Evaluation of a Digital Diabetes Prevention Program Adapted for Low-Income Patients, 2016–2018
Open accessAbstract
INTRODUCTION: We examined the effects of a digitally delivered, type 2 diabetes mellitus prevention program (DPP) for a low-income population. METHODS: We conducted a nonrandomized clinical trial with matched controls. The intervention group was offered a digital DPP, a web-based and mobile-based program including 52 weeks of participation in an educational curriculum, health coaching, and peer support. RESULTS: . For the intervention group, mean weight loss was 4.4% at the 12-month follow-up. CONCLUSION: The modified DPP successfully engaged participants and resulted in weight loss. Low-income patients with prediabetes benefitted from a digitally delivered diabetes intervention. This prevention method should be accessible to a low-income population.
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A clinical trial ran concurrently to PREDICTS and tested the same d-DPP among a low-income, bilingual, ethnically diverse sample and documented significant engagement and improvements in body weight.
“However, a clinical trial ran concurrently to PREDICTS and tested the same d-DPP among a low-income, bilingual, ethnically diverse sample and documented significant engagement and improvements in body weight.23”
From Effects of a Digital Diabetes Prevention Program: An RCT (2022) · cites this paper as [23]
The Methods describe a nonrandomized clinical trial of a digital DPP adapted for low-income patients, including Spanish translation and bilingual coaches. The Results report an ethnically diverse sample with English and Spanish language preferences, engagement measured by lesson completion, and significant weight loss at both follow-ups (P < .001). Our copy does not identify PREDICTS, so it cannot establish that this trial ran concurrently with PREDICTS or tested the same program. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe high cost of programs that require coaching limits their reach.
“the high cost of such programs that require coaching limits their reach13,14”
From Impact of digital health interventions on glycemic control and weight management. (2025) · cites this paper as [13]
The Introduction describes participation barriers for in-person diabetes prevention programs, including scheduling, transportation, and childcare. The Methods describe a digital program with health coaches, but neither passage says that coaching makes programs expensive or that its cost limits their reach; searches for coaching costs and scalability found no such statement. The indexed passages have no page numbers. (LLM, conf=0.75)
Experimental — accuracy not yet measured
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Effects of a Digital Diabetes Prevention Program: An RCT
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“However, a clinical trial ran concurrently to PREDICTS and tested the same dDPP among a low-income, bilingual, ethnically diverse sample and documented significant engagement and improvements in body weight.(23) Furthermore, recent data(24) suggest that 93% of all Americans use the internet and that there is little va…”
MethodSelf-citationImpact of digital health interventions on glycemic control and weight management.
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- Authors
- Kim, S. E., Castro Sweet, C. M., Cho, E., Tsai, J., & Cousineau, M. R.
- Affiliations
- University of Southern California (US)
- Omada Health, Incorporated, San Francisco, California
- Corresponding author
- Kim, Sue E.
- Venue
- Preventing Chronic Disease
- Published
- 2019-11-27
- Volume
- 16
- Pages
- E155-E155
- ISSN
- 1545-1151 (ISSN-L)
- PMC
- PMC6896833
- OpenAlex
- W2991470385
- Cited by
- 34
- References
- 25
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 5 · 2023: 5 · 2022: 7 · 2021: 4 · 2020: 3 · 2018: 1
- FWCI
- 4.77
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- public-domain
- Locations
- Preventing Chronic Disease (publishedVersion, public-domain)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- California Health Care Foundation
- Kresge Foundation
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- type 2 diabetes prevention, digital health interventions, low-income patients, prediabetes, weight loss, health coaching, peer support, web-based program, mobile health, course program, health care access
- MeSH terms
- Adult, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Poverty, Case-Control Studies, Weight Reduction Programs
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