This paper is in the following e-collection/theme issue:

Digital Health Reviews (1723) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (637) Web-based and Mobile Health Interventions (4013) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2109) Innovations in Mental Health Systems (484) Reviews in Digital Mental Health (289) Chatbots and Conversational Agents (740) Generative Language Models Including ChatGPT (707)

Published on in Vol 26 (2024)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48168, first published .
Attrition in Conversational Agent–Delivered Mental Health Interventions: Systematic Review and Meta-Analysis

Attrition in Conversational Agent–Delivered Mental Health Interventions: Systematic Review and Meta-Analysis

Attrition in Conversational Agent–Delivered Mental Health Interventions: Systematic Review and Meta-Analysis

Authors of this article:

Ahmad Ishqi Jabir1, 2 Author Orcid Image ;   Xiaowen Lin1 Author Orcid Image ;   Laura Martinengo1 Author Orcid Image ;   Gemma Sharp3 Author Orcid Image ;   Yin-Leng Theng4 Author Orcid Image ;   Lorainne Tudor Car1, 5 Author Orcid Image
Article Authors Cited by (24) Tweetations (9) Metrics

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  21. Du Q, Ren Y, Meng Z, He H, Meng S. The Efficacy of Rule-based Versus LLM-based Chatbots in Alleviating Symptoms of Depression and Anxiety: A Systematic Review and Meta-Analysis (Preprint). Journal of Medical Internet Research 2025 View
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