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Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions

BACKGROUND: An increasing number of online support groups are providing advice and information on topics related to mental health. OBJECTIVE: This study aimed to investigate the needs that internet users meet through peer-to-peer interactions. METHODS: A search of 4 databases was performed until Aug...

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Autores principales: Storman, Dawid, Jemioło, Paweł, Swierz, Mateusz Jan, Sawiec, Zuzanna, Antonowicz, Ewa, Prokop-Dorner, Anna, Gotfryd-Burzyńska, Marcelina, Bala, Malgorzata M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788841/
https://www.ncbi.nlm.nih.gov/pubmed/36469366
http://dx.doi.org/10.2196/36056
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author Storman, Dawid
Jemioło, Paweł
Swierz, Mateusz Jan
Sawiec, Zuzanna
Antonowicz, Ewa
Prokop-Dorner, Anna
Gotfryd-Burzyńska, Marcelina
Bala, Malgorzata M
author_facet Storman, Dawid
Jemioło, Paweł
Swierz, Mateusz Jan
Sawiec, Zuzanna
Antonowicz, Ewa
Prokop-Dorner, Anna
Gotfryd-Burzyńska, Marcelina
Bala, Malgorzata M
author_sort Storman, Dawid
collection PubMed
description BACKGROUND: An increasing number of online support groups are providing advice and information on topics related to mental health. OBJECTIVE: This study aimed to investigate the needs that internet users meet through peer-to-peer interactions. METHODS: A search of 4 databases was performed until August 15, 2022. Qualitative or mixed methods (ie, qualitative and quantitative) studies investigating interactions among internet users with mental disorders were included. The φ coefficient was used and machine learning techniques were applied to investigate the associations between the type of mental disorders and web-based interactions linked to seeking help or support. RESULTS: Of the 13,098 identified records, 44 studies (analyzed in 54 study-disorder pairs) that assessed 82,091 users and 293,103 posts were included. The most frequent interactions were noted for people with eating disorders (14/54, 26%), depression (12/54, 22%), and psychoactive substance use disorders (9/54, 17%). We grouped interactions between users into 42 codes, with the empathy or compassion code being the most common (41/54, 76%). The most frequently coexisting codes were request for information and network (35 times; φ=0.5; P<.001). The algorithms that provided the best accuracy in classifying disorders by interactions were decision trees (44/54, 81%) and logistic regression (40/54, 74%). The included studies were of moderate quality. CONCLUSIONS: People with mental disorders mostly use the internet to seek support, find answers to their questions, and chat. The results of this analysis should be interpreted as a proof of concept. More data on web-based interactions among these people might help apply machine learning methods to develop a tool that might facilitate screening or even support mental health assessment.
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spelling pubmed-97888412022-12-24 Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions Storman, Dawid Jemioło, Paweł Swierz, Mateusz Jan Sawiec, Zuzanna Antonowicz, Ewa Prokop-Dorner, Anna Gotfryd-Burzyńska, Marcelina Bala, Malgorzata M JMIR Ment Health Review BACKGROUND: An increasing number of online support groups are providing advice and information on topics related to mental health. OBJECTIVE: This study aimed to investigate the needs that internet users meet through peer-to-peer interactions. METHODS: A search of 4 databases was performed until August 15, 2022. Qualitative or mixed methods (ie, qualitative and quantitative) studies investigating interactions among internet users with mental disorders were included. The φ coefficient was used and machine learning techniques were applied to investigate the associations between the type of mental disorders and web-based interactions linked to seeking help or support. RESULTS: Of the 13,098 identified records, 44 studies (analyzed in 54 study-disorder pairs) that assessed 82,091 users and 293,103 posts were included. The most frequent interactions were noted for people with eating disorders (14/54, 26%), depression (12/54, 22%), and psychoactive substance use disorders (9/54, 17%). We grouped interactions between users into 42 codes, with the empathy or compassion code being the most common (41/54, 76%). The most frequently coexisting codes were request for information and network (35 times; φ=0.5; P<.001). The algorithms that provided the best accuracy in classifying disorders by interactions were decision trees (44/54, 81%) and logistic regression (40/54, 74%). The included studies were of moderate quality. CONCLUSIONS: People with mental disorders mostly use the internet to seek support, find answers to their questions, and chat. The results of this analysis should be interpreted as a proof of concept. More data on web-based interactions among these people might help apply machine learning methods to develop a tool that might facilitate screening or even support mental health assessment. JMIR Publications 2022-12-05 /pmc/articles/PMC9788841/ /pubmed/36469366 http://dx.doi.org/10.2196/36056 Text en ©Dawid Storman, Paweł Jemioło, Mateusz Jan Swierz, Zuzanna Sawiec, Ewa Antonowicz, Anna Prokop-Dorner, Marcelina Gotfryd-Burzyńska, Malgorzata M Bala. Originally published in JMIR Mental Health (https://mental.jmir.org), 05.12.2022. 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 JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Storman, Dawid
Jemioło, Paweł
Swierz, Mateusz Jan
Sawiec, Zuzanna
Antonowicz, Ewa
Prokop-Dorner, Anna
Gotfryd-Burzyńska, Marcelina
Bala, Malgorzata M
Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
title Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
title_full Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
title_fullStr Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
title_full_unstemmed Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
title_short Meeting the Unmet Needs of Individuals With Mental Disorders: Scoping Review on Peer-to-Peer Web-Based Interactions
title_sort meeting the unmet needs of individuals with mental disorders: scoping review on peer-to-peer web-based interactions
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9788841/
https://www.ncbi.nlm.nih.gov/pubmed/36469366
http://dx.doi.org/10.2196/36056
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