FACE-Q for Measuring Patient-reported Outcomes after Facial Skin Cancer Surgery: Cross-cultural Validation

Maarten J. Ottenhof*, Thomas D. Dobbs, Inge Veldhuizen, Conrad J. Harrison, Michelle Marges, Erica H. Lee, Maarten M. Hoogbergen, Rene R. W. J. van der Hulst, Andrea L. Pusic, Chris J. Sidey-Gibbons

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Facial skin cancer and its surgical treatment can affect health-related quality of life. The FACE-Q Skin Cancer Module is a patient-reported outcome measure that measures different aspects of health-related quality of life and has recently been translated into Dutch. This study aimed to evaluate the performance of the translated version in a Dutch cohort using modern psychometric measurement theory (Rasch). Methods: Dutch participants with facial skin cancer were prospectively recruited and asked to complete the translated FACE-Q Skin Cancer Module. The following assumptions of the Rasch model were tested: unidimensionality, local independence, and monotonicity. Response thresholds, fit statistics, internal consistency, floor and ceiling effects, and targeting were assessed for all scales and items within the scales. Responsiveness was tested for the "cancer worry" scale. Results: In total, 259 patients completed the preoperative questionnaire and were included in the analysis. All five scales assessed showed a good or sufficient fit to the Rasch model. Unidimensionality and monotonicity were present for all scales. Some items showed a local dependency. Most of the scales demonstrate ordered item thresholds and appropriate fit statistics. Conclusions: The FACE-Q Skin Cancer Module is a well-designed patient-reported outcome measure that shows psychometric validity for the translated version in a Dutch cohort, using classical and modern test theory.
Original languageEnglish
Article numbere5771
Number of pages6
JournalPlastic and Reconstructive Surgery - Global Open
Volume12
Issue number4
DOIs
Publication statusPublished - 1 Apr 2024

Keywords

  • TASK-FORCE
  • INSTRUMENTS
  • ADAPTATION
  • FIT

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