Literature DB >> 29625860

[The Confusion Assessment Method: Transcultural adaptation of a French version].

V Antoine1, J Belmin2, H Blain3, S Bonin-Guillaume4, L Goldsmith5, O Guerin6, M-J Kergoat7, P Landais8, R Mahmoudi9, J A Morais10, P Rataboul8, A Saber11, S Sirvain12, G Wolfklein13, B de Wazieres14.   

Abstract

INTRODUCTION: The Confusion Assessment Method (CAM) is a validated key tool in clinical practice and research programs to diagnose delirium and assess its severity. There is no validated French version of the CAM training manual and coding guide (Inouye SK). The aim of this study was to establish a consensual French version of the CAM and its manual.
METHODS: Cross-cultural adaptation to achieve equivalence between the original version and a French adapted version of the CAM manual.
RESULTS: A rigorous process was conducted including control of cultural adequacy of the tool's components, double forward and back translations, reconciliation, expert committee review (including bilingual translators with different nationalities, a linguist, highly qualified clinicians, methodologists) and pretesting. A consensual French version of the CAM was achieved.
CONCLUSION: Implementation of the CAM French version in daily clinical practice will enable optimal diagnosis of delirium diagnosis and enhance communication between health professionals in French speaking countries. Validity and psychometric properties are being tested in a French multicenter cohort, opening up new perspectives for improved quality of care and research programs in French speaking countries.
Copyright © 2018 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Adaptation transculturelle; Confusion; Confusion Assessment Method; Cross-cultural adaptation; Delirium; Elderly; Gériatrie; Validation

Mesh:

Year:  2018        PMID: 29625860     DOI: 10.1016/j.respe.2018.01.133

Source DB:  PubMed          Journal:  Rev Epidemiol Sante Publique        ISSN: 0398-7620            Impact factor:   1.019


  1 in total

1.  Results of the "GER-e-TEC" Experiment Involving the Use of an Automated Platform to Detect the Exacerbation of Geriatric Syndromes.

Authors:  Abrar-Ahmad Zulfiqar; Orianne Vaudelle; Mohamed Hajjam; Bernard Geny; Samy Talha; Dominique Letourneau; Jawad Hajjam; Sylvie Erve; Amir Hajjam El Hassani; Emmanuel Andrès
Journal:  J Clin Med       Date:  2020-11-26       Impact factor: 4.241

  1 in total

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