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Intelligent mobile support for therapy adherence and behavior change.

Michel Klein¹, Nataliya Mogles¹, Arlette van Wissen¹

¹Agent Systems Research Group, VU University Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, Netherlands.

Journal of Biomedical Informatics

|May 27, 2014

Summary

This study introduces a mobile health app using psychological theories to help users achieve health goals. It identifies reasons for non-adherence and delivers personalized messages to improve behavior change for chronic conditions.

Keywords:

Behavior change Coaching systems Intelligent mobile support Therapy adherence eHealth

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Area of Science:

Digital Health
Behavioral Science
Computational Psychology

Background:

Mobile applications are increasingly used for health goal adherence.
Existing health apps often lack a basis in established behavior change theories.
Chronic diseases require sustained adherence to management plans.

Purpose of the Study:

To present a behavior change support system (BCSS) integrating multiple psychological theories.
To develop a computational model for identifying user non-adherence reasons.
To enable personalized, persuasive messaging for health behavior modification.

Main Methods:

Development of a computational model grounded in psychological behavior change theories.
Utilization of a mobile app and online lifestyle diary to gather user data.
Implementation of a reasoning method to determine causes of non-adherence.
Automated generation of tailored, persuasive messages for users.

Main Results:

The system successfully identifies user non-adherence factors through app and diary data.
Personalized, theory-based messages are generated to address identified issues.
Preliminary results indicate the system's potential for supporting adherence.

Conclusions:

The developed BCSS offers a theoretically grounded approach to mobile health adherence.
The system's ability to personalize interventions based on identified non-adherence reasons is key.
The model and reasoning method are applicable to various health and lifestyle domains beyond initial target populations.