Evidence map›Paper›PMID 33170867›Full record

ArticlePloS one2020

Estimated number of eligible Part B beneficiaries for the medicare diabetes prevention program at the county level and by urban-rural classification.

Boon Peng Ng, Yiling J Cheng, Stephanie Rutledge, Michael J Cannon, Ping Zhang, Bryce D Smith

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Boon Peng NgCollege of Nursing and Disability, Aging and Technology Cluster, University of Central Florida, Orlando, Florida, United States of America.ORCID 0000-0001-6070-661X
Yiling J ChengDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Stephanie RutledgeDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Michael J CannonDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Ping ZhangDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Bryce D SmithDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes imposes large health and financial burdens on Medicare beneficiaries. Type 2 diabetes can be prevented or delayed through lifestyle modification programs. In 2018, Medicare began to offer the Medicare Diabetes Prevention Program (MDPP), a lifestyle intervention, to eligible beneficiaries nationwide. The number of MDPP-eligible beneficiaries is not known, but this information is essential in efforts to expand the program and increase enrollment. This study aimed to estimate the number and spatial variation of MDPP-eligible Part B beneficiaries at the county level and by urban-rural classification.

methodsData from 2011-2016 National Health and Nutrition Examination Surveys and a survey-weighted logistic regression model were used to estimate proportions of prediabetes in the United States by sex, age, and race/ethnicity based on the MDPP eligibility criteria. The results from the predictive model were applied to 2015 Medicare Part B beneficiaries to estimate the number of MDPP-eligible beneficiaries. The National Center for Health Statistics' Urban-Rural Classification Scheme for Counties from 2013 were used to define urban and rural categories.

resultsAn estimated 5.2 million (95% CI = 3.5-7.0 million) Part B beneficiaries were eligible for the MDPP. By state, estimates ranged from 13,000 (95% CI = 8,500-18,000) in Alaska to 469,000 (95% CI = 296,000-641,000) in California. There were 2,149 counties with ≤1,000 eligible beneficiaries and 11 with >25,000. Consistent with demographic patterns, urban counties had more eligible beneficiaries than rural counties.

conclusionsThese estimates could be used to plan locations for new MDPPs and reach eligible Part B beneficiaries for enrollment.

Indexed as

AgedDatabases, FactualDiabetes Mellitus, Type 2FemaleHumansLogistic ModelsMaleMedicareNutrition SurveysPrediabetic StateRural PopulationUnited StatesUrban Population

Identifiers

PMID33170867
PMCPMC7654820

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

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.