Effectiveness of chatbots in increasing uptake, intention, and attitudes related to any type of vaccination: A systematic review and meta-analysis.

IF 3.8 2区心理学 Q1 PSYCHOLOGY, APPLIED

Applied psychology. Health and well-being Pub Date : 2024-11-01 Epub Date: 2024-06-17 DOI:10.1111/aphw.12564

Paul Shing-Fong Chan, Yuan Fang, Doug H Cheung, Qingpeng Zhang, Fenghua Sun, Phoenix K H Mo, Zixin Wang

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引用次数: 0

Abstract

This systematic review and meta-analysis analyzed and summarized the growing literature on the effectiveness of chatbot-delivered interventions in increasing uptake, intention, and attitudes related to any type of vaccination. We identified randomized controlled studies (RCTs), quasi-experimental studies, and non-experimental studies from the following platforms: PubMed, Web of Science, MEDLINE, Global Health, APA PsycInfo, and EMBASE databases. A total of 12 eligible studies published from 2019 to 2023 were analyzed and summarized. In particular, one RCT showed that a chatbot-delivered tailored intervention was more effective than a chatbot-delivered non-tailored intervention in promoting seasonal influenza vaccine uptake among older adults (50.5% versus 35.3%, p = 0.002). Six RCTs were included in the meta-analysis to evaluate the effectiveness of chatbot interventions to improve vaccination attitudes and intentions. The pooled standard mean difference (SMD) of overall attitude change was 0.34 (95% confidence intervals [CI]: 0.13, 0.55, p = 0.001). We found a non-significant trivial effect of chatbot interventions on improving intentions of vaccination (SMD: 0.11, 95% CI: -0.13, 0.34, p = 0.38). However, further evidence is needed to draw a more precise conclusion. Additionally, study participants reported high satisfaction levels of using the chatbot and were likely to recommend it to others. The development of chatbots is still nascent and rooms for improvement exist.

查看原文本刊更多论文

聊天机器人在提高与任何类型疫苗接种相关的接种率、意向和态度方面的有效性：系统回顾与荟萃分析。

本系统综述和荟萃分析分析并总结了越来越多的文献，这些文献涉及聊天机器人提供的干预措施在提高与任何类型疫苗接种相关的接种率、意向和态度方面的有效性。我们从以下平台确定了随机对照研究（RCT）、准实验研究和非实验研究：PubMed、Web of Science、MEDLINE、Global Health、APA PsycInfo 和 EMBASE 数据库。共对 2019 年至 2023 年间发表的 12 项符合条件的研究进行了分析和总结。其中，一项研究表明，在促进老年人接种季节性流感疫苗方面，聊天机器人提供的定制干预比聊天机器人提供的非定制干预更有效（50.5% 对 35.3%，p = 0.002）。荟萃分析纳入了六项研究实验，以评估聊天机器人干预对改善疫苗接种态度和意愿的有效性。总体态度变化的汇总标准平均差 (SMD) 为 0.34（95% 置信区间 [CI]：0.13, 0.55，p = 0.001）。我们发现聊天机器人干预对改善疫苗接种意向有非显著的微小影响（SMD：0.11，95% 置信区间[CI]：-0.13，0.34，p = 0.38）。然而，要得出更准确的结论，还需要进一步的证据。此外，研究参与者对使用聊天机器人的满意度很高，并有可能将其推荐给其他人。聊天机器人的发展仍处于初级阶段，仍有改进的余地。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied psychology. Health and well-being PSYCHOLOGY, APPLIED-

CiteScore

12.10

自引率

2.90%

发文量

期刊介绍： Applied Psychology: Health and Well-Being is a triannual peer-reviewed academic journal published by Wiley-Blackwell on behalf of the International Association of Applied Psychology. It was established in 2009 and covers applied psychology topics such as clinical psychology, counseling, cross-cultural psychology, and environmental psychology.