Background: Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users. Objective: The purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. Methods: A scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool. Results: In total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found. Conclusions: Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

中文翻译：

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预防，复发和治疗轻度和中度抑郁症的数字健康干预：范围回顾

背景：抑郁症是导致世界范围内残疾的主要原因，数字健康干预有望成为一种有效的补充疗法。根据信息和通信技术的快速增长及其传播领域，需要绘制技术图景及其对用户的好处。目的：进行范围界定审查的目的是概述用于抑郁症的数字健康干预措施。这次审查的主要目的是对系统格局及其技术状态和功能以及为用户提供的证据和好处进行全面的审查。方法：进行了范围界定审查，以提供有关抑郁症数字健康干预领域的全面概述。2020年10月，两名独立研究人员对PubMed，PSYNDEX和Cochrane图书馆进行了搜索，以确定最近10年的相关出版物，并使用纳入和排除标准对其进行了检查。为了进行审查，我们使用了免费提供的Web工具Rayyan。结果：在定性综合中总共包括65个研究。将研究分为预防，早期发现，治疗和复发预防领域后，我们发现治疗领域的研究占主导地位（n = 52）。只有一项预防研究，5项早期发现研究和7项预防复发研究。最主要的治疗方法是认知行为治疗，接受和承诺治疗以及解决问题的治疗。大多数研究表明，应用认知行为疗法后，数字健康干预措施将产生显着效果。认知行为疗法是最主要的形式，通常是通过基于Web的系统提供的。越来越多地发现由基于Web的方法和基于智能手机的方法组成的联合干预措施。结论：用于治疗抑郁症的数字健康干预措施非常全面。有针对不同护理领域的不同干预措施。虽然大多数干预措施对实现更好的抑郁症治疗都可能有益，但可能难以确定哪种方法合适。通过数字健康干预进行的认知行为疗法在抑郁症的治疗中已显示出良好的效果，但是抑郁症的治疗仍然非常个人化。