298
Views
29
CrossRef citations to date
0
Altmetric
Research Papers

Translation and validation of Chinese version of International Knee Documentation Committee Subjective Knee Form

&
Pages 1186-1189 | Accepted 01 Sep 2010, Published online: 23 Sep 2011
 

Abstract

Purpose. To translate, cross-culturally adapt and validate the International Knee Documentation Committee Subjective Knee Form (IKDC-SKF-C) to Chinese.

Method. Forward and backward translations were conducted by two bilingual professional translators. Content validity was verified by a panel of a senior orthopaedic surgeon and six physiotherapists. The IKDC-SKF-C was tested on 84 patients. Psychometric testing included internal consistency (Cronbach's α) and test–retest reliability. Convergent validity used Spearman's correlation coefficient (rho) tests by comparing its score with the Chinese version of SF-36.

Results. The Internal consistency was excellent with Cronbach's α  ==  0.97. Test-retest reliability was supported with an ICC  ==  0.87. The IKDC-SKF-C was moderately related to concurrent measures of physical function and bodily pain (r  ==  0.64, p  <0.05).

Conclusion. The translated Chinese IKDC-SKF is a reliable and valid tool with equal measurement properties and conceptual equivalent to the original version.

Acknowledgements

We thank all the patients who participated in this study, Dr. Hok-ming Ho and the Physiotherapists in Tsang Kwan O Hospital. We also thank Dr. Raymond Chung for his advice on statistical analysis.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 374.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.