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Translation, cross-cultural adaptation and validation of the vitiligo-specifi c health-related quality of life instrument (VitiQoL) into Brazilian Portuguese*

Overview of attention for article published in Anais Brasileiros de Dermatologia, June 2015
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Title
Translation, cross-cultural adaptation and validation of the vitiligo-specifi c health-related quality of life instrument (VitiQoL) into Brazilian Portuguese*
Published in
Anais Brasileiros de Dermatologia, June 2015
DOI 10.1590/abd1806-4841.20153684
Pubmed ID
Authors

Juliana Catucci Boza, Roopal V Kundu, Amanda Fabbrin, Roberta Horn, Natalia Giongo, Tania Ferreira Cestari

Abstract

Vitiligo, although asymptomatic, highly compromises patients' quality of life (QoL). Therefore, an adequate evaluation of QoL is essential. Translation, cultural adaptation and validation of VitiQol (Vitiligo-specific health-related quality of life instrument) into Brazilian Portuguese. The study was conducted in two stages; the first stage was the translation and cultural/linguistic adaptation of the instrument; the second stage was the instrument's validation. The translated VitiQol showed high internal consistency (Cronbach alpha = 0.944) and high test-retest reliability and intraclass correlation coefficient=0.95 (CI 95% 0.86 - 0.98), p<0.001. There was no statistically significant difference between the means of the first completion of the VitiQoL questionnaire and the retest, p = 0.661. There was a significant correlation between VitiQoL and DLQI (r = 0.776, p <0.001) and also between VitiQoL-PB and subjects' assessment of the severity of their disease (r = 0.702, p <0.001). The impact of vitiligo on the QoL of Brazilian patients can be assessed by a specific questionnaire.

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Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 11%
Researcher 6 9%
Student > Postgraduate 6 9%
Student > Doctoral Student 5 8%
Other 5 8%
Other 11 17%
Unknown 26 39%
Readers by discipline Count As %
Medicine and Dentistry 21 32%
Nursing and Health Professions 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Unspecified 2 3%
Arts and Humanities 2 3%
Other 5 8%
Unknown 29 44%