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Perme Intensive Care Unit Mobility Score and ICU Mobility Scale: translation into Portuguese and cross-cultural adaptation for use in Brazil

OBJECTIVE: To translate the Perme Intensive Care Unit Mobility Score and the ICU Mobility Scale (IMS) into Portuguese, creating versions that are cross-culturally adapted for use in Brazil, and to determine the interobserver agreement and reliability for both versions. METHODS: The processes of tran...

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Detalles Bibliográficos
Autores principales: Kawaguchi, Yurika Maria Fogaça, Nawa, Ricardo Kenji, Figueiredo, Thais Borgheti, Martins, Lourdes, Pires-Neto, Ruy Camargo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Pneumologia e Tisiologia 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344091/
https://www.ncbi.nlm.nih.gov/pubmed/28117473
http://dx.doi.org/10.1590/S1806-37562015000000301
Descripción
Sumario:OBJECTIVE: To translate the Perme Intensive Care Unit Mobility Score and the ICU Mobility Scale (IMS) into Portuguese, creating versions that are cross-culturally adapted for use in Brazil, and to determine the interobserver agreement and reliability for both versions. METHODS: The processes of translation and cross-cultural validation consisted in the following: preparation, translation, reconciliation, synthesis, back-translation, review, approval, and pre-test. The Portuguese-language versions of both instruments were then used by two researchers to evaluate critically ill ICU patients. Weighted kappa statistics and Bland-Altman plots were used in order to verify interobserver agreement for the two instruments. In each of the domains of the instruments, interobserver reliability was evaluated with Cronbach's alpha coefficient. The correlation between the instruments was assessed by Spearman's correlation test. RESULTS: The study sample comprised 103 patients-56 (54%) of whom were male-with a mean age of 52 ± 18 years. The main reason for ICU admission (in 44%) was respiratory failure. Both instruments showed excellent interobserver agreement (κ > 0.90) and reliability (α > 0.90) in all domains. Interobserver bias was low for the IMS and the Perme Score (−0.048 ± 0.350 and −0.06 ± 0.73, respectively). The 95% CIs for the same instruments ranged from −0.73 to 0.64 and −1.50 to 1.36, respectively. There was also a strong positive correlation between the two instruments (r = 0.941; p < 0.001). CONCLUSIONS: In their versions adapted for use in Brazil, both instruments showed high interobserver agreement and reliability.