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Use of a Disease-Specific Instrument in Economic Evaluations: Mapping WOMAC onto the EQ-5D Utility Index.(Report)

Xie, Feng ; Pullenayegum, Eleanor M. ; Li, Shu - Chuen ; Hopkins, Robert ; Thumboo, Julian ; Lo, Ngai - Nung

Value in Health, Dec, 2010, Vol.13(8), p.873(6) [Periódico revisado por pares]

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  • Título:
    Use of a Disease-Specific Instrument in Economic Evaluations: Mapping WOMAC onto the EQ-5D Utility Index.(Report)
  • Autor: Xie, Feng ; Pullenayegum, Eleanor M. ; Li, Shu - Chuen ; Hopkins, Robert ; Thumboo, Julian ; Lo, Ngai - Nung
  • Assuntos: Electric Utilities -- Health Aspects ; Electric Utilities -- Analysis ; Universities And Colleges -- Health Aspects ; Universities And Colleges -- Analysis
  • É parte de: Value in Health, Dec, 2010, Vol.13(8), p.873(6)
  • Descrição: To authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1524-4733.2010.00770.x Byline: Feng Xie (1,2), Eleanor M. Pullenayegum (2,3), Shu-Chuen Li (4), Robert Hopkins (1,2), Julian Thumboo (5), Ngai-Nung Lo (6) Keywords: EQ-5D; health utility; mapping; osteoarthritis; WOMAC Abstract: ABSTRACT Objective: To map the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) onto the EuroQol 5 Dimension (EQ-5D) utility index in patients with knee osteoarthritis (OA). Methods: A consecutive sample of patients (n = 258) diagnosed with knee OA completed both the WOMAC and the EQ-5D. Regression models with the ordinary least squares (OLS) or the censored least absolute deviations as the estimator were used to establish the mapping function. The WOMAC was represented as explanatory variables in four ways: 1) total score; 2) domain scores (i.e., pain, stiffness, and physical function); 3) domain scores plus pair-wise interaction terms to account for possible nonlinearities; and 4) individual item scores. Goodness-of-fit criteria included the mean absolute error (the primary criterion) and the root mean squared error, and were obtained using an iterative random sampling procedure. Prediction precision was evaluated at individual patient level and at the group level. Results: The model using the OLS estimator and the WOMAC domain scores as explanatory variables had the best fit and was chosen as the preferred mapping model. The prediction error at the individual level exceeded the maximal tolerance value (i.e., the minimally important difference of the EQ-5D) in about 16% of the patients. At the group level, the width of the 95% confidence interval of prediction errors varied from 0.0176 at a sample size of 400 to 0.0359 at a sample size of 100. Conclusions: EQ-5D scores can be predicted using WOMAC domain scores with an acceptable precision at both individual and group levels in patients with mild to moderate knee OA. Author Affiliation: (1)Programs for Assessment of Technology in Health, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada (2)Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada (3)Centre for Evaluation of Medicine, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada (4)Discipline of Pharmacy and Experimental Pharmacology, School of Biomedical Sciences, University of Newcastle, Newcastle, NSW, Australia (5)Department of Rheumatology and Immunology, Singapore General Hospital, Singapore (6)Department of Orthopaedic Surgery, Singapore General Hospital, Singapore Article note: Feng Xie, Programs for Assessment of Technology in Health, Department of Clinical Epidemiology and Biostatistics, McMaster University, 25 Main Street West, Suite 2000, Hamilton, ON, Canada L8P 1H1. E-mail: fengxie@mcmaster.ca
  • Idioma: English

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