ArticleDiabetes care2019
Effect on Health Care Expenditures During Nationwide Implementation of the Diabetes Prevention Program as a Health Insurance Benefit.
Article in Diabetes care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Supplemental Text Message Support With the National Diabetes Prevention Program: Pragmatic Comparative Effectiveness Trial.JMIR mHealth and uHealth · 2020Trial
- 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2026.Diabetes care · 2026Review
- 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2025.Diabetes care · 2025Review
- 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2024.Diabetes care · 2024Review
- Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes.Diabetes care · 2023Review
- 3. Prevention or Delay of Type 2 Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2023.Diabetes care · 2023Review
- Reform of the Health Insurance Funding Model to Improve the Care of Noncommunicable Diseases Patients in Saudi Arabia.Healthcare (Basel, Switzerland) · 2022Article
- High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study.Journal of obesity · 2022Article
- Prevention of Type 2 Diabetes.Endocrinology and metabolism clinics of North America · 2021Review
- Evidence and Challenges for Translation and Population Impact of the Diabetes Prevention Program.Current diabetes reports · 2020Review
- Current Perspectives on the Impact of the National Diabetes Prevention Program: Building on Successes and Overcoming Challenges.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Review
- Health Insurance for Diabetes Prevention Confers Health Benefits and Breaks Even on Cost Within 2 Years.Diabetes care · 2019Article
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Authors and funding
7 authors.
Funding
Abstract
objectiveLifestyle interventions slow development of type 2 diabetes by half, but the impact of health payer reimbursement for delivery of intervention programs is not well known. We evaluated net commercial health payer expenditures when offering reimbursement for access to YMCA's Diabetes Prevention Program (YDPP) in 42 states. RESEARCH DESIGN AND
methodsWe used a nonequivalent comparison group design to evaluate net health care expenditures for adults with prediabetes who attended one or more YDPP visit between 1 July 2009 and 31 May 2013 ("YDPP users"). Rolling, 1:1 nearest neighbor propensity score (PS) matching was used to identify a comparison group of nonusers. Administrative data provided measures of YDPP attendance, body weight at YDPP visits, and health care expenditures. Random effects, difference-in-difference regression was used to estimate quarterly health care expenditures before and after participants' first visit to YDPP.
resultsWorksite screening identified 9.7% of the target population; 39.1% of those identified (19,933 participants through June 2015) became YDPP users. Mean weight loss for YDPP users enrolled before June 2013 (
conclusionsWorksite screening was inefficient for identifying the population with prediabetes, but those identified achieved modest YDPP attendance and clinically meaningful weight loss. Over 2 years, added costs to offer the intervention were modest, with neutral effects on net health care costs.
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