton & Beth S. Pollard & Joanna Coast, 2013. "Predicting the ICECAP-O Capability Index from the WOMAC Osteoarthritis Index," Medical Decision Making, , vol. 33(4), pages 547-557, May.
    • Handle: RePEc:sae:medema:v:33:y:2013:i:4:p:547-557
    DOI: 10.1177/0272989X12475092
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    References listed on IDEAS

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    1. Grewal, Ini & Lewis, Jane & Flynn, Terry & Brown, Jackie & Bond, John & Coast, Joanna, 2006. "Developing attributes for a generic quality of life measure for older people: Preferences or capabilities?," Social Science & Medicine, Elsevier, vol. 62(8), pages 1891-1901, April.
    2. Joanna Coast & Richard Smith & Paula Lorgelly, 2008. "Should the capability approach be applied in Health Economics?," Health Economics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-670, June.
    3. Coast, Joanna & Flynn, Terry N. & Natarajan, Lucy & Sproston, Kerry & Lewis, Jane & Louviere, Jordan J. & Peters, Tim J., 2008. "Valuing the ICECAP capability index for older people," Social Science & Medicine, Elsevier, vol. 67(5), pages 874-882, September.
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    1. Paul Mark Mitchell & Tracy E. Roberts & Pelham M. Barton & Joanna Coast, 2017. "Applications of the Capability Approach in the Health Field: A Literature Review," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 345-371, August.
    2. Myles-Jay Linton & Paul Mark Mitchell & Hareth Al-Janabi & Michael Schlander & Jeff Richardson & Angelo Iezzi & Jasper Ubels & Joanna Coast, 2020. "Comparing the German Translation of the ICECAP-A Capability Wellbeing Measure to the Original English Version: Psychometric Properties across Healthy Samples and Seven Health Condition Groups," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(3), pages 651-673, July.
    3. Mitchell, Paul Mark & Roberts, Tracy E. & Barton, Pelham M. & Coast, Joanna, 2015. "Assessing sufficient capability: A new approach to economic evaluation," Social Science & Medicine, Elsevier, vol. 139(C), pages 71-79.
    4. Makai, Peter & Brouwer, Werner B.F. & Koopmanschap, Marc A. & Stolk, Elly A. & Nieboer, Anna P., 2014. "Quality of life instruments for economic evaluations in health and social care for older people: A systematic review," Social Science & Medicine, Elsevier, vol. 102(C), pages 83-93.
    5. Peter Makai & Willemijn Looman & Eddy Adang & René Melis & Elly Stolk & Isabelle Fabbricotti, 2015. "Cost-effectiveness of integrated care in frail elderly using the ICECAP-O and EQ-5D: does choice of instrument matter?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(4), pages 437-450, May.

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