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

L.J. James; J.M.A. van Heugten; P.M.E.  van Gorp; R.C.Y. Nuijten; B. Montagne; M.A. Hagenaars; L.E. Frank

doi:10.1109/BIBM55620.2022.9995714

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

L.J. James, J.M.A. van Heugten, P.M.E. van Gorp, R.C.Y. Nuijten, B. Montagne, M.A. Hagenaars, L.E. Frank

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Publisher	IEEE
Pages	1568-1573
ISBN (Print)	978-1-6654-6820-6
DOIs	https://doi.org/10.1109/BIBM55620.2022.9995714
Publication status	Published - 2 Jan 2023
Event	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) - Las Vegas, NV, USA Duration: 6 Dec 2022 → 8 Dec 2022

Conference

Conference	2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Period	6/12/22 → 8/12/22

Keywords

Mental health
Behavioral sciences
Task analysis
Bioinformatics
Monitoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/BIBM55620.2022.9995714

Evaluation_of_personalized_treatment_goals_on_engagement_of_SMI_patients_with_an_mHealth_appFinal published version, 179 KBLicence: Taverne

Cite this

James, L. J., van Heugten, J. M. A., van Gorp, P. M. E., Nuijten, R. C. Y., Montagne, B., Hagenaars, M. A., & Frank, L. E. (2023). Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1568-1573). Article 9995714 IEEE. https://doi.org/10.1109/BIBM55620.2022.9995714

@inproceedings{e2a707743f294ff1a0108bc8e74331e0,

title = "Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app",

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.",

keywords = "Mental health, Behavioral sciences, Task analysis, Bioinformatics, Monitoring",

author = "L.J. James and {van Heugten}, J.M.A. and {van Gorp}, P.M.E. and R.C.Y. Nuijten and B. Montagne and M.A. Hagenaars and L.E. Frank",

year = "2023",

month = jan,

day = "2",

doi = "10.1109/BIBM55620.2022.9995714",

language = "English",

isbn = "978-1-6654-6820-6",

pages = "1568--1573",

booktitle = "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)",

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note = "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) ; Conference date: 06-12-2022 Through 08-12-2022",

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James, LJ, van Heugten, JMA, van Gorp, PME, Nuijten, RCY, Montagne, B, Hagenaars, MA & Frank, LE 2023, Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app. in 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)., 9995714, IEEE, pp. 1568-1573, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 6/12/22. https://doi.org/10.1109/BIBM55620.2022.9995714

Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app. / James, L.J.; van Heugten, J.M.A.; van Gorp, P.M.E. et al.
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2023. p. 1568-1573 9995714.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Evaluation of personalized treatment goals on engagement of SMI patients with an mHealth app

AU - James, L.J.

AU - van Heugten, J.M.A.

AU - van Gorp, P.M.E.

AU - Nuijten, R.C.Y.

AU - Montagne, B.

AU - Hagenaars, M.A.

AU - Frank, L.E.

PY - 2023/1/2

Y1 - 2023/1/2

N2 - 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.

AB - 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.

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KW - Behavioral sciences

KW - Task analysis

KW - Bioinformatics

KW - Monitoring

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SP - 1568

EP - 1573

BT - 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

PB - IEEE

T2 - 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Y2 - 6 December 2022 through 8 December 2022

ER -

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

Abstract

Conference

Keywords

UN SDGs

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