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Cross-cultural adaptation into French and validation of the SCAR-Q questionnaire

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Abstract

Purpose

Most questionnaires designed to evaluate patient-reported outcomes regarding scarring are available in English. The objective was to generate a validated French version of the SCAR-Q questionnaire.

Methods

The SCAR-Q questionnaire (including Appearance, Symptom and Psychological impact scales) was translated into French using a translation-back-translation process in accordance with international guidelines (ISPOR and WHO). For validation, two hundred patients consulting in our tertiary center completed the questionnaire. We tested scale reliability (Cronbach’s α), floor/ceiling effects and item redundancy (inter-item correlations). Structural validity was tested using confirmatory factor analysis (CFA) with the robust weighted least squares (WLSMV) estimator and Delta parameterization. Model fit was examined using the root mean square error of approximation (RMSEA), the comparative fit index (CFI) and the Tucker-Lewis index (TLI). Correlations between scales and scale repeatability were tested (Spearman coefficient, Intra-class-coefficient).

Results

Four steps were required to obtain a translation consistent with the original version. Two hundred patients completed the questionnaire for validation. Internal consistency analysis found Cronbach’s alphas > 0.7 for all scales (0.90 < α < 0.97). No floor or ceiling effect was found for all items (max = 85%). A ceiling effect was observed for all scales. Appearance and psychosocial impact scale items showed redundancy, with many inter-item correlations above 0.7. The CFA of the original structure displayed a reasonable fit, with RMSEA = 0.065, CFI = 0.974 and TLI = 0.972. Scales were positively correlated (0.45 <  ρ < 0.65; p < 0.001). Test–retest intra-class correlation coefficients ranged from 0.94 to 0.99 for all scales.

Conclusion

A French version of the SCAR-Q questionnaire is validated, ready for use.

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References

  1. Finlay, A. Y., Khan, G. K., Luscombe, D. K., & Salek, M. S. (1990). Validation of sickness impact profile and psoriasis disability index in psoriasis. British Journal of Dermatology, 123, 751–756. https://doi.org/10.1111/j.1365-2133.1990.tb04192.x.

    Article  CAS  Google Scholar 

  2. Zhang, X., Liu, Y., Deng, X., et al. (2019). The correlation between quality of life and acceptability of disability in patients with facial burn scars. Frontiers in Bioengineering and Biotechnology, 7, 329. https://doi.org/10.3389/fbioe.2019.00329.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Baumhauer, J. F. (2017). Patient-reported outcomes—Are they living up to their potential? New England Journal of Medicine, 377, 6–9. https://doi.org/10.1056/NEJMp1702978.

    Article  Google Scholar 

  4. Klassen, A. F., Ziolkowski, N., Mundy, L. R., et al. (2018). Development of a new patient-reported outcome instrument to evaluate treatments for scars: The SCAR-Q. Plastic and Reconstructive Surgery Global Open, 6, e1672. https://doi.org/10.1097/GOX.0000000000001672.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Ziolkowski, N. I., Pusic, A. L., Fish, J. S., et al. (2020). Psychometric findings for the SCAR-Q patient-reported outcome measure based on 731 children and adults with surgical, traumatic, and burn scars from four countries. Plastic & Reconstructive Surgery, 146, 331e–338e. https://doi.org/10.1097/PRS.0000000000007078.

    Article  CAS  Google Scholar 

  6. Mundy, L. R., Miller, H. C., Klassen, A. F., et al. (2016). Patient-reported outcome instruments for surgical and traumatic scars: A systematic review of their development, content, and psychometric validation. Aesthetic Plastic Surgery, 40, 792–800. https://doi.org/10.1007/s00266-016-0642-9.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Vercelli, S., Ferriero, G., Sartorio, F., et al. (2003). How to assess postsurgical scars: A review of outcome measures. Disability and Rehabilitation, 25, 2055–2063. https://doi.org/10.3109/09638280902874196.

    Article  Google Scholar 

  8. Guillemin, F., Bombardier, C., & Beaton, D. (1993). Cross-cultural adaptation of health-related quality of life measures: Literature review and proposed guidelines. Journal of Clinical Epidemiology, 46, 1417–1432. https://doi.org/10.1016/0895-4356(93)90142-n.

    Article  CAS  PubMed  Google Scholar 

  9. Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25, 3186–3191. https://doi.org/10.1097/00007632-200012150-00014.

    Article  CAS  PubMed  Google Scholar 

  10. Chakka, S., & Werth, V. P. (2019). Cross-cultural adaptations of health-related quality of life measures. British Journal of Dermatology, 181, 659–660. https://doi.org/10.1111/bjd.18272.

    Article  CAS  Google Scholar 

  11. Vasquez, D., Aguirre, D.-C., & Sanclemente, G. (2019). Construct validity and responsiveness of the Colombian version of Skindex-29. British Journal of Dermatology, 181, 770–777. https://doi.org/10.1111/bjd.17742.

    Article  CAS  Google Scholar 

  12. Wild, D., Grove, A., Martin, M., et al. (2005). Principles of good practice for the translation and cultural adaptation process for patient-reported outcomes (PRO) measures: Report of the ISPOR task force for translation and cultural adaptation. Value in Health, 8, 94–104. https://doi.org/10.1111/j.1524-4733.2005.04054.x.

    Article  PubMed  Google Scholar 

  13. WHO | Process of translation and adaptation of instruments. In: WHO. https://www.who.int/substance_abuse/research_tools/translation/en/. Accessed 25 April 2020.

  14. Terwee, C. B., Bot, S. D. M., de Boer, M. R., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology, 60, 34–42. https://doi.org/10.1016/j.jclinepi.2006.03.012.

    Article  PubMed  Google Scholar 

  15. de Vet, H. C. W., Terwee, C. B., Mokkink, L. B., & Knol, D. L. (2011). Measurement in medicine: A practical guide. In: Cambridge Core. /core/books/measurement-in-medicine/8BD913A1DA0ECCBA951AC4C1F719BCC5. Accessed 25 April 2020.

  16. Gadermann, A., Guhn, M., & Zumbo, B. (2012). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research & Evaluation, 17, 1–13.

    Google Scholar 

  17. Bland, J. M., & Altman, D. G. (1997). Cronbach’s alpha. BMJ, 314, 572. https://doi.org/10.1136/bmj.314.7080.572.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1). https://doi.org/10.1080/10705519909540118. https://www.tandfonline.com/doi/abs/. Accessed 25 April 2020.

  19. Tredget, E. E., Shupp, J. W., & Schneider, J. C. (2017). Scar management following burn injury. Journal of Burn Care & Research, 38, 146–147. https://doi.org/10.1097/BCR.0000000000000548.

    Article  Google Scholar 

  20. Kim, B., Sgarioto, M., Hewitt, D., et al. (2018). Scar outcomes in dermatological surgery. Australasian Journal of Dermatology, 59, 48–51. https://doi.org/10.1111/ajd.12570.

    Article  Google Scholar 

  21. Poulsen, L., Rose, M., Klassen, A., et al. (2017). Danish translation and linguistic validation of the BODY-Q: A description of the process. European Journal of Plastic Surgery, 40, 29–38. https://doi.org/10.1007/s00238-016-1247-x.

    Article  PubMed  Google Scholar 

  22. Radulesco, T., Penicaud, M., Santini, L., et al. (2018). French validation of the FACE-Q Rhinoplasty module. Clinical Otolaryngology. https://doi.org/10.1111/coa.13267.

    Article  PubMed  Google Scholar 

  23. Lacasse, Y., & Sériès, F. (2004). Health-related quality of life measurement: A readers’ guide. Revue des Maladies Respiratoires, 21, S63–S70. https://doi.org/10.1016/s0761-8425(04)71462-x.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

Authors

Contributions

TR: Conceptualization, Methodology. JM: Statistics. MP: Data curation; JJG: Original draft preparation. MAR: Supervision, PD: Data curation. NM: co-writing.: JM: Validation.

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Correspondence to Thomas Radulesco.

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Yes: We obtained an Ethical Committee Authorization (Authorization N° 2020-67).

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Radulesco, T., Mancini, J., Penicaud, M. et al. Cross-cultural adaptation into French and validation of the SCAR-Q questionnaire. Qual Life Res 30, 1225–1231 (2021). https://doi.org/10.1007/s11136-020-02719-8

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