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Patient Unique Stigmatization Holistic tool in dermatology (PUSH‐D): Development and validation of a dermatology‐specific stigmatization assessment tool

Khaled Ezzedine, Jason Shourick, Christina Bergqvist, L. Misery, Bertrand Chuberre, Delphine Kérob, Bruno Halioua, Gaëlle Le Fur, C. Paul, M.‐A. Richard, C. Taïeb

2022Journal of the European Academy of Dermatology and Venereology36 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The skin plays an important role in establishing interpersonal relationships, and thus visible skin disorders, which have a significant impact on physical appearance, influence other people's behaviours and attitudes. OBJECTIVE: To develop and validate a dermatologic-specific questionnaire to evaluate stigmatization in individuals with visible skin conditions. METHODS: Items were generated by a verbatim report based on qualitative interviews with patients with various dermatologic conditions. Subsequently, a study was implemented for psychometric analysis. A dermatology-specific stigmatization questionnaire (PUSH-D) was refined via item reduction according to inter-question correlations, consensus among experts and exploratory factor analysis. Internal consistency was determined by calculating Cronbach's α. Concurrent validity was determined by calculating the correlation between PUSH-D and the Dermatology Life Quality Index (DLQI) and the Rosenberg Self-Esteem Scale (RSES). RESULTS: From a primary list of 22 items, PUSH-D was reduced to a 17-item questionnaire, covering two pertinent dimensions based on the exploratory factor analysis. Construct validity was demonstrated, and PUSH-D showed good internal consistency (Cronbach's α = 0.9). PUSH-D correlated strongly with the DLQI 0.72 (p < 0.001) and moderately with the RSES 0.49 (p < 0.001). CONCLUSION: PUSH-D allows a comprehensive view of the degree of stigmatization in visible skin disorders, as well as the comparability of stigmatization levels across various skin conditions.

Topics & Concepts

Cronbach's alphaDermatology Life Quality IndexExploratory factor analysisMedicineConstruct validityInternal consistencyDermatologyScale (ratio)Construct (python library)Clinical psychologyPsychometricsPsoriasisProgramming languageQuantum mechanicsComputer sciencePhysicsPsoriasis: Treatment and PathogenesisDermatology and Skin DiseasesSkin Protection and Aging
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