Cargando…

Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study

BACKGROUND: Advances in mobile health (mHealth) technology have made it possible for patients and health care providers to monitor and track behavioral health symptoms in real time. Ideally, mHealth apps include both passive and interactive monitoring and demonstrate high levels of patient engagemen...

Descripción completa

Detalles Bibliográficos
Autores principales: Betthauser, Lisa M, Stearns-Yoder, Kelly A, McGarity, Suzanne, Smith, Victoria, Place, Skyler, Brenner, Lisa A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448171/
https://www.ncbi.nlm.nih.gov/pubmed/32779572
http://dx.doi.org/10.2196/15506
_version_ 1783574448086974464
author Betthauser, Lisa M
Stearns-Yoder, Kelly A
McGarity, Suzanne
Smith, Victoria
Place, Skyler
Brenner, Lisa A
author_facet Betthauser, Lisa M
Stearns-Yoder, Kelly A
McGarity, Suzanne
Smith, Victoria
Place, Skyler
Brenner, Lisa A
author_sort Betthauser, Lisa M
collection PubMed
description BACKGROUND: Advances in mobile health (mHealth) technology have made it possible for patients and health care providers to monitor and track behavioral health symptoms in real time. Ideally, mHealth apps include both passive and interactive monitoring and demonstrate high levels of patient engagement. Digital phenotyping, the measurement of individual technology usage, provides insight into individual behaviors associated with mental health. OBJECTIVE: Researchers at a Veterans Affairs Medical Center and Cogito Corporation sought to explore the feasibility and acceptability of an mHealth app, the Cogito Companion. METHODS: A mixed methodological approach was used to investigate the feasibility and acceptability of the app. Veterans completed clinical interviews and self-report measures, at baseline and at a 3-month follow-up. During the data collection period, participants were provided access to the Cogito Companion smartphone app. The mobile app gathered passive and active behavioral health indicators. Data collected (eg, vocal features and digital phenotyping of everyday social signals) are analyzed in real time. Passive data collected include location via global positioning system (GPS), phone calls, and SMS text message metadata. Four primary model scores were identified as being predictive of the presence or absence of depression or posttraumatic stress disorder (PTSD). Veterans Affairs clinicians monitored a provider dashboard and conducted clinical outreach when indicated. RESULTS: Findings suggest that use of the Cogito Companion app was feasible and acceptable. Veterans (n=83) were interested in and used the app; however, active use declined over time. Nonetheless, data were passively collected, and outreach occurred throughout the study period. On the Client Satisfaction Questionnaire–8, 79% (53/67) of the sample reported scores demonstrating acceptability of the app (mean 26.2, SD 4.3). Many veterans reported liking specific app features (day-to-day monitoring) and the sense of connection they felt with the study clinicians who conducted outreach. Only a small percentage (4/67, 6%) reported concerns regarding personal privacy. CONCLUSIONS: Feasibility and acceptability of the Cogito Corporation platform to monitor mental health symptoms, behaviors, and facilitate follow-up in a sample of veterans were supported. Clinically, platforms such as the Cogito Companion system may serve as useful methods to promote monitoring, thereby facilitating early identification of risk and mitigating negative psychiatric outcomes, such as suicide.
format Online
Article
Text
id pubmed-7448171
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-74481712020-08-31 Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study Betthauser, Lisa M Stearns-Yoder, Kelly A McGarity, Suzanne Smith, Victoria Place, Skyler Brenner, Lisa A J Med Internet Res Original Paper BACKGROUND: Advances in mobile health (mHealth) technology have made it possible for patients and health care providers to monitor and track behavioral health symptoms in real time. Ideally, mHealth apps include both passive and interactive monitoring and demonstrate high levels of patient engagement. Digital phenotyping, the measurement of individual technology usage, provides insight into individual behaviors associated with mental health. OBJECTIVE: Researchers at a Veterans Affairs Medical Center and Cogito Corporation sought to explore the feasibility and acceptability of an mHealth app, the Cogito Companion. METHODS: A mixed methodological approach was used to investigate the feasibility and acceptability of the app. Veterans completed clinical interviews and self-report measures, at baseline and at a 3-month follow-up. During the data collection period, participants were provided access to the Cogito Companion smartphone app. The mobile app gathered passive and active behavioral health indicators. Data collected (eg, vocal features and digital phenotyping of everyday social signals) are analyzed in real time. Passive data collected include location via global positioning system (GPS), phone calls, and SMS text message metadata. Four primary model scores were identified as being predictive of the presence or absence of depression or posttraumatic stress disorder (PTSD). Veterans Affairs clinicians monitored a provider dashboard and conducted clinical outreach when indicated. RESULTS: Findings suggest that use of the Cogito Companion app was feasible and acceptable. Veterans (n=83) were interested in and used the app; however, active use declined over time. Nonetheless, data were passively collected, and outreach occurred throughout the study period. On the Client Satisfaction Questionnaire–8, 79% (53/67) of the sample reported scores demonstrating acceptability of the app (mean 26.2, SD 4.3). Many veterans reported liking specific app features (day-to-day monitoring) and the sense of connection they felt with the study clinicians who conducted outreach. Only a small percentage (4/67, 6%) reported concerns regarding personal privacy. CONCLUSIONS: Feasibility and acceptability of the Cogito Corporation platform to monitor mental health symptoms, behaviors, and facilitate follow-up in a sample of veterans were supported. Clinically, platforms such as the Cogito Companion system may serve as useful methods to promote monitoring, thereby facilitating early identification of risk and mitigating negative psychiatric outcomes, such as suicide. JMIR Publications 2020-08-11 /pmc/articles/PMC7448171/ /pubmed/32779572 http://dx.doi.org/10.2196/15506 Text en ©Lisa M Betthauser, Kelly A Stearns-Yoder, Suzanne McGarity, Victoria Smith, Skyler Place, Lisa A Brenner. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 11.08.2020. 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 Original Paper
Betthauser, Lisa M
Stearns-Yoder, Kelly A
McGarity, Suzanne
Smith, Victoria
Place, Skyler
Brenner, Lisa A
Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
title Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
title_full Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
title_fullStr Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
title_full_unstemmed Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
title_short Mobile App for Mental Health Monitoring and Clinical Outreach in Veterans: Mixed Methods Feasibility and Acceptability Study
title_sort mobile app for mental health monitoring and clinical outreach in veterans: mixed methods feasibility and acceptability study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448171/
https://www.ncbi.nlm.nih.gov/pubmed/32779572
http://dx.doi.org/10.2196/15506
work_keys_str_mv AT betthauserlisam mobileappformentalhealthmonitoringandclinicaloutreachinveteransmixedmethodsfeasibilityandacceptabilitystudy
AT stearnsyoderkellya mobileappformentalhealthmonitoringandclinicaloutreachinveteransmixedmethodsfeasibilityandacceptabilitystudy
AT mcgaritysuzanne mobileappformentalhealthmonitoringandclinicaloutreachinveteransmixedmethodsfeasibilityandacceptabilitystudy
AT smithvictoria mobileappformentalhealthmonitoringandclinicaloutreachinveteransmixedmethodsfeasibilityandacceptabilitystudy
AT placeskyler mobileappformentalhealthmonitoringandclinicaloutreachinveteransmixedmethodsfeasibilityandacceptabilitystudy
AT brennerlisaa mobileappformentalhealthmonitoringandclinicaloutreachinveteransmixedmethodsfeasibilityandacceptabilitystudy