基于聊天机器人的干预对亚洲普通人群心理健康的有效性:随机对照试验的系统回顾和荟萃分析方案。

IF 4.1 Q1 HEALTH CARE SCIENCES & SERVICES BMJ Health & Care Informatics Pub Date : 2024-12-07 DOI:10.1136/bmjhci-2024-101148
Wilson Leung, Simon Ching Lam, Fowie Ng, Calvin Chi Kong Yip, Chi-Keung Chan
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引用次数: 0

摘要

在亚洲国家,对精神疾病的污名化和人力短缺是阻碍人们接受治疗的两大挑战。聊天机器人肯定可以帮助人们克服污名化和人力短缺的挑战。由于缺乏亚洲背景下的全面审查,本系统审查将评估聊天机器人干预对亚洲普通人群心理健康的影响。方法与分析:检索四个电子数据库(PubMed, CINAHL, PsycINFO和MEDLINE)至2024年12月。纳入随机对照试验,并提供中英文全文。随机效应模型将用于meta分析。各研究的偏倚风险(RoB)和证据确定性将分别使用Cochrane RoB2和分级推荐评估、发展和评估工具进行评估。伦理和传播:本研究不需要伦理批准。研究结果将通过同行评议的出版物进行传播。基金资助:东华书院校级研究资助(2023-04-52-SRG230401)普洛斯普洛斯注册号:CRD42024546316。
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Effectiveness of chatbot-based interventions on mental well-being of the general population in Asia: protocol for a systematic review and meta-analysis of randomised controlled trials.

Introduction: In Asian countries, stigma against psychiatric disorders and shortage of manpower are the two major challenges that hinder people from receiving treatments. Chatbots can surely help people surpass the stigmatising and manpower shortage challenges. Since a comprehensive review in the Asian context is lacking, this systematic review will evaluate the effects of chatbot interventions on the mental well-being of the general population in Asia.

Methods and analysis: Four electronic databases (PubMed, CINAHL, PsycINFO and MEDLINE) will be searched until December 2024. Randomised controlled trials with English/Chinese full text available will be included. Random-effect models will be used for meta-analyses. The risk of bias (RoB) and certainty of evidence across studies will be assessed using the Cochrane RoB2 and Grading of Recommendation Assessment, Development and Evaluation tools, respectively.

Ethics and dissemination: This study will not require ethical approval. The findings will be disseminated through peer-reviewed publications.

Funding: School Research Grant of the Tung Wah College (2023-04-52-SRG230401) PROSPERO REGISTRATION NUMBER: CRD42024546316.

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来源期刊
CiteScore
6.10
自引率
4.90%
发文量
40
审稿时长
18 weeks
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