Morgiève Margot, Mesdjian Pierre, Las Vergnas Olivier, Bury Patrick, Demassiet Vincent, Roelandt Jean-Luc, Sebbane Déborah
WHO Collaborating Centre for Research and Training in Mental Health, EPSM Lille Metropole, Hellemmes, France.
Cermes3, Centre de Recherche Médecine, Sciences, Santé, Santé Mentale et Société, Paris, France.
JMIR Ment Health. 2021 May 27;8(5):e25708. doi: 10.2196/25708.
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.
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.
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.
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.
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.
电子心理健康提供了一个机会，可克服诸多挑战，如成本、可及性以及与心理健康相关的污名化问题，而且大多数有心理健康问题亲身经历的人都赞成使用应用程序和网站来管理他们的心理健康问题。然而，这些新技术在心理健康和精神病学领域的应用仍然较少。
本研究旨在描述所有行为者对电子心理健康的社会认知，以便在卫生系统中以最佳方式实施新技术。
采用自由联想任务法。使用带有IRaMuTeQ软件的ALCESTE方法，通过分析单词的统计分布对数据进行词汇计量分析，以对单词进行定性和定量。
按出现频率排序，在整个语料库中最常用来描述电子心理健康的词汇依次为：“护理”（n = 21）、“互联网”（n = 21）、“计算机技术”（n = 15）、“健康”（n = 14）、“信息”（n = 13）、“患者”（n = 12）和“工具”（n = 12）。文本语料库分为两个主题，一方面是技术和计算机技术方面的词汇，另一方面是医学和公共卫生方面的词汇。最大的类别集中在“护理”、“进展”、“研究项目”、“生活”、“质量”和“幸福”，这与用户显著相关。护理组使用非常专业的医学术语，如“治疗”、“诊断”、“精神病学”和“患者”来定义电子心理健康。
本研究表明，用户将电子心理健康视为改善生活质量的工具的认知，与更关注这些数字护理工具技术潜力的卫生专业人员（护士除外）的认知之间存在差距。开发者、设计师、临床医生和用户必须了解电子心理健康状况的社会认知、用途和使用意图。对各方利益的这种理解将有助于调整工具的开发方向，使其尽可能适应心理健康系统行为者的需求和期望。
