What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies

IF 2.6 4区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

Journal of Occupational Health Pub Date : 2023-11-09 DOI:10.1093/joccuh/uiad003

Naomichi Tani, Hiroaki Fujihara, Kenji Ishii, Yoshiyuki Kamakura, Mafu Tsunemi, Chikae Yamaguchi, Hisashi Eguchi, K. Imamura, Satoru Kanamori, Noriko Kojimahara, Takeshi Ebara

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引用次数: 0

Abstract

Digital health technology has been widely applied to mental health interventions worldwide. Using digital phenotyping to identify an individual's mental health status has become particularly important. However, many technologies other than digital phenotyping are expected to become more prevalent in the future. The systematization of these technologies is necessary to accurately identify trends in mental health interventions. However, no consensus on the technical classification of digital health technologies for mental health interventions has emerged. Thus, we conducted a review of systematic review articles on the application of digital health technologies in mental health while attempting to systematize the technology using the Delphi method. To identify technologies used in digital phenotyping and other digital technologies, we included four systematic review articles, which met the inclusion criteria, and an additional eight review articles, using a snowballing approach, were incorporated into the comprehensive review. Based on the review results, experts from various disciplines participated in the Delphi process and agreed on the following 11 technical categories for mental health interventions: heart rate estimation, exercise or physical activity, sleep estimation, contactless heart rate/pulse wave estimation, voice and emotion analysis, self-care/cognitive behavioral therapy/mindfulness, dietary management, psychological safety, communication robots, avatar/metaverse devices, and brain wave devices. The categories we defined intentionally included technologies that are expected to become widely used in the future. Therefore, we believe these 11 classifications are socially implementable and useful for mental health interventions.

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心理健康预防和干预中使用了哪些数字健康技术类型？对技术系统化的系统回顾

数字健康技术已在全球范围内广泛应用于心理健康干预。利用数字表型技术识别个人的心理健康状况已变得尤为重要。然而，除数字表型技术外，许多其他技术预计在未来会变得更加普遍。要准确识别心理健康干预的趋势，就必须将这些技术系统化。然而，对于用于心理健康干预的数字健康技术的技术分类尚未达成共识。因此，我们对有关数字医疗技术在心理健康领域应用的系统性综述文章进行了回顾，同时尝试使用德尔菲法将技术系统化。为了确定数字表型和其他数字技术中使用的技术，我们纳入了四篇符合纳入标准的系统性综述文章，并采用滚雪球的方法将另外八篇综述文章纳入了综合综述。根据综述结果，来自不同学科的专家参与了德尔菲程序，并就以下 11 个心理健康干预技术类别达成了一致意见：心率估算、运动或体力活动、睡眠估算、非接触式心率/脉搏波估算、语音和情绪分析、自我保健/认知行为疗法/正念、饮食管理、心理安全、通信机器人、头像/宇宙设备以及脑电波设备。我们有意将有望在未来得到广泛应用的技术纳入我们定义的类别中。因此，我们认为这 11 个分类对心理健康干预具有社会可实施性和实用性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Occupational Health 医学-公共卫生、环境卫生与职业卫生

CiteScore

5.60

自引率

3.30%

发文量

审稿时长

6-12 weeks

期刊介绍： The scope of the journal is broad, covering toxicology, ergonomics, psychosocial factors and other relevant health issues of workers, with special emphasis on the current developments in occupational health. The JOH also accepts various methodologies that are relevant to investigation of occupational health risk factors and exposures, such as large-scale epidemiological studies, human studies employing biological techniques and fundamental experiments on animals, and also welcomes submissions concerning occupational health practices and related issues.