<i>Cardiff Acne Disability Index</i>: cultural and linguistic validation in Uruguayan Spanish

Background: The Cardiff Acne Disability Index (CADI) is a specific tool for measuring the impact on the quality of life of patients with acne, and has been translated and validated into multiple languages. Objective: We present the definitive Uruguayan Spanish version of the CADI questionnaire, and its validation process. Material and methods: The translation from its original version in English was carried out following international recommendations, including translation by several professionals, a back-translation into English, and a subsequent comprehensibility test carried out on individuals with acne. Then an observational, prospective, and multicenter validation study was conducted, including 54 individuals with acne who completed the questionnaire twice within a 14-day interval. Results: The cross-cultural translation and adaptation process identified, and resolved compatibility difficulties. Likewise, its clarity and understandability were demonstrated. The questionnaire showed good internal consistency, with a Cronbach’s alpha coefficient of 0.81, and good test-retest reliability, with a Pearson coefficient of 0.86, and an intraclass correlation coefficient of 0.84. Conclusions: The CADI, a valuable tool for assessing the impact of acne on our patients, is available to be used in Uruguay.

Authors

Publication Details

Journal
Revista Medicina Cutánea Ibero-Latino-Americana
Published
2024-11-11
DOI
https://doi.org/10.24875/mcute.m24000015
Primary Topic
Spanish Linguistics and Language Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cardiff Acne Disability Index: cultural and linguistic validation in Uruguayan Spanish

Caroline Agorio, Gabriela Otero, Nelson Turra, Camila Otero et al.
Revista Medicina Cutánea Ibero-Latino-Americana
Spanish Linguistics and Language Studies
article

Cardiff Acne Disability Index: cultural and linguistic validation in Uruguayan Spanish

Caroline Agorio, Gabriela Otero, Nelson Turra, Camila Otero, Cecilia Durán, Cecilia Izuibejeres
article en

Abstract

Background: The Cardiff Acne Disability Index (CADI) is a specific tool for measuring the impact on the quality of life of patients with acne, and has been translated and validated into multiple languages. Objective: We present the definitive Uruguayan Spanish version of the CADI questionnaire, and its validation process. Material and methods: The translation from its original version in English was carried out following international recommendations, including translation by several professionals, a back-translation into English, and a subsequent comprehensibility test carried out on individuals with acne. Then an observational, prospective, and multicenter validation study was conducted, including 54 individuals with acne who completed the questionnaire twice within a 14-day interval. Results: The cross-cultural translation and adaptation process identified, and resolved compatibility difficulties. Likewise, its clarity and understandability were demonstrated. The questionnaire showed good internal consistency, with a Cronbach’s alpha coefficient of 0.81, and good test-retest reliability, with a Pearson coefficient of 0.86, and an intraclass correlation coefficient of 0.84. Conclusions: The CADI, a valuable tool for assessing the impact of acne on our patients, is available to be used in Uruguay.

Revista Medicina Cutánea Ibero-Latino-AmericanaVol. 52(3)
Quality Education
Openalex Percentile: Top 66%
Spanish Linguistics and Language Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.