Assessing the Structural Validity of the Knee Injury and Osteoarthritis Outcome Score Scale

Author:

Quintana Dylan T.1,Casanova Madeline P.12ORCID,Cady Adam C.3ORCID,Baker Russell T.12ORCID

Affiliation:

1. WWAMI Medical Education Program, University of Idaho, Moscow, ID 83844, USA

2. Idaho Office of Underserved and Rural Medical Research, University of Idaho, Moscow, ID 83844, USA

3. Kaiser Permanente, Woodland Hills, CA 91367, USA

Abstract

Background: The Knee Injury and Osteoarthritis Outcome Score (KOOS) scale is used to assess patient perspectives on knee health. However, the structural validity of the KOOS has not been sufficiently tested; therefore, our objective was to assess the KOOS in a large, multi-site database of patient responses who were receiving care for knee pathology. Methods: A cross-sectional study was conducted using the Surgical Outcome System (SOS) database. A confirmatory factor analysis (CFA) was conducted to assess the proposed five-factor KOOS using a priori cut-off values. Because model fit indices were not met, a subsequent exploratory factor analysis (EFA) was conducted to identify a parsimonious model. The resulting four-factor structure (i.e., KOOS SF-12) was then assessed using CFA and subjected to multigroup invariance testing. Results: The original KOOS model did not meet rigorous CFA fit recommendations. The KOOS SF-12 did meet model fit recommendations and passed all invariance testing between intervention procedure, sex, and age groups. Conclusion: The KOOS failed to meet model fit recommendations. The KOOS SF-12 met model fit recommendations, maintained a multi-factorial structure, and was invariant across all tested groups. The KOOS did not demonstrate sound structural validity. A refined KOOS SF-12 model that met recommended model fit indices and invariance testing criteria was identified. Our findings provide initial support for a multidimensional KOOS structure (i.e., KOOS SF-12) that is a more psychometrically sound instrument for measuring patient-reported knee health.

Funder

National Institute of General Medical Sciences of the National Institutes of Health

Idaho WWAMI Research Training Support Award

Publisher

MDPI AG

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