Chatbot‐Delivered Interventions for Improving Mental Health Among Young People: A Systematic Review and Meta‐Analysis.
Background: The characteristics, application, and effectiveness of chatbots in improving the mental health of young people have yet to be confirmed through systematic review and meta‐analysis. Aim: This systematic review aims to evaluate the effectiveness of chatbot‐delivered interventions for impro...
| Published in: | Worldviews on Evidence-Based Nursing (John Wiley & Sons, Inc.) Vol. 22; no. 4; pp. 1 - 12 |
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| Main Authors: | , , , , , , |
| Format: | research systematic review tables/charts Journal Article |
| Published: |
John Wiley & Sons, Inc.
Aug2025
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187617560&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187617560 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17416787 NRNX jtl: Worldviews on Evidence-Based Nursing (John Wiley & Sons, Inc.) issn: 17416787 maglogo: N pubinfo: dt: Aug2025 vid: 22 iid: 4 pid: 52269 pub: John Wiley & Sons, Inc. artinfo: ui: 187617560 187617560 187617560 10.1111/wvn.70059 187617560 ppf: 1 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Chatbot‐Delivered Interventions for Improving Mental Health Among Young People: A Systematic Review and Meta‐Analysis. aug: au: Li, Jiaying Li, Yan Hu, Yule Ma, Dennis Chak Fai Mei, Xiaoxiao Chan, Engle Angela Yorke, Janelle affil: School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong sug: subj: Mental Disorders Therapy Mental Health Evaluation Chatbot Health Care Delivery Quality of Health Care Quality Improvement Psychological Well-Being Human Systematic Review Meta Analysis Male Female Child Adolescence Adult Embase PubMed Cochrane Library Psycinfo World Wide Web Confidence Intervals Odds Ratio Descriptive Statistics Psychological Distress Prevention and Control Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Male Female ab: Background: The characteristics, application, and effectiveness of chatbots in improving the mental health of young people have yet to be confirmed through systematic review and meta‐analysis. Aim: This systematic review aims to evaluate the effectiveness of chatbot‐delivered interventions for improving mental health among young people, identify factors influencing effectiveness, and examine feasibility and acceptability. Methods: To identify eligible interventional studies, we systematically searched 11 databases and search engines covering a publication period of January 2014 to September 2024. Meta‐analyses and subgroup analyses were performed on randomized controlled trials to investigate the effectiveness of chatbot‐delivered interventions and potential influencing factors. Narrative syntheses were conducted to summarize the feasibility and acceptability of these interventions in all the included studies. Results: We identified 29 eligible interventional studies, 13 of which were randomized controlled trials. The meta‐analysis indicated that chatbot‐delivered interventions significantly reduced distress (Hedge's g = −0.28, 95% CI [−0.46, −0.10]), but did not have a significant effect on psychological well‐being (Hedge's g = 0.13, 95% CI [−0.16, 0.41]). The observed treatment effects were influenced by factors including sample type, delivery platform, interaction mode, and response generation approach. Overall, this review demonstrates that chatbot‐delivered interventions were feasible and acceptable. Linking Evidence to Action: This review demonstrated that chatbot‐delivered interventions had positive effects on psychological distress among young people. Chatbot‐delivered interventions have the potential to supplement existing mental health services provided by multidisciplinary healthcare professionals. Future recommendations include using instant messenger platforms for delivery, enhancing chatbots with multiple communication methods to improve interaction quality, and refining language processing, accuracy, privacy, and security measures. pubtype: Academic Journal doctype: meta analysis research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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