Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app

Autor: James, Lorenzo, van Heugten, Jordi M.A., Van Gorp, Pieter, Nuijten, Raoul C.Y., Montagne, Barbara, Hagenaars, Muriel, Frank, Lily E., Adjeroh, Donald, Long, Qi, Shi, Xinghua, Guo, Fei, Hu, Xiaohua, Aluru, Srinivas, Narasimhan, Giri, Wang, Jianxin, Kang, Mingon, Mondal, Ananda M., Liu, Jin
Přispěvatelé: Information Systems IE&IS, Industrial Engineering and Innovation Sciences, EAISI Health, EAISI Foundational, Philosophy & Ethics
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Proceedings-2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022, 1568-1573
STARTPAGE=1568;ENDPAGE=1573;TITLE=Proceedings-2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
Popis: 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.
Databáze: OpenAIRE