Development and Theoretical Approach to an Adaptive Text Message Program to Promote Well-Being and Health Behaviors in Primary Care Patients

Sean Legler, MD; Christopher M. Celano, MD; Adela Amador, RN; Austen Novis, BS; Senan Ebrahim, BA; and Jeff C. Huffman, MD

Forgot your login? GET HELP

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.

Prim Care Companion CNS Disord 2018;20(5):18br02353

https://doi.org/10.4088/PCC.18br02353

© Copyright 2018 Physicians Postgraduate Press, Inc.