Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jadr.2021.100255
Title: Quality evaluation of stress, anxiety and depression apps for COVID-19
Authors: Li, Lauren Su En
Wong, Li Lian 
Yap, Kevin Yi-Lwern
Keywords: Anxiety
COVID-19
Depression
Mobile apps
Quality evaluation
Stress
Issue Date: 1-Oct-2021
Publisher: Elsevier B.V.
Citation: Li, Lauren Su En, Wong, Li Lian, Yap, Kevin Yi-Lwern (2021-10-01). Quality evaluation of stress, anxiety and depression apps for COVID-19. Journal of Affective Disorders Reports 6 : 100255. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jadr.2021.100255
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Background: COVID-19 has caused increased stress, anxiety and depression with increased barriers to treatment. Mobile apps offer a potential solution, but there is no information on the quality of such apps recommended for COVID-19. This study aims to evaluate the quality of stress, anxiety and depression apps recommended for COVID-19. Methods: A search was conducted to identify relevant apps on the iOS and Android platforms. 44 apps were evaluated using the Mobile App Rating Scale (MARS), and the American Psychiatric Association's app evaluation model for data privacy and security. Results: Overall quality scores of iOS and Android apps were 3.69 ± 0.43 and 3.66 ± 0.47. Thirty percent had good/excellent overall scores. In general, the iOS and Android versions of the apps scored best for functionality (4.21 ± 0.48, 4.12 ± 0.53), followed by aesthetics (3.84 ± 0.50, 3.78 ± 0.56), information (3.39 ± 0.54, 3.40 ± 0.60), and engagement (3.31 ± 0.81, 3.34 ± 0.84). Over half (59%) shared personal information with third parties and 14% were compliant with data protection standards. Limitations: Only free apps available in Singapore were evaluated. Our results are time sensitive due to addition, removal, and update of apps in the app stores, thus our results should be extrapolated with caution to apps from other countries and paid apps. Conclusion: Apps that addressed all three conditions had the highest overall quality scores. The top ranked apps (Sanvello, Woebot, Happify, Youper, Bloom) were of good quality, but majority were of acceptable quality and had room for improvement. App developers are encouraged to use our findings to improve and develop better quality apps. © 2021
Source Title: Journal of Affective Disorders Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/233516
ISSN: 2666-9153
DOI: 10.1016/j.jadr.2021.100255
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1016_j_jadr_2021_100255.pdf955.93 kBAdobe PDF

OPEN

NoneView/Download

SCOPUSTM   
Citations

3
checked on Nov 25, 2022

Page view(s)

7
checked on Nov 17, 2022

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons