Development and Theoretical Approach to an Adaptive Text Message Program to Promote Well-Being and Health Behaviors in Primary Care Patients
Abstract
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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It is less frequent to use AI for the real- or close to real-time improvement of psychological interventions.
“It is less frequent, however, to use AI for the real- or close to real-time improvement of psychological interventions [74,75].”
From Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review (2022) · cites this paper as [74]
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Gual-Montolio, P., Jaén, I., Martínez-Borba, V., Castilla, D., & Suso-Ribera, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19137737 · Cited by 93 · see citing works
“It is less frequent, however, to use AI for the real- or close to real-time improvement of psychological interventions [74,75].”
BackgroundKornfield, R., Meyerhoff, J., Studd, H., Bhattacharjee, A., Williams, J. J., Reddy, M. C., & Mohr, D. C. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3502046 · Cited by 55 · see citing works
“Feedback is central to many messaging systems, especially adaptive systems where user responses help to improve the delivery of content in the future [4, 45, 46, 61].”
BackgroundEnhancing migraine self-efficacy and reducing disability through a self-management program
Short, A. L. (2019) · Journal of the American Association of Nurse Practitioners · doi:10.1097/jxx.0000000000000323 · Cited by 12 · see citing works
“Customizing education for health behaviors has been shown to be more effective compared with a standardized approach (Legler et al., 2018).”
MethodHuffman, J. C., Harnedy, L. E., Massey, C. N., Carrillo, A., Feig, E. H., Chung, W., & Celano, C. M. (2022) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2022.2049796 · Cited by 8 · see citing works
“We have utilized these platforms and this approach in prior text message intervention studies (Legler et al., 2018; Legler et al., 2020).”
MethodSelf-citationCelano, C. M., Massey, C. N., Long, J., Kim, S., Velasquez, O., Healy, B. C., Wexler, D. J., Madva, E. N., & Huffman, J. C. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211065067 · Cited by 6 · see citing works
Self-citation
- Authors
- Legler, S., Celano, C. M., Amador, A., Novis, A., Ebrahim, S., & Huffman, J. C.
- Affiliations
- University of Minnesota (US)
- Harvard University (US)
- Corresponding author
- Huffman, Jeff C.
- Venue
- The Primary Care Companion For CNS Disorders
- Publisher
- Physicians Postgraduate Press, Inc
- Published
- 2018-10-25
- Volume
- 20
- Issue
- 5
- ISSN
- 2155-7772 (ISSN-L)
- 2155-7780
- OpenAlex
- W2898509297
- Cited by
- 6
- References
- 0
- Citations by year
- 2024: 1 · 2022: 3 · 2021: 1 · 2019: 1
- FWCI
- 0.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Primary Care Companion For CNS Disorders (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Health › Social Media in Health Education
- Keywords
- mobile health intervention, psychological well-being, health behavior change, chronic disease, machine learning, patient feedback, primary care patients, health education
- MeSH terms
- Machine Learning, Treatment Adherence and Compliance, Feedback, Health Promotion, Humans, Primary Health Care, Therapy, Computer-Assisted, Health Behavior, Text Messaging
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