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A Functional Analysis of Depression Apps User Installs and Rating

Meyer, Julien and Okuboyejo, Sena (2019) A Functional Analysis of Depression Apps User Installs and Rating. In: Twenty-fifth Americas Conference on Information Systems.

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As access to healthcare to depression remains unavailable or insufficient to a significant part of the population dealing with depression, mobile apps dealing with depression have been spreading and generalizing. In this paper, we investigate depression apps based on data available on the Google Play Store. We find apps addressing several functions in depression apps: education, assessment, tracking, connection, treatment and recreation. While education is the most developed feature (39% of apps), treatment is the most desired feature (68% of app installations). Higher app ratings correlate with higher installs. Apps assessing depression are particularly poorly rated by users, possibly because of the medical nature of a diagnosis. These findings point to a segmentation of the depression app market with massive demand, differing expectations from users by function, discrepancy between developers’ efforts and users’ needs.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Mhealth, mobile apps, depression, use, mental health
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 16 Jun 2021 16:24
Last Modified: 16 Jun 2021 16:24

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