Implementation and Evaluation of an Automated Text Message–Based Diabetes Prevention Program for Adults With Pre-diabetes
Authors' conclusion
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.
Study context
- Population
- Patients with pre-diabetes from a large health care organizationincluded in primary analysis
- Participants
- 163 patients
- Primary endpoint
- Predicted weight outcomes
- Follow-up
- 6 and 12 months
Methodological detailssingle-group, real-world
- Single-group
- Real-world
Primary result
As reported in the abstract
Mean predicted weight loss
Mean predicted weight loss at 6 months (P < .001)
5.5%
Mean predicted weight loss at 12 months (P < .001)
4.3%
Secondary outcomes
Predicted HbA1c · baseline to 6 and 12 months
- Predicted HbA1c at baseline
- 6.1
- Predicted HbA1c at 6 and 12 months (P < .001)
- 5.8
Activity minutes · baseline to 6 and 12 months
Minutes
- Activity minutes at baseline
- 155.5
- Activity minutes at 6 months (P = .567)
- 146.0
- Activity minutes at 12 months (P = .522)
- 142.1
- Activity minutes statistically similar to baseline
Original publication
Implementation and Evaluation of an Automated Text Message–Based Diabetes Prevention Program for Adults With Pre-diabetes. J Diabetes Sci Technol. Published 22 March 2023. doi:10.
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