Tokgöz Pinar, Hrynyschyn Robert, Hafner Jessica, Schönfeld Simone, Dockweiler Christoph
School of Public Health, Bielefeld University, Bielefeld, Germany.
Charité - Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Health and Nursing Science, Berlin, Germany.
JMIR Ment Health. 2021 Apr 16;8(4):e26268. doi: 10.2196/26268.
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.
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.
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.
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.
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.
抑郁症是全球致残的主要原因，数字健康干预有望成为一种辅助且有效的治疗方法。随着信息通信技术领域的快速发展及其传播，有必要描绘技术格局及其对用户的益处。
本范围综述的目的是概述用于治疗抑郁症的数字健康干预措施。本综述的主要目标是全面回顾系统格局及其技术状态和功能，以及其对用户的证据和益处。
进行了一项范围综述，以全面概述用于治疗抑郁症的数字健康干预领域。2020年10月，两名独立研究人员在PubMed、PSYNDEX和考科蓝图书馆进行检索，以识别过去10年的相关出版物，并根据纳入和排除标准进行审查。为进行综述，我们使用了免费的网络工具Rayyan。
定性综合分析共纳入65项研究。在将研究分为预防、早期检测、治疗和预防复发领域后，我们发现治疗领域的研究数量占主导（n = 52）。预防方面只有1项研究，早期检测方面有5项研究，预防复发方面有7项研究。最主要的治疗方法是认知行为疗法、接受与承诺疗法和解决问题疗法。大多数研究表明，应用认知行为疗法时数字健康干预有显著效果。作为最主要形式 的认知行为疗法通常通过基于网络的系统提供。越来越多地发现由基于网络和基于智能手机的方法组成的联合干预措施。
用于治疗抑郁症的数字健康干预措施相当全面。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可能有助于实现更好的抑郁症治疗，但可能难以确定哪些方法合适。通过数字健康干预进行的认知行为疗法在抑郁症治疗中显示出良好效果，但抑郁症治疗仍然非常个体化。
