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The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial

BACKGROUND: Mobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes. OBJECTIVE: The objective of our study was to docum...

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Autores principales: Arean, Patricia A, Hallgren, Kevin A, Jordan, Joshua T, Gazzaley, Adam, Atkins, David C, Heagerty, Patrick J, Anguera, Joaquin A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209607/
https://www.ncbi.nlm.nih.gov/pubmed/27998876
http://dx.doi.org/10.2196/jmir.6482
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author Arean, Patricia A
Hallgren, Kevin A
Jordan, Joshua T
Gazzaley, Adam
Atkins, David C
Heagerty, Patrick J
Anguera, Joaquin A
author_facet Arean, Patricia A
Hallgren, Kevin A
Jordan, Joshua T
Gazzaley, Adam
Atkins, David C
Heagerty, Patrick J
Anguera, Joaquin A
author_sort Arean, Patricia A
collection PubMed
description BACKGROUND: Mobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes. OBJECTIVE: The objective of our study was to document and compare use patterns and clinical outcomes across the United States between 3 different self-guided mobile apps for depression. METHODS: Participants were recruited through Web-based advertisements and social media and were randomly assigned to 1 of 3 mood apps. Treatment and assessment were conducted remotely on each participant’s smartphone or tablet with minimal contact with study staff. We enrolled 626 English-speaking adults (≥18 years old) with mild to moderate depression as determined by a 9-item Patient Health Questionnaire (PHQ-9) score ≥5, or if their score on item 10 was ≥2. The apps were (1) Project: EVO, a cognitive training app theorized to mitigate depressive symptoms by improving cognitive control, (2) iPST, an app based on an evidence-based psychotherapy for depression, and (3) Health Tips, a treatment control. Outcomes were scores on the PHQ-9 and the Sheehan Disability Scale. Adherence to treatment was measured as number of times participants opened and used the apps as instructed. RESULTS: We randomly assigned 211 participants to iPST, 209 to Project: EVO, and 206 to Health Tips. Among the participants, 77.0% (482/626) had a PHQ-9 score >10 (moderately depressed). Among the participants using the 2 active apps, 57.9% (243/420) did not download their assigned intervention app but did not differ demographically from those who did. Differential treatment effects were present in participants with baseline PHQ-9 score >10, with the cognitive training and problem-solving apps resulting in greater effects on mood than the information control app (χ22=6.46, P=.04). CONCLUSIONS: Mobile apps for depression appear to have their greatest impact on people with more moderate levels of depression. In particular, an app that is designed to engage cognitive correlates of depression had the strongest effect on depressed mood in this sample. This study suggests that mobile apps reach many people and are useful for more moderate levels of depression. CLINICALTRIAL: Clinicaltrials.gov NCT00540865; https://www.clinicaltrials.gov/ct2/show/NCT00540865 (Archived by WebCite at http://www.webcitation.org/6mj8IPqQr)
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spelling pubmed-52096072017-01-17 The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial Arean, Patricia A Hallgren, Kevin A Jordan, Joshua T Gazzaley, Adam Atkins, David C Heagerty, Patrick J Anguera, Joaquin A J Med Internet Res Original Paper BACKGROUND: Mobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes. OBJECTIVE: The objective of our study was to document and compare use patterns and clinical outcomes across the United States between 3 different self-guided mobile apps for depression. METHODS: Participants were recruited through Web-based advertisements and social media and were randomly assigned to 1 of 3 mood apps. Treatment and assessment were conducted remotely on each participant’s smartphone or tablet with minimal contact with study staff. We enrolled 626 English-speaking adults (≥18 years old) with mild to moderate depression as determined by a 9-item Patient Health Questionnaire (PHQ-9) score ≥5, or if their score on item 10 was ≥2. The apps were (1) Project: EVO, a cognitive training app theorized to mitigate depressive symptoms by improving cognitive control, (2) iPST, an app based on an evidence-based psychotherapy for depression, and (3) Health Tips, a treatment control. Outcomes were scores on the PHQ-9 and the Sheehan Disability Scale. Adherence to treatment was measured as number of times participants opened and used the apps as instructed. RESULTS: We randomly assigned 211 participants to iPST, 209 to Project: EVO, and 206 to Health Tips. Among the participants, 77.0% (482/626) had a PHQ-9 score >10 (moderately depressed). Among the participants using the 2 active apps, 57.9% (243/420) did not download their assigned intervention app but did not differ demographically from those who did. Differential treatment effects were present in participants with baseline PHQ-9 score >10, with the cognitive training and problem-solving apps resulting in greater effects on mood than the information control app (χ22=6.46, P=.04). CONCLUSIONS: Mobile apps for depression appear to have their greatest impact on people with more moderate levels of depression. In particular, an app that is designed to engage cognitive correlates of depression had the strongest effect on depressed mood in this sample. This study suggests that mobile apps reach many people and are useful for more moderate levels of depression. CLINICALTRIAL: Clinicaltrials.gov NCT00540865; https://www.clinicaltrials.gov/ct2/show/NCT00540865 (Archived by WebCite at http://www.webcitation.org/6mj8IPqQr) JMIR Publications 2016-12-20 /pmc/articles/PMC5209607/ /pubmed/27998876 http://dx.doi.org/10.2196/jmir.6482 Text en ©Patricia A Arean, Kevin A Hallgren, Joshua T Jordan, Adam Gazzaley, David C Atkins, Patrick J Heagerty, Joaquin A Anguera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 20.12.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), 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
Arean, Patricia A
Hallgren, Kevin A
Jordan, Joshua T
Gazzaley, Adam
Atkins, David C
Heagerty, Patrick J
Anguera, Joaquin A
The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
title The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
title_full The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
title_fullStr The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
title_full_unstemmed The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
title_short The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial
title_sort use and effectiveness of mobile apps for depression: results from a fully remote clinical trial
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209607/
https://www.ncbi.nlm.nih.gov/pubmed/27998876
http://dx.doi.org/10.2196/jmir.6482
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