Measurement properties of the German version of the IKDC subjective knee form (IKDC-SKF)

• Published in: Journal of patient-reported outcomes Vol. 2; no. 1; p. 31
• Main Authors: Kümmel, Danica, Preiss, Stefan, Harder, Laurent P., Leunig, Michael, Impellizzeri, Franco M.
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 13-07-2018; SpringerOpen
• Subjects: IKDC; Medicine; Medicine & Public Health; PROM; Quality of Life Research; Reliability; Responsiveness; Short Report; Validity; Responsiveness; Validity; IKDC; Reliability; PROM
• ISSN: 2509-8020; 2509-8020
• DOI: 10.1186/s41687-018-0058-1

Purpose
To examine the measurement properties of the German International Knee Documentation Committee Subjective Knee Form (IKDC-SKF) in knee disorder patients.
Methods
Three hundred twelve consecutive patients undergoing surgery for anterior cruciate ligament, meniscus and/or cartilage injuries completed the IKDC-SKF, Lysholm Score, Tegner Activity Scale, and Short Form-12 Health Survey before and 6 months post-surgery. IKDC-SKF measurement properties were calculated and patients were also asked to rate the relevance/comprehensibility of the questionnaire items.
Results
Reliability was good with high Cronbach’s alpha and intraclass correlation coefficients, and standard error of measurement values of 4.4 to 6.0. The smallest detectable change (SDC) ranged from 12.3 to 16.7 points. Validity was good with 90% of all hypotheses confirmed. Confirmatory factor analysis did not show adequate fitting indices within the model. Over half of the items were rated as essential, and all were well comprehended. The majority of hypotheses for responsiveness were confirmed. No floor and ceiling effects were observed. The area under the curve ranged from 0.82 to 0.89 and the minimal important difference was smaller than the SDC.
Conclusions
The German IKDC-SKF is a reliable outcome measure with good hypotheses testing and responsiveness, but its MIC and structural/content validity need further analysis.