Intelligent Mobile Support for Therapy Adherence and Behavior Change

A. van Wissen, M.C.A. Klein, N.M. Mogles

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Mobile applications have proven to be promising tools for supporting people in adhering to their health goals. Although coaching and reminder apps abound, few of them are based on established theories of behavior change. In the present work, a behavior change support system is presented that uses a computational model based on multiple psychological theories of behavior change. The system determines the user’s reason for non-adherence using a mobile phone app and an online lifestyle diary. The user automatically receives generated messages with persuasive, tailored content. The system was designed to support chronic patients with type 2 diabetes, HIV, and cardiovascular disease, but can be applied to many health and lifestyle domains. The main focus of this work is the development of the model and the underlying reasoning method. Furthermore, the implementation of the system and some preliminary results of its functioning will be discussed.
LanguageEnglish
Pages137
Number of pages151
JournalJournal of Biomedical Informatics
Volume51
DOIs
Publication statusPublished - 2014

Fingerprint

Behavior Therapy
Application programs
Mobile Applications
Health
Life Style
Medical problems
Mobile phones
Psychological Theory
Cell Phones
Type 2 Diabetes Mellitus
Cardiovascular Diseases
HIV

Keywords

  • Intelligent mobile support
  • eHealth
  • Therapy adherence
  • Behavior change
  • Coaching systems

Cite this

@article{2d211047bf6f4bda89355cc7152fcc4c,
title = "Intelligent Mobile Support for Therapy Adherence and Behavior Change",
abstract = "Mobile applications have proven to be promising tools for supporting people in adhering to their health goals. Although coaching and reminder apps abound, few of them are based on established theories of behavior change. In the present work, a behavior change support system is presented that uses a computational model based on multiple psychological theories of behavior change. The system determines the user’s reason for non-adherence using a mobile phone app and an online lifestyle diary. The user automatically receives generated messages with persuasive, tailored content. The system was designed to support chronic patients with type 2 diabetes, HIV, and cardiovascular disease, but can be applied to many health and lifestyle domains. The main focus of this work is the development of the model and the underlying reasoning method. Furthermore, the implementation of the system and some preliminary results of its functioning will be discussed.",
keywords = "Intelligent mobile support , eHealth, Therapy adherence , Behavior change, Coaching systems",
author = "{van Wissen}, A. and M.C.A. Klein and N.M. Mogles",
year = "2014",
doi = "10.1016/j.jbi.2014.05.005",
language = "English",
volume = "51",
pages = "137",
journal = "Journal of Biomedical Informatics",
issn = "1532-0464",
publisher = "Academic Press Inc.",

}

Intelligent Mobile Support for Therapy Adherence and Behavior Change. / van Wissen, A.; Klein, M.C.A.; Mogles, N.M.

In: Journal of Biomedical Informatics, Vol. 51, 2014, p. 137.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Intelligent Mobile Support for Therapy Adherence and Behavior Change

AU - van Wissen, A.

AU - Klein, M.C.A.

AU - Mogles, N.M.

PY - 2014

Y1 - 2014

N2 - Mobile applications have proven to be promising tools for supporting people in adhering to their health goals. Although coaching and reminder apps abound, few of them are based on established theories of behavior change. In the present work, a behavior change support system is presented that uses a computational model based on multiple psychological theories of behavior change. The system determines the user’s reason for non-adherence using a mobile phone app and an online lifestyle diary. The user automatically receives generated messages with persuasive, tailored content. The system was designed to support chronic patients with type 2 diabetes, HIV, and cardiovascular disease, but can be applied to many health and lifestyle domains. The main focus of this work is the development of the model and the underlying reasoning method. Furthermore, the implementation of the system and some preliminary results of its functioning will be discussed.

AB - Mobile applications have proven to be promising tools for supporting people in adhering to their health goals. Although coaching and reminder apps abound, few of them are based on established theories of behavior change. In the present work, a behavior change support system is presented that uses a computational model based on multiple psychological theories of behavior change. The system determines the user’s reason for non-adherence using a mobile phone app and an online lifestyle diary. The user automatically receives generated messages with persuasive, tailored content. The system was designed to support chronic patients with type 2 diabetes, HIV, and cardiovascular disease, but can be applied to many health and lifestyle domains. The main focus of this work is the development of the model and the underlying reasoning method. Furthermore, the implementation of the system and some preliminary results of its functioning will be discussed.

KW - Intelligent mobile support

KW - eHealth

KW - Therapy adherence

KW - Behavior change

KW - Coaching systems

U2 - 10.1016/j.jbi.2014.05.005

DO - 10.1016/j.jbi.2014.05.005

M3 - Article

VL - 51

SP - 137

JO - Journal of Biomedical Informatics

T2 - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

SN - 1532-0464

ER -