The 12-item Oxford Knee Score: cross-cultural adaptation into German and assessment of its psychometric properties in patients with osteoarthritis of the knee

Osteoarthritis Cartilage. 2009 Jan;17(1):49-52. doi: 10.1016/j.joca.2008.05.017. Epub 2008 Jul 7.

Abstract

Objective: To cross-culturally adapt and validate the Oxford Knee Score (OKS) for use in German-speaking patients with osteoarthritis of the knee.

Methods: After the cross-cultural adaptation (OKS-D), the following metric properties of the questionnaire were assessed in 100 consecutive patients (mean age 66.5 years, 61 women) undergoing total knee replacement: feasibility (percentage of fully completed questionnaires), reliability (Intraclass Correlation Coefficients [ICC] and Bland and Altman's limits of agreement), and construct validity (correlation with the Western Ontario and McMaster Universities Index [WOMAC], Knee Society Score [KSS], Activities of Daily Living Scale [ADLS], and Short Form 12 [SF-12]), floor and ceiling effects, and internal consistency (Cronbach's Alpha, CA).

Results: We received 91.9% fully completed questionnaires. Reliability of the OKS-D was excellent (ICC 0.91). Bland and Altman's limits of agreement revealed no significant bias (-0.2) and a random error of 6.2. Correlation coefficients with the other questionnaires ranged from -0.22 (SF-12 Mental Component Scale [MCS]) to -0.77 (ADLS). We observed no floor or ceiling effects. The CA was 0.83.

Conclusions: The German version of the OKS is a reliable and valid measure for the self-assessment of pain and function in German-speaking patients with osteoarthritis of the knee.

Publication types

  • Validation Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cross-Cultural Comparison
  • Female
  • Germany
  • Humans
  • Knee Joint / physiopathology
  • Language
  • Male
  • Middle Aged
  • Osteoarthritis, Knee / diagnosis*
  • Osteoarthritis, Knee / physiopathology
  • Pain Measurement / methods
  • Psychometrics
  • Reproducibility of Results
  • Severity of Illness Index*