探索数字心理健康技术的社会影响:批判性评论

IF 4.1 Q1 PSYCHIATRY
Olivia A. Stein, Audrey Prost
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引用次数: 0

摘要

导言数字心理健康技术是一种严重依赖大数据和人工智能的服务,被广泛认为是解决全球心理保健短缺问题的可行方案。这些服务包括预测和检测症状、个性化治疗、聊天机器人疗法以及个人和人群监测。现有的研究主要集中在描述这些技术的功能性、可接受性和功效,以及数据管理方面的挑战。本评论从数字心理健康技术对心理保健的影响、基于人群的心理健康监测以及心理健康数据商品化等方面探讨了数字心理健康技术的社会意义。方法按照PRISMA-ScR检索了六个数据库中2014年至2023年间发表的有关数字心理健康技术的文献。采用 "框架 "方法对 53 条记录进行了定性数据分析,并与有关精神医疗、伦理、健康公平和数据资本主义的更广泛文献进行了交流。结果有关数字精神健康技术的文献强调了三个主要的伦理关注领域。首先,根据与临床服务的联系,这些技术可能通过改变心理保健的可及性、质量和资源可用性,以积极或消极的方式影响治疗和管理。此外,这些技术还可能因精神保健的客体化或非人性化、不良精神健康的医疗化以及自我管理的突出而产生影响。其次,探讨了新型临床和人群监测的影响,包括算法触发的心理健康干预和监测。第三,文献对通过数据资本主义将心理健康数据商品化的做法提出了保留意见。 结论:这篇评论性综述表明,迫切需要对数字心理健康技术进行全面监管,并开展学术合作,以遏制对心理医疗系统和社会的不利影响,同时,如果与临床医生和经历过精神疾病的社区合作实施这些服务,我们对其潜在的益处仍持乐观态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the societal implications of digital mental health technologies: A critical review

Introduction

Digital mental health technologies are services that rely significantly on big data and artificial intelligence and are widely championed as possible solutions to global mental healthcare shortages. Services include prediction and detection of symptoms, personalized treatment, chatbot therapy, and both personal and population-level monitoring. Existing research has focused on describing the functionality, acceptability, and efficacy of these technologies, as well as data governance challenges. This critical review explores the societal implications of digital mental health technologies in terms of its impacts on mental healthcare, population-based monitoring of mental health, and commodification of mental health data.

Methods

Searched six databases for literature on digital mental health technologies published between 2014 and 2023 following PRISMA-ScR. Conducted qualitative data analysis of 53 records using the Framework method, bringing into conversation wider literature on mental healthcare, ethics, health equity, and data capitalism.

Results

The literature on digital mental health technologies highlights three main areas of ethical concern. First, these technologies could affect treatment and management through changes in accessibility, quality and resource availability of mental healthcare in either positive or negative ways, depending on linkages with clinical services. In addition, these technologies may have ramifications due to the objectification or dehumanization of mental healthcare, the medicalization of poor mental health, and the prominence of self-management. Second, the implications of novel clinical and population-based monitoring are explored, including algorithm-triggered mental health interventions and surveillance. Third, the literature brings forth reservations about the commodification of mental health data through the practice of data capitalism.

Conclusion

This critical review suggests an urgent need for comprehensive regulation of digital mental health technologies and scholarly collaboration to curb adverse effects on mental healthcare systems and society, while remaining optimistic regarding the potential benefits of these services if implemented in collaboration with clinicians and communities who experience mental illness.
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来源期刊
SSM. Mental health
SSM. Mental health Social Psychology, Health
CiteScore
2.30
自引率
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审稿时长
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