TY - JOUR AU - Shah, Amika AU - Hussain-Shamsy, Neesha AU - Strudwick, Gillian AU - Sockalingam, Sanjeev AU - Nolan, Robert P AU - Seto, Emily PY - 2022 DA - 2022/9/26 TI -慢性疾病患者抑郁和焦虑的数字健康干预:范围审查乔- J地中海互联网Res SP - e38030六世- 24 - 9千瓦抑郁KW -焦虑KW -多种慢性病KW -慢性疾病KW -心理健康KW -精神病学KW -数字医疗KW -电子健康KW -远程医疗KW -移动健康KW - mHealth KW -远程医疗AB -背景:慢性疾病的特点是他们的长期(≥1年),需要持续的医疗照顾,和限制在日常生活活动中。这些常常与抑郁和焦虑并存，在越来越多的慢性疾病患者中，它们是常见的有害的共病。数字卫生干预措施有望克服这些人获得精神卫生支持的障碍;然而，慢性疾病患者抑郁和焦虑的DHIs的设计和实施还有待探索。目的:本研究旨在探索文献中关于DHIs在慢性疾病患者中预防、检测或治疗抑郁和焦虑的已知情况。方法:使用Arksey和O’malley框架对文献进行了范围审查。2019年4月对1990年至2019年期间在5个数据库中发表的文献进行了检索，并于2021年3月更新。为了纳入研究，研究必须描述DHI测试或设计用于患有常见慢性疾病(关节炎、哮喘、糖尿病、心脏病、慢性阻塞性肺病、癌症、中风和阿尔茨海默病或痴呆)的人的抑郁或焦虑的预防、检测或治疗。研究由2名审稿人根据纳入和排除标准进行独立筛选。 Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research. Results: Database searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI. Conclusions: As a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research. SN - 1438-8871 UR - //www.mybigtv.com/2022/9/e38030 UR - https://doi.org/10.2196/38030 UR - http://www.ncbi.nlm.nih.gov/pubmed/36155409 DO - 10.2196/38030 ID - info:doi/10.2196/38030 ER -