Literature DB >> 26809367

Validation of the French version of the Acceptability E-scale (AES) for mental E-health systems.

Jean-Arthur Micoulaud-Franchi1, Alain Sauteraud1, Jérôme Olive2, Patricia Sagaspe1, Stéphanie Bioulac1, Pierre Philip3.   

Abstract

Despite the increasing use of E-health systems for mental-health organizations, there is a lack of psychometric tools to evaluate their acceptability by patients with mental disorders. Thus, this study aimed to translate and validate a French version of the Acceptability E-scale (AES), a 6-item self-reported questionnaire that evaluates the extent to which patients find E-health systems acceptable. A forward-backward translation of the AES was performed. The psychometric properties of the French AES version, with construct validity, internal structural validity and external validity (Pearson's coefficient between AES scores and depression symptoms on the Beck Depression Inventory II) were analyzed. In a sample of 178 patients (mean age=46.51 years, SD=12.91 years), the validation process revealed satisfactory psychometric properties: factor analysis revealed two factors: "Satisfaction" (3 items) and "Usability" (3 items) and Cronbach's alpha was 0.7. No significant relation was found between AES scores and depression symptoms. The French version of the AES revealed a two-factor scale that differs from the original version. In line with the importance of acceptability in mental health and with a view to E-health systems for patients with mental disorders, the use of the AES in psychiatry may provide important information on acceptability (i.e., satisfaction and usability).
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  E-health; Psychometrics; Questionnaire; Satisfaction; Validity

Mesh:

Year:  2016        PMID: 26809367     DOI: 10.1016/j.psychres.2016.01.043

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

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Journal:  Sci Rep       Date:  2017-02-16       Impact factor: 4.379

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5.  Smartphone-Based Virtual Agents to Help Individuals With Sleep Concerns During COVID-19 Confinement: Feasibility Study.

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6.  Effectiveness and Acceptance of a Smartphone-Based Virtual Agent Screening for Alcohol and Tobacco Problems and Associated Risk Factors During COVID-19 Pandemic in the General Population.

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  6 in total

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