Implementation and Evaluation of an Automated Text Message–Based Diabetes Prevention Program for Adults With Pre-diabetes
Open accessAbstract
Background: Despite the efficacy of diabetes prevention programs, only an estimated 5% of people with pre-diabetes actually participate. Mobile health (mHealth) holds promise to engage patients with pre-diabetes into lifestyle modification programs by decreasing the referral burden, centralizing remote enrollment, removing the physical requirement of a brick-and-mortar location, lowering operating costs through automation, and reducing time and transportation barriers. Methods: Non-randomized implementation study enrolling patients with pre-diabetes from a large health care organization. Patients were exposed to a text message–based program combining live human coaching guidance and support with automated scheduled, interactive, data-driven, and on-demand messages. The primary analysis examined predicted weight outcomes at 6 and 12 months. Secondary outcomes included predicted changes in HbA1c and minutes of exercise at 6 and 12 months. Results: Of the 163 participants included in the primary analysis, participants had a mean predicted weight loss of 5.5% at six months ( P < .001) and of 4.3% at 12 months ( P < .001). We observed a decrease in predicted HbA1c from 6.1 at baseline to 5.8 at 6 and 12 months ( P < .001). Activity minutes were statistically similar from a baseline of 155.5 minutes to 146.0 minutes ( P = .567) and 142.1 minutes ( P = .522) at 6 and 12 months, respectively, for the overall cohort. Conclusions: In this real-world implementation of the myAgileLife Diabetes Prevention Program among patients with pre-diabetes, we observed significant decreases in weight and HbA1c at 6 and 12 months. mHealth may represent an effective and easily scalable potential solution to deliver impactful diabetes prevention curricula to large numbers of patients.
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Arora et al found a significant reduction in predicted HbA1c after the intervention (P<.001).
“For example, Arora et al [34] proved after the intervention that there is a significant reduction in predicted HbA1c (P<.001).”
From Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review (2025) · cites this paper as [34]
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Digital Health Interventions to Prevent Type 2 Diabetes Mellitus: Systematic Review
Duong, T., Olsen, Q., Menon, A., Woods, L., Wang, W., Varnfield, M., Jiang, L., & Sullivan, C. (2025) · Journal of Medical Internet Research · doi:10.2196/67507 · Cited by 14 · see citing works
- Authors
- Arora, S., Lam, C. N., Burner, E., & Menchine, M.
- Affiliations
- University of Southern California (US)
- Corresponding author
- Arora, Sanjay
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2023-03-22
- Volume
- 18
- Issue
- 5
- Pages
- 1139-1145
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC11418517
- OpenAlex
- W4353020332
- Cited by
- 5
- References
- 4
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 1
- FWCI
- 1.77
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- diabetes prevention, prediabetes, text messaging, mobile health, lifestyle modification, weight loss, HbA1c, physical activity, program implementation, health care organization
- MeSH terms
- Adult, Aged, Female, Glycated Hemoglobin, Humans, Male, Middle Aged, Prediabetic State, Program Evaluation, Weight Loss, Exercise, Telemedicine, Text Messaging
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