Development and Theoretical Approach to an Adaptive Text Message Program to Promote Well-Being and Health Behaviors in Primary Care Patients
A majority of individuals with chronic medical conditions do not fully follow recommendations about health behaviors, and deficits in health education, motivation, support, and well-being all likely play a role. This report describes the theory, programming, development, and implementation process for a machine learning-based, adaptive, once-daily text message intervention to address this public health problem. The intervention aims to promote psychological well-being and provide education and support around health behaviors. The platform allows patients to provide real-time feedback about each message, and the machine learning algorithm then delivers subsequent messages that are increasingly tailored to individuals’ preferred message content.
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