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Abstract
Mobile health (mhealth) tools are regularly used in a wide range of mental health domains to assess and monitor patients, potentially increasing patient engagement. Recent studies demonstrated that tailored approaches provide better results than generic approaches.
However, the effectiveness of tailoring has not yet been investigated empirically for patients with severe mental illnesses (SMIs). It also remains unclear how personalized goals, which are critical from a treatment point of view, impact engagement. Therefore, we designed a novel mHealth tool to increase SMI patient engagement with their personal goals which we evaluated empirically. We designed a two-period, two-arm within-subject crossover study in which 4 participants were exposed to personalized and non-personalized behavioral goals. Contrary to expectations, personalized behavioral goals did not have a significant impact on engagement levels. When considering our participant feedback and also in the context of flow theory, we rationalized that our goal personalization strategy was too static for SMI patients. Therefore, in our future work, we will investigate dynamic strategies that adapt goal difficulty over time.
However, the effectiveness of tailoring has not yet been investigated empirically for patients with severe mental illnesses (SMIs). It also remains unclear how personalized goals, which are critical from a treatment point of view, impact engagement. Therefore, we designed a novel mHealth tool to increase SMI patient engagement with their personal goals which we evaluated empirically. We designed a two-period, two-arm within-subject crossover study in which 4 participants were exposed to personalized and non-personalized behavioral goals. Contrary to expectations, personalized behavioral goals did not have a significant impact on engagement levels. When considering our participant feedback and also in the context of flow theory, we rationalized that our goal personalization strategy was too static for SMI patients. Therefore, in our future work, we will investigate dynamic strategies that adapt goal difficulty over time.
Original language | English |
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Title of host publication | Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022 |
Editors | Donald Adjeroh, Qi Long, Xinghua Shi, Fei Guo, Xiaohua Hu, Srinivas Aluru, Giri Narasimhan, Jianxin Wang, Mingon Kang, Ananda M. Mondal, Jin Liu |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 1568-1573 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-6654-6819-0 |
DOIs | |
Publication status | Published - 2 Jan 2023 |
Event | 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Caesers Palace, Las Vegas, United States Duration: 6 Dec 2022 → 9 Dec 2022 Conference number: 15 https://ieeebibm.org/BIBM2022/ |
Conference
Conference | 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
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Abbreviated title | BIBM 2022 |
Country/Territory | United States |
City | Las Vegas |
Period | 6/12/22 → 9/12/22 |
Internet address |
Keywords
- mHealth
- personalization
- goal setting
- engagement
- severe mental illness
- FACT
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Dive into the research topics of 'Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app'. Together they form a unique fingerprint.Projects
- 1 Active
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Gamified mHealth for (post-)pandemic mental healthcare support (39.4919)
Van Gorp, P. (Project Manager) & James, L. (Project member)
1/09/21 → 31/08/25
Project: Third tier