4.5 Article

Investigating Popular Mental Health Mobile Application Downloads and Activity During the COVID-19 Pandemic

期刊

HUMAN FACTORS
卷 65, 期 1, 页码 50-61

出版社

SAGE PUBLICATIONS INC
DOI: 10.1177/0018720821998110

关键词

mobile health (mHealth); mental health; mobile apps; COVID-19; Mobile Health Rating Scale (MARS)

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This study analyzes the changes in downloads and activity of popular mental health mobile applications during COVID-19. It finds that meditation apps saw increased downloads after the pandemic started. While these apps perform well in terms of functionality and aesthetics, they lack clinical grounding and evidence base.
Objective This article analyzes the changes in downloads and activity of users of select popular mental health mobile applications (mHealth apps) during coronavirus disease 2019 (COVID-19). Background The outbreak of the COVID-19 crisis has shown a negative impact on public mental health. Mobile health has the potential to help address the psychological needs of existing and new patients during the pandemic and beyond. Method Downloads data of 16 widely used apps were analyzed. The quality of apps was reviewed using the Mobile Application Rating Scale (MARS) framework. Correlation analysis was conducted to investigate the relationship between app quality and app popularity. Results Among the 16 apps, 10 were meditational in nature, 13 showed increased downloads, with 11 apps showing above 10% increase in the downloads after the pandemic started. The popular apps were satisfactory in terms of functionality and esthetics but lacked clinical grounding and evidence base. There exists a gap between app quality and app popularity. Conclusion This study provided evidence for increased downloads of mental mHealth apps (primarily meditation apps) during the COVID-19 pandemic but revealed several gaps and opportunities to address deficiencies in evidence-based design, usability and effective assessment, and integration into current workflows. Application The COVID-19 pandemic is a potential turning point for mHealth applications for mental health care. Whereas the evidence suggests a need for alternative delivery of care, human factors and ergonomics methods should be utilized to ensure these tools are user-centered, easy to use, evidence-based, well-integrated with professional care, and used sustainably.

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