Evaluating commercially available mobile apps for depression self-management Conference Paper


Authors: Myers, A.; Chesebrough, L.; Hu, R.; Turchioe, M. R.; Pathak, J.; Creber, R. M.
Title: Evaluating commercially available mobile apps for depression self-management
Conference Title: 2020 Annual Symposium of the American Medical Informatics Association (AMIA)
Abstract: Clinical depression affects 17.3 million adults in the U.S. However, 37% of these adults receive no treatment, and many symptoms remain unmanaged. Mobile health apps may complement in-person treatment and address barriers to treatment, yet their quality has not been systematically appraised. We conducted a systematic review of apps for depression by searching in three major app stores. Apps were selected using specific inclusion and exclusion criteria. The final apps were downloaded and independently evaluated using the Mobile Application Rating Scale (MARS), IMS Institute for Healthcare Informatics functionality score, and six features specific to depression self-management. Mobile health apps for depression self-management exhibit a wide range of quality, but more than half (74%) of the apps had acceptable quality, with 32% having MARS scores ≥ 4.0 out of 5.0. These high scoring apps indicate that mobile apps have the potential to improve patient self-management, treatment engagement, and mental health outcomes. ©2020 AMIA - All rights reserved.
Journal Title AMIA Annual Symposium. Proceedings
Volume: 2020
Conference Dates: 2020 Nov 14-18
Conference Location: Virtual
ISBN: 1559-4076
Publisher: American Medical Informatics Association  
Date Published: 2020-01-01
Start Page: 906
End Page: 914
Language: English
PUBMED: 33936466
PROVIDER: scopus
PMCID: PMC8075488
DOI/URL:
Notes: Article -- Export Date: 1 June 2021 -- Source: Scopus
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