Assessment of health-related quality of life in arthritis: conceptualization and development of five item banks using it
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Assessment of health-related quality of life in arthritis: conceptualization and development of five item banks using item response theory Jacek A Kopec*1,2, Eric C Sayre2,3, Aileen M Davis4, Elizabeth M Badley5, Michal Abrahamowicz6, Lesley Sherlock2, J Ivan Williams7, Aslam H Anis1,2 and John M Esdaile2,8 Address: 1Department of Health Care and Epidemiology, University of British Columbia, Vancouver, BC, Canada, 2Arthritis Research Centre of Canada, Vancouver, BC, Canada, 3Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC, Canada, 4Outcomes and Population Health, Toronto Western Research Institute, Toronto, Ontario, Canada, 5Department of Public Health Sciences, University of Toronto, Toronto, Ontario, Canada, 6Department of Epidemiology and Biostatistics, McGill University, Montreal, Quebec, Canada, 7Toronto Rehabilitation Institute, Toronto, Ontario, Canada and 8Division of Rheumatology, University of British Columbia, Vancouver, BC, Canada Email: Jacek A Kopec* - [email protected]; Eric C Sayre - [email protected]; Aileen M Davis - [email protected]; Elizabeth M Badley - [email protected]; Michal Abrahamowicz - [email protected]; Lesley Sherlock - [email protected]; J Ivan Williams - [email protected]; Aslam H Anis - [email protected]; John M Esdaile - [email protected] * Corresponding author
Published: 02 June 2006 Health and Quality of Life Outcomes 2006, 4:33
doi:10.1186/1477-7525-4-33
Received: 08 April 2006 Accepted: 02 June 2006
This article is available from: http://www.hqlo.com/content/4/1/33 © 2006 Kopec et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract Background: Modern psychometric methods based on item response theory (IRT) can be used to develop adaptive measures of health-related quality of life (HRQL). Adaptive assessment requires an item bank for each domain of HRQL. The purpose of this study was to develop item banks for five domains of HRQL relevant to arthritis. Methods: About 1,400 items were drawn from published questionnaires or developed from focus groups and individual interviews and classified into 19 domains of HRQL. We selected the following 5 domains relevant to arthritis and related conditions: Daily Activities, Walking, Handling Objects, Pain or Discomfort, and Feelings. Based on conceptual criteria and pilot testing, 219 items were selected for further testing. A questionnaire was mailed to patients from two hospital-based clinics and a stratified random community sample. Dimensionality of the domains was assessed through factor analysis. Items were analyzed with the Generalized Partial Credit Model as implemented in Parscale. We used graphical methods and a chi-square test to assess item fi
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