JMIR Publications

ABSTRACT

Background:

Suboptimal understanding of depression and mental health disorders by the general population is an important contributor to the wide treatment gap in depression. Mental health literacy encompasses knowledge and beliefs about mental disorders and supports their recognition, management, and prevention. Besides knowledge improvement, psychoeducational interventions reduce symptoms of depression, enhance help-seeking behavior, and decrease stigma. Mental health apps often offer educational content, but the trustworthiness of included information is unclear

Objective:

To systematically evaluate adherence to depression clinical guidelines of the information offered by mental health apps available in major commercial app stores.

Methods:

A systematic assessment of the educational content about depression in apps available in Google Play and Apple’s App Store was conducted in July 2020. A systematic search for apps published or updated since January 2019 was performed using 42matters. Apps meeting inclusion criteria were downloaded and assessed using an iPhone 7 (iOS 14.0.1) and a Sony XPERIA XZs (Android 8.0.0) smartphones. The 156 questions assessment checklist comprised general characteristics of apps, appraisal of educational content and its adherence to evidence-based clinical guidelines, and technical aspects and quality assurance. Results were tabulated and reported as a narrative review, using descriptive statistics.

Results:

The app search retrieved 2,218 apps of which 58 were included in the analysis (29 Android apps and 29 iOS apps). Thirty-seven apps (64%) offered educational content within a more comprehensive depression or mental health management app. Twelve apps (21%) provided non-evidence-based information. Most apps (51/58, 88%) included up to 20/38 educational topics assessed. Common educational topics were listing symptoms of depression (52/58, 90%) and available treatments (48/58, 83%), particularly psychotherapy. Depression-associated stigma was mentioned by 38% of apps, while suicide risk was mentioned by 71% of apps, generally as one item in a list of symptoms. Forty-four (76%) apps highlighted the importance of help-seeking, and 50% of apps emphasized the importance of involving the user’s support network. Thirty apps (52%) referenced their content and ten apps (17%) included advertisements.

Conclusions:

Information in mental health and depression apps is often brief and incomplete. One in five apps provided non-evidence-based information. Given the unmet needs and stigma associated with the disease, it is imperative that apps seize the opportunity to offer quality, evidence-based education and/or point the users to relevant resources. A multi-stakeholder consensus on a more stringent development and publication process for mental health apps is imperative.