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Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace

BACKGROUND: Depression is highly prevalent and causes considerable suffering and disease burden despite the existence of wide-ranging treatment options. Mobile phone apps offer the potential to help close this treatment gap by confronting key barriers to accessing support for depression. OBJECTIVES:...

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Autores principales: Shen, Nelson, Levitan, Michael-Jane, Johnson, Andrew, Bender, Jacqueline Lorene, Hamilton-Page, Michelle, Jadad, Alejandro (Alex) R, Wiljer, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376135/
https://www.ncbi.nlm.nih.gov/pubmed/25689790
http://dx.doi.org/10.2196/mhealth.3713
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author Shen, Nelson
Levitan, Michael-Jane
Johnson, Andrew
Bender, Jacqueline Lorene
Hamilton-Page, Michelle
Jadad, Alejandro (Alex) R
Wiljer, David
author_facet Shen, Nelson
Levitan, Michael-Jane
Johnson, Andrew
Bender, Jacqueline Lorene
Hamilton-Page, Michelle
Jadad, Alejandro (Alex) R
Wiljer, David
author_sort Shen, Nelson
collection PubMed
description BACKGROUND: Depression is highly prevalent and causes considerable suffering and disease burden despite the existence of wide-ranging treatment options. Mobile phone apps offer the potential to help close this treatment gap by confronting key barriers to accessing support for depression. OBJECTIVES: Our goal was to identify and characterize the different types of mobile phone depression apps available in the marketplace. METHODS: A search for depression apps was conducted on the app stores of the five major mobile phone platforms: Android, iPhone, BlackBerry, Nokia, and Windows. Apps were included if they focused on depression and were available to people who self-identify as having depression. Data were extracted from the app descriptions found in the app stores. RESULTS: Of the 1054 apps identified by the search strategy, nearly one-quarter (23.0%, 243/1054) unique depression apps met the inclusion criteria. Over one-quarter (27.7%, 210/758) of the excluded apps failed to mention depression in the title or description. Two-thirds of the apps had as their main purpose providing therapeutic treatment (33.7%, 82/243) or psychoeducation (32.1%, 78/243). The other main purpose categories were medical assessment (16.9%, 41/243), symptom management (8.2%, 20/243), and supportive resources (1.6%, 4/243). A majority of the apps failed to sufficiently describe their organizational affiliation (65.0%, 158/243) and content source (61.7%, 150/243). There was a significant relationship (χ (2) (5)=50.5, P<.001) between the main purpose of the app and the reporting of content source, with most medical assessment apps reporting their content source (80.5%, 33/41). A fifth of the apps featured an e-book (20.6%, 50/243), audio therapy (16.9%, 41/243), or screening (16.9%, 41/243) function. Most apps had a dynamic user interface (72.4%, 176/243) and used text as the main type of media (51.9%, 126/243), and over a third (14.4%, 35/243) incorporated more than one form of media. CONCLUSION: Without guidance, finding an appropriate depression app may be challenging, as the search results yielded non-depression–specific apps to depression apps at a 3:1 ratio. Inadequate reporting of organization affiliation and content source increases the difficulty of assessing the credibility and reliability of the app. While certification and vetting initiatives are underway, this study demonstrates the need for standardized reporting in app stores to help consumers select appropriate tools, particularly among those classified as medical devices.
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spelling pubmed-43761352015-04-02 Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace Shen, Nelson Levitan, Michael-Jane Johnson, Andrew Bender, Jacqueline Lorene Hamilton-Page, Michelle Jadad, Alejandro (Alex) R Wiljer, David JMIR Mhealth Uhealth Review BACKGROUND: Depression is highly prevalent and causes considerable suffering and disease burden despite the existence of wide-ranging treatment options. Mobile phone apps offer the potential to help close this treatment gap by confronting key barriers to accessing support for depression. OBJECTIVES: Our goal was to identify and characterize the different types of mobile phone depression apps available in the marketplace. METHODS: A search for depression apps was conducted on the app stores of the five major mobile phone platforms: Android, iPhone, BlackBerry, Nokia, and Windows. Apps were included if they focused on depression and were available to people who self-identify as having depression. Data were extracted from the app descriptions found in the app stores. RESULTS: Of the 1054 apps identified by the search strategy, nearly one-quarter (23.0%, 243/1054) unique depression apps met the inclusion criteria. Over one-quarter (27.7%, 210/758) of the excluded apps failed to mention depression in the title or description. Two-thirds of the apps had as their main purpose providing therapeutic treatment (33.7%, 82/243) or psychoeducation (32.1%, 78/243). The other main purpose categories were medical assessment (16.9%, 41/243), symptom management (8.2%, 20/243), and supportive resources (1.6%, 4/243). A majority of the apps failed to sufficiently describe their organizational affiliation (65.0%, 158/243) and content source (61.7%, 150/243). There was a significant relationship (χ (2) (5)=50.5, P<.001) between the main purpose of the app and the reporting of content source, with most medical assessment apps reporting their content source (80.5%, 33/41). A fifth of the apps featured an e-book (20.6%, 50/243), audio therapy (16.9%, 41/243), or screening (16.9%, 41/243) function. Most apps had a dynamic user interface (72.4%, 176/243) and used text as the main type of media (51.9%, 126/243), and over a third (14.4%, 35/243) incorporated more than one form of media. CONCLUSION: Without guidance, finding an appropriate depression app may be challenging, as the search results yielded non-depression–specific apps to depression apps at a 3:1 ratio. Inadequate reporting of organization affiliation and content source increases the difficulty of assessing the credibility and reliability of the app. While certification and vetting initiatives are underway, this study demonstrates the need for standardized reporting in app stores to help consumers select appropriate tools, particularly among those classified as medical devices. JMIR Publications Inc. 2015-02-16 /pmc/articles/PMC4376135/ /pubmed/25689790 http://dx.doi.org/10.2196/mhealth.3713 Text en ©Nelson Shen, Michael-Jane Levitan, Andrew Johnson, Jacqueline Lorene Bender, Michelle Hamilton-Page, Alejandro (Alex) R Jadad, David Wiljer. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 16.02.2015. http://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/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Review
Shen, Nelson
Levitan, Michael-Jane
Johnson, Andrew
Bender, Jacqueline Lorene
Hamilton-Page, Michelle
Jadad, Alejandro (Alex) R
Wiljer, David
Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
title Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
title_full Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
title_fullStr Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
title_full_unstemmed Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
title_short Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
title_sort finding a depression app: a review and content analysis of the depression app marketplace
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376135/
https://www.ncbi.nlm.nih.gov/pubmed/25689790
http://dx.doi.org/10.2196/mhealth.3713
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