Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review

Author:

Abd-Alrazaq Alaa AORCID,Alajlani MohannadORCID,Ali NashvaORCID,Denecke KerstinORCID,Bewick Bridgette MORCID,Househ MowafaORCID

Abstract

Background Chatbots have been used in the last decade to improve access to mental health care services. Perceptions and opinions of patients influence the adoption of chatbots for health care. Many studies have been conducted to assess the perceptions and opinions of patients about mental health chatbots. To the best of our knowledge, there has been no review of the evidence surrounding perceptions and opinions of patients about mental health chatbots. Objective This study aims to conduct a scoping review of the perceptions and opinions of patients about chatbots for mental health. Methods The scoping review was carried out in line with the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) extension for scoping reviews guidelines. Studies were identified by searching 8 electronic databases (eg, MEDLINE and Embase) in addition to conducting backward and forward reference list checking of the included studies and relevant reviews. In total, 2 reviewers independently selected studies and extracted data from the included studies. Data were synthesized using thematic analysis. Results Of 1072 citations retrieved, 37 unique studies were included in the review. The thematic analysis generated 10 themes from the findings of the studies: usefulness, ease of use, responsiveness, understandability, acceptability, attractiveness, trustworthiness, enjoyability, content, and comparisons. Conclusions The results demonstrated overall positive perceptions and opinions of patients about chatbots for mental health. Important issues to be addressed in the future are the linguistic capabilities of the chatbots: they have to be able to deal adequately with unexpected user input, provide high-quality responses, and have to show high variability in responses. To be useful for clinical practice, we have to find ways to harmonize chatbot content with individual treatment recommendations, that is, a personalization of chatbot conversations is required.

Publisher

JMIR Publications Inc.

Subject

Health Informatics

Cited by 108 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Feasibility, usability, and acceptability of MobileCoach-Teen: A smartphone app-based preventative intervention for risky adolescent drinking behavior;Journal of Substance Use and Addiction Treatment;2024-04

2. Etkileşimli Robotlar: Terapi Robotları;Psikiyatride Güncel Yaklaşımlar;2024-03-31

3. Conversational Agents in Healthcare: A Variability Perspective;Proceedings of the 18th International Working Conference on Variability Modelling of Software-Intensive Systems;2024-02-07

4. Roles, Users, Benefits and Limitations of Chatbots in Healthcare: Rapid Review (Preprint);2024-02-02

5. Loneliness and suicide mitigation for students using GPT3-enabled chatbots;npj Mental Health Research;2024-01-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3