B Gandek1, E M Roos2, P D Franklin3, J E Ware4. 1. University of Massachusetts Medical School, Worcester, MA, USA; John Ware Research Group, Watertown, MA, USA. Electronic address: barbara.gandek@umassmed.edu. 2. Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark. Electronic address: eroos@health.sdu.dk. 3. University of Massachusetts Medical School, Worcester, MA, USA. Electronic address: patricia.franklin@umassmed.edu. 4. University of Massachusetts Medical School, Worcester, MA, USA; John Ware Research Group, Watertown, MA, USA. Electronic address: john.ware@jwrginc.com.
Abstract
OBJECTIVE: To develop 12-item short forms (KOOS-12, HOOS-12) of the 42-item Knee injury and Osteoarthritis Outcome Score (KOOS) and 40-item Hip disability and Osteoarthritis Outcome Score (HOOS) that represent the full-length instruments sufficiently to provide joint-specific pain, function and quality of life (QOL) domain and summary joint impact scores. This paper describes KOOS-12 and HOOS-12 item selection. Subsequent papers will examine KOOS-12 and HOOS-12 reliability, validity and responsiveness. DESIGN: Items were selected based on qualitative information from patients, clinicians and KOOS/HOOS translators and analysis of data from 1,395 knee osteoarthritis (OA) and 1,281 hip OA patients from the FORCE-TJR cohort who completed KOOS or HOOS before and after total joint replacement (TJR). Item response theory models and computerized adaptive test (CAT) simulations were used to identify items that best measured patients' levels of pain and function pre- and post-TJR. KOOS-12/HOOS-12 items were selected based on content, coverage of a wide measurement range, high item information, item usage in CAT simulations, scale-level properties (reliability, validity, responsiveness), and qualitative information. RESULTS: KOOS-12 and HOOS-12 each included a pain frequency item and three items measuring pain during increasingly difficult activities (sitting/lying, walking, up/down stairs); function items about standing, rising from sitting, getting in/out of a car, and twisting/pivoting (KOOS-12) or walking on an uneven surface (HOOS-12); and the original 4-item QOL scale. CONCLUSIONS: This study demonstrated the benefits of examining patient-reported outcome measures using modern psychometric methods, to create short forms with diverse content that provide domain-specific and summary joint impact scores.
OBJECTIVE: To develop 12-item short forms (KOOS-12, HOOS-12) of the 42-item Knee injury and Osteoarthritis Outcome Score (KOOS) and 40-item Hip disability and Osteoarthritis Outcome Score (HOOS) that represent the full-length instruments sufficiently to provide joint-specific pain, function and quality of life (QOL) domain and summary joint impact scores. This paper describes KOOS-12 and HOOS-12 item selection. Subsequent papers will examine KOOS-12 and HOOS-12 reliability, validity and responsiveness. DESIGN: Items were selected based on qualitative information from patients, clinicians and KOOS/HOOS translators and analysis of data from 1,395 knee osteoarthritis (OA) and 1,281 hip OA patients from the FORCE-TJR cohort who completed KOOS or HOOS before and after total joint replacement (TJR). Item response theory models and computerized adaptive test (CAT) simulations were used to identify items that best measured patients' levels of pain and function pre- and post-TJR. KOOS-12/HOOS-12 items were selected based on content, coverage of a wide measurement range, high item information, item usage in CAT simulations, scale-level properties (reliability, validity, responsiveness), and qualitative information. RESULTS: KOOS-12 and HOOS-12 each included a pain frequency item and three items measuring pain during increasingly difficult activities (sitting/lying, walking, up/down stairs); function items about standing, rising from sitting, getting in/out of a car, and twisting/pivoting (KOOS-12) or walking on an uneven surface (HOOS-12); and the original 4-item QOL scale. CONCLUSIONS: This study demonstrated the benefits of examining patient-reported outcome measures using modern psychometric methods, to create short forms with diverse content that provide domain-specific and summary joint impact scores.
Authors: Prathap Jayaram; Gu Eon Kang; Brett L Heldt; Olumide Sokunbi; Bo Song; Peter C Yeh; Max Epstein; Theodore B Shybut; Brendan H Lee; Bijan Najafi Journal: Regen Med Date: 2021-08-23 Impact factor: 3.210
Authors: Andrew J McLachlan; Peter R Carroll; David J Hunter; Tom A N Wakefield; Rodney Stosic Journal: Health Expect Date: 2022-01-08 Impact factor: 3.318