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

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 ch...

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Autores principales: Abd-Alrazaq, Alaa A, Alajlani, Mohannad, Ali, Nashva, Denecke, Kerstin, Bewick, Bridgette M, Househ, Mowafa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840290/
https://www.ncbi.nlm.nih.gov/pubmed/33439133
http://dx.doi.org/10.2196/17828
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author Abd-Alrazaq, Alaa A
Alajlani, Mohannad
Ali, Nashva
Denecke, Kerstin
Bewick, Bridgette M
Househ, Mowafa
author_facet Abd-Alrazaq, Alaa A
Alajlani, Mohannad
Ali, Nashva
Denecke, Kerstin
Bewick, Bridgette M
Househ, Mowafa
author_sort Abd-Alrazaq, Alaa A
collection PubMed
description 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.
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spelling pubmed-78402902021-01-29 Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review Abd-Alrazaq, Alaa A Alajlani, Mohannad Ali, Nashva Denecke, Kerstin Bewick, Bridgette M Househ, Mowafa J Med Internet Res Review 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. JMIR Publications 2021-01-13 /pmc/articles/PMC7840290/ /pubmed/33439133 http://dx.doi.org/10.2196/17828 Text en ©Alaa A Abd-Alrazaq, Mohannad Alajlani, Nashva Ali, Kerstin Denecke, Bridgette M Bewick, Mowafa Househ. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Abd-Alrazaq, Alaa A
Alajlani, Mohannad
Ali, Nashva
Denecke, Kerstin
Bewick, Bridgette M
Househ, Mowafa
Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
title Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
title_full Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
title_fullStr Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
title_full_unstemmed Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
title_short Perceptions and Opinions of Patients About Mental Health Chatbots: Scoping Review
title_sort perceptions and opinions of patients about mental health chatbots: scoping review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840290/
https://www.ncbi.nlm.nih.gov/pubmed/33439133
http://dx.doi.org/10.2196/17828
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