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https://hdl.handle.net/10356/183780| Title: | Depression self-care apps’ characteristics and applicability to older adults: systematic assessment | Authors: | Yin, Ruoyu Rajappan, Dakshayani Martinengo, Laura Chan, Frederick H. F. Smith, Helen Elizabeth Griva, Konstadina Subramaniam, Mythily Tudor Car, Lorainne |
Keywords: | Medicine, Health and Life Sciences | Issue Date: | 2025 | Source: | Yin, R., Rajappan, D., Martinengo, L., Chan, F. H. F., Smith, H. E., Griva, K., Subramaniam, M. & Tudor Car, L. (2025). Depression self-care apps’ characteristics and applicability to older adults: systematic assessment. Journal of Medical Internet Research, 27, e56418-. https://dx.doi.org/10.2196/56418 | Project: | RT05/21 | Journal: | Journal of Medical Internet Research | Abstract: | Depression affects 32% of older adults. Loneliness and social isolation are common risk factors for depression in older adults. Mobile apps can connect users and are also effective in depression management in the general population. However, older adults have specific needs in terms of the content of depression self-care interventions and their accessibility. It remains unknown whether existing apps for depression self-care are applicable to older adults. | URI: | https://hdl.handle.net/10356/183780 | ISSN: | 1438-8871 | DOI: | 10.2196/56418 | Schools: | Lee Kong Chian School of Medicine (LKCMedicine) School of Social Sciences |
Rights: | © Ruoyu Yin, Dakshayani Rajappan, Laura Martinengo, Frederick H F Chan, Helen Smith, Konstadina Griva, Mythily Subramaniam, Lorainne Tudor Car. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.02.2025. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | LKCMedicine Journal Articles |
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|---|---|---|---|---|
| jmir-2025-1-e56418.pdf | 857.3 kB | Adobe PDF |  View/Open |
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