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An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study
BACKGROUND: The collaborative care model is a well-established system of behavioral health care within primary care settings. There is potential for mobile health (mHealth) technology to augment collaborative behavioral health care in primary care settings, thereby improving scalability, efficiency,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288094/ https://www.ncbi.nlm.nih.gov/pubmed/35776491 http://dx.doi.org/10.2196/36021 |
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author | Moon, Khatiya Chelidze Sobolev, Michael Grella, Megan Alvarado, George Sapra, Manish Ball, Trever |
author_facet | Moon, Khatiya Chelidze Sobolev, Michael Grella, Megan Alvarado, George Sapra, Manish Ball, Trever |
author_sort | Moon, Khatiya Chelidze |
collection | PubMed |
description | BACKGROUND: The collaborative care model is a well-established system of behavioral health care within primary care settings. There is potential for mobile health (mHealth) technology to augment collaborative behavioral health care in primary care settings, thereby improving scalability, efficiency, and clinical outcomes. OBJECTIVE: We aimed to assess the feasibility of engaging with and the preliminary clinical outcomes of an mHealth platform that was used to augment an existing collaborative care program in primary care settings. METHODS: We performed a longitudinal, single-arm feasibility study of an mHealth platform that was used to augment collaborative care. A total of 3 behavioral health care managers, who were responsible for coordinating disease management in 6 primary care practices, encouraged participants to use a mobile app to augment the collaborative model of behavioral health care. The mHealth platform’s functions included asynchronous chats with the behavioral health care managers, depression self-report assessments, and psychoeducational content. The primary outcome was the feasibility of engagement, which was based on the number and type of participant-generated actions that were completed in the app. The primary clinical end point was a comparison of the baseline and final assessments of the Patient Health Questionnaire-9. RESULTS: Of the 245 individuals who were referred by their primary care provider for behavioral health services, 89 (36.3%) consented to app-augmented behavioral health care. Only 12% (11/89) never engaged with the app during the study period. Across all participants, we observed a median engagement of 7 (IQR 12; mean 10.4; range 0-130) actions in the app (participants: n=78). The chat function was the most popular, followed by psychoeducational content and assessments. The subgroup analysis revealed no significant differences in app usage by age (P=.42) or sex (P=.84). The clinical improvement rate in our sample was 73% (32/44), although follow-up assessments were only available for 49% (44/89) of participants. CONCLUSIONS: Our preliminary findings indicate the moderate feasibility of using mHealth technology to augment behavioral health care in primary care settings. The results of this study are applicable to improving the design and implementation of mobile apps in collaborative care. |
format | Online Article Text |
id | pubmed-9288094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-92880942022-07-17 An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study Moon, Khatiya Chelidze Sobolev, Michael Grella, Megan Alvarado, George Sapra, Manish Ball, Trever JMIR Form Res Original Paper BACKGROUND: The collaborative care model is a well-established system of behavioral health care within primary care settings. There is potential for mobile health (mHealth) technology to augment collaborative behavioral health care in primary care settings, thereby improving scalability, efficiency, and clinical outcomes. OBJECTIVE: We aimed to assess the feasibility of engaging with and the preliminary clinical outcomes of an mHealth platform that was used to augment an existing collaborative care program in primary care settings. METHODS: We performed a longitudinal, single-arm feasibility study of an mHealth platform that was used to augment collaborative care. A total of 3 behavioral health care managers, who were responsible for coordinating disease management in 6 primary care practices, encouraged participants to use a mobile app to augment the collaborative model of behavioral health care. The mHealth platform’s functions included asynchronous chats with the behavioral health care managers, depression self-report assessments, and psychoeducational content. The primary outcome was the feasibility of engagement, which was based on the number and type of participant-generated actions that were completed in the app. The primary clinical end point was a comparison of the baseline and final assessments of the Patient Health Questionnaire-9. RESULTS: Of the 245 individuals who were referred by their primary care provider for behavioral health services, 89 (36.3%) consented to app-augmented behavioral health care. Only 12% (11/89) never engaged with the app during the study period. Across all participants, we observed a median engagement of 7 (IQR 12; mean 10.4; range 0-130) actions in the app (participants: n=78). The chat function was the most popular, followed by psychoeducational content and assessments. The subgroup analysis revealed no significant differences in app usage by age (P=.42) or sex (P=.84). The clinical improvement rate in our sample was 73% (32/44), although follow-up assessments were only available for 49% (44/89) of participants. CONCLUSIONS: Our preliminary findings indicate the moderate feasibility of using mHealth technology to augment behavioral health care in primary care settings. The results of this study are applicable to improving the design and implementation of mobile apps in collaborative care. JMIR Publications 2022-07-01 /pmc/articles/PMC9288094/ /pubmed/35776491 http://dx.doi.org/10.2196/36021 Text en ©Khatiya Chelidze Moon, Michael Sobolev, Megan Grella, George Alvarado, Manish Sapra, Trever Ball. Originally published in JMIR Formative Research (https://formative.jmir.org), 01.07.2022. 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 Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Moon, Khatiya Chelidze Sobolev, Michael Grella, Megan Alvarado, George Sapra, Manish Ball, Trever An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study |
title | An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study |
title_full | An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study |
title_fullStr | An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study |
title_full_unstemmed | An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study |
title_short | An mHealth Platform for Augmenting Behavioral Health in Primary Care: Longitudinal Feasibility Study |
title_sort | mhealth platform for augmenting behavioral health in primary care: longitudinal feasibility study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9288094/ https://www.ncbi.nlm.nih.gov/pubmed/35776491 http://dx.doi.org/10.2196/36021 |
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