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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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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. |
format | Online Article Text |
id | pubmed-7840290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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