University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Carolina Health Informatics Program, Chapel Hill, NC, USA.
AMIA Annu Symp Proc. 2021 Jan 25;2020:504-513. eCollection 2020.
We conducted a systematic literature review to assess how conversational agents have been used to facilitate chronic disease self-management. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework was used. Literature was searched across five databases, and we included full-text articles that contained primary research findings for text-based conversational agents focused on self-management for chronic diseases in adults. 1,606 studies were identified, and 12 met inclusion criteria. Outcomes were largely focused on usability of conversational agents, and participants mostly reported positive attitudes with some concerns related to privacy and shallow content. In several studies, there were improvements on the Patient Health Questionnaire (p<0.05), Generalized Anxiety Disorder Scale (p=0.004), Perceived Stress Scale (p=0.048), Flourishing Scale (p=0.032), and Overall Anxiety Severity and Impairment Scale (p<0.05). There is early evidence that suggests conversational agents are acceptable, usable, and may be effective in supporting self-management, particularly for mental health.
我们进行了系统的文献回顾，评估了对话代理在促进慢性病自我管理方面的应用。使用了系统评价和荟萃分析的首选报告项目（PRISMA）框架。文献在五个数据库中进行了搜索，我们纳入了全文文章，这些文章包含了针对成年人慢性病自我管理的基于文本的对话代理的主要研究结果。共确定了 1606 项研究，其中 12 项符合纳入标准。结果主要集中在对话代理的可用性上，参与者大多报告了积极的态度，但也存在一些与隐私和内容浅显相关的担忧。在几项研究中，患者健康问卷（p<0.05）、广泛性焦虑症量表（p=0.004）、感知压力量表（p=0.048）、繁荣量表（p=0.032）和整体焦虑严重程度和障碍量表（p<0.05）均有改善。有早期证据表明，对话代理是可以接受的、可用的，并且可能在支持自我管理方面是有效的，特别是在心理健康方面。
