Titre :

Social Representations of e-Mental Health Among the Actors of the Health Care System: Free-Association Study

Auteur(s) :

Morgiève, Margot [Auteur]
Mesdjian, Pierre [Auteur]
Faculté de Médecine Henri Warembourg - Université de Lille
Las Vergnas, Olivier [Auteur]
Centre Interuniversitaire de Recherche en Education de Lille - ULR 4354 [CIREL]
Trigone-CIREL
CREF: Équipe Apprenance et Formation des Adultes
Bury, Patrick [Auteur]
Demassiet, Vincent [Auteur]
Etablissement Public de Santé Mentale de Lille-Métropole [Armentières] [EPSM]
Roelandt, Jean-Luc [Auteur]
Centre Collaborateur de l'Organisation Mondiale de la Santé pour la recherche et la formation en santé mentale [CC-OMS]
Sebbane, Déborah [Auteur]

Titre de la revue :

JMIR Mental Health

Pagination :

e25708

Éditeur :

JMIR Publications

Date de publication :

2021

ISSN :

2368-7959

Mot(s)-clé(s) en anglais :

e-mental health
social representations
free association task
psychiatry
mental health
mental health service users
technology
digital health

Résumé en anglais : [en]

Background Electronic mental (e-mental) health offers an opportunity to overcome many challenges such as cost, accessibility, and the stigma associated with mental health, and most people with lived experiences of mental ...
Lire la suite >Background Electronic mental (e-mental) health offers an opportunity to overcome many challenges such as cost, accessibility, and the stigma associated with mental health, and most people with lived experiences of mental problems are in favor of using applications and websites to manage their mental health problems. However, the use of these new technologies remains weak in the area of mental health and psychiatry. Objective This study aimed to characterize the social representations associated with e-mental health by all actors to implement new technologies in the best possible way in the health system. Methods A free-association task method was used. The data were subjected to a lexicometric analysis to qualify and quantify words by analyzing their statistical distribution, using the ALCESTE method with the IRaMuTeQ software. Results In order of frequency, the terms most frequently used to describe e-mental health in the whole corpus are: “care” (n=21), “internet” (n=21), “computing” (n=15), “health” (n=14), “information” (n=13), “patient” (n=12), and “tool” (n=12). The corpus of text is divided into 2 themes, with technological and computing terms on one side and medical and public health terms on the other. The largest family is focused on “care,” “advances,” “research,” “life,” “quality,” and “well-being,” which was significantly associated with users. The nursing group used very medical terms such as “treatment,” “diagnosis,” “psychiatry”,” and “patient” to define e-mental health. Conclusions This study shows that there is a gap between the representations of users on e-mental health as a tool for improving their quality of life and those of health professionals (except nurses) that are more focused on the technological potential of these digital care tools. Developers, designers, clinicians, and users must be aware of the social representation of e-mental health conditions uses and intention of use. This understanding of everyone’s stakes will make it possible to redirect the development of tools to adapt them as much as possible to the needs and expectations of the actors of the mental health system.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre Interuniversitaire de Recherche en Éducation de Lille (CIREL) - ULR 4354

Source :

Harvested from HAL