» Articles » PMID: 33606656

Exploring Usage of COVID Coach, a Public Mental Health App Designed for the COVID-19 Pandemic: Evaluation of Analytics Data

Overview
Publisher JMIR Publications
Date 2021 Feb 19
PMID 33606656
Citations 25
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The COVID-19 pandemic has significantly impacted mental health and well-being. Mobile mental health apps can be scalable and useful tools in large-scale disaster responses and are particularly promising for reaching vulnerable populations. COVID Coach is a free, evidence-informed mobile app designed specifically to provide tools and resources for addressing COVID-19-related stress.

Objective: The purpose of this study was to characterize the overall usage of COVID Coach, explore retention and return usage, and assess whether the app was reaching individuals who may benefit from mental health resources.

Methods: Anonymous usage data collected from COVID Coach between May 1, 2020, through October 31, 2020, were extracted and analyzed for this study. The sample included 49,287 unique user codes and 3,368,931 in-app events.

Results: Usage of interactive tools for coping and stress management comprised the majority of key app events (n=325,691, 70.4%), and the majority of app users tried a tool for managing stress (n=28,009, 58.8%). COVID Coach was utilized for ≤3 days by 80.9% (n=34,611) of the sample whose first day of app use occurred within the 6-month observation window. Usage of the key content in COVID Coach predicted returning to the app for a second day. Among those who tried at least one coping tool on their first day of app use, 57.2% (n=11,444) returned for a second visit; whereas only 46.3% (n=10,546) of those who did not try a tool returned (P<.001). Symptoms of anxiety, depression, and posttraumatic stress disorder (PTSD) were prevalent among app users. For example, among app users who completed an anxiety assessment on their first day of app use (n=4870, 11.4% of users), 55.1% (n=2680) reported levels of anxiety that were moderate to severe, and 29.9% (n=1455) of scores fell into the severe symptom range. On average, those with moderate levels of depression on their first day of app use returned to the app for a greater number of days (mean 3.72 days) than those with minimal symptoms (mean 3.08 days; t=3.01, P=.003). Individuals with significant PTSD symptoms on their first day of app use utilized the app for a significantly greater number of days (mean 3.79 days) than those with fewer symptoms (mean 3.13 days; t=2.29, P=.02).

Conclusions: As the mental health impacts of the pandemic continue to be widespread and increasing, digital health resources, such as apps like COVID Coach, are a scalable way to provide evidence-informed tools and resources. Future research is needed to better understand for whom and under what conditions the app is most helpful and how to increase and sustain engagement.

Citing Articles

Mobile Apps to Support Mental Health Response in Natural Disasters: Scoping Review.

Ezeonu N, Hertelendy A, Adu M, Kung J, Itanyi I, Dias R J Med Internet Res. 2024; 26:e49929.

PMID: 38520699 PMC: 11063879. DOI: 10.2196/49929.


An overview of and recommendations for more accessible digital mental health services.

Lattie E, Stiles-Shields C, Graham A Nat Rev Psychol. 2024; 1(2):87-100.

PMID: 38515434 PMC: 10956902. DOI: 10.1038/s44159-021-00003-1.


Implementation of a self-help mobile mental health app in COVID-19 frontline health care workers: A quality improvement project.

DeVylder E, Breda K, Pietrzak R Arch Psychiatr Nurs. 2023; 47:35-37.

PMID: 38070993 PMC: 10256315. DOI: 10.1016/j.apnu.2023.05.002.


The Adoption of AI in Mental Health Care-Perspectives From Mental Health Professionals: Qualitative Descriptive Study.

Zhang M, Scandiffio J, Younus S, Jeyakumar T, Karsan I, Charow R JMIR Form Res. 2023; 7:e47847.

PMID: 38060307 PMC: 10739240. DOI: 10.2196/47847.


U-shaped association between online information exchange and app usage frequency: a large-scale survey of China 's online young and middle-aged people with pre diabetes and diabetes.

Guo H, Xiao Y, Liao C, Sun J, Xie Y, Zheng Y Front Endocrinol (Lausanne). 2023; 14:1141645.

PMID: 37152927 PMC: 10161200. DOI: 10.3389/fendo.2023.1141645.