Evidence map›Paper›PMID 31010870›Full record

ArticleDiabetes care2019

Effect on Health Care Expenditures During Nationwide Implementation of the Diabetes Prevention Program as a Health Insurance Benefit.

Ronald T Ackermann, Raymond Kang, Andrew J Cooper, David T Liss, Ann M Holmes, Margaret Moran, Chandan Saha

Abstract readComment
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Review
  6. Review
  7. Article
  8. Article
  9. Prevention of Type 2 Diabetes.Endocrinology and metabolism clinics of North America · 2021
    Review
  10. Review
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  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ronald T AckermannDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL r.ackermann@northwestern.edu.ORCID http://orcid.org/0000-0002-4006-0070
Raymond KangDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Andrew J CooperDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
David T LissDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Ann M HolmesDepartment of Health Policy and Management, Indiana University Richard M. Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, Indianapolis, IN.
Margaret MoranDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Chandan SahaIndiana University School of Medicine, Indianapolis, IN.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
Effectiveness of a National Health Care Community Partnership to Prevent DiabetesU58DP002718 · DP · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ACKERMANN, RONALD T. · 2010 to 2014
$2.4M
NCCDPHP CDC HHS U58 DP002718NIDDK NIH HHS P30 DK092949
6 · The paper itself

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.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAdultHealth ExpendituresHumansInsurance BenefitsInsurance, Health

Identifiers

PMID31010870
PMCPMC6702599

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.