Evidence map›Paper›PMID 32312720›Full record

ArticleBMJ open diabetes research & care2020

Results from NEXT-D: the association of a pre-diabetes-specific health plan and rates of incident diabetes among a national sample of working-age adults.

Tannaz Moin, Jinnan Li, Kenrik Duru, Susan L Ettner, Norman Turk, Charles Chan, Abigail M Keckhafer, Robert H Luchs, Sam Ho, Carol M Mangione

Abstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Tannaz MoinDepartment of Medicine, University of California, Los Angeles, California, USA TMoin@mednet.ucla.edu.ORCID 0000-0002-5035-6641
Jinnan LiDepartment of Medicine, University of California, Los Angeles, California, USA.ORCID 0000-0002-8393-3118
Kenrik DuruDepartment of Medicine, University of California, Los Angeles, California, USA.
Susan L EttnerDepartment of Medicine, University of California, Los Angeles, California, USA.
Norman TurkDepartment of Medicine, University of California, Los Angeles, California, USA.
Charles ChanUnited HealthCare Services, Minneapolis, Minnesota, USA.
Abigail M KeckhaferUnited HealthCare Services, Minneapolis, Minnesota, USA.
Robert H LuchsUnited HealthCare Services, Minneapolis, Minnesota, USA.
Sam HoUnited HealthCare Services, Minneapolis, Minnesota, USA.
Carol M MangioneDepartment of Medicine, University of California, Los Angeles, California, USA.

Funding

UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CATHERINE A SARKISIAN · 2002 to 2026
$19.7M
The Diabetes Health Plan: A System Level Intervention to Prevent & Treat DiabetesU58DP002722 · DP · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MANGIONE, CAROL M · 2010 to 2014
$2.5M
A Partnered Evaluation of UHC Medicaid Plan Innovations for Diabetes PatientsU18DP006128 · DP · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DURU, OBIDIUGWU KENRIK, MANGIONE, CAROL M · 2015 to 2019
$2.3M
NCCDPHP CDC HHS U18 DP006128NCCDPHP CDC HHS U58 DP002722NIA NIH HHS P30 AG021684
6 · The paper itself

Abstract

backgroundPre-diabetes affects one-third of adults in the USA and a subset will progress to type 2 diabetes. Our objective was to determine whether a disease-specific health plan, known as the Diabetes Health Plan (DHP), designed to improve care for persons with pre-diabetes and diabetes also led to lower rates of incident diabetes among adults with pre-diabetes.

methodsWe examined eligibility and claims data from a large payer who offered the DHP to a national sample of employers. We included adult employees and dependents who were continuously covered by the DHP over a 4-year study window. The primary outcome was incident diabetes. We conducted propensity score matching at the employer level to find comparable control employer groups offering standard plans. Using an adjusted logistic regression model at the individual level, we tested the association between DHP employer group status and incident diabetes diagnosis during the 3 years of postbaseline follow-up.

findingsOur analysis included data from 11 965 continuously enrolled adults with pre-diabetes (n=1538 from nine employers offering DHP; n=10 427 from 105 control employers offering standard plans). DHP employees and covered dependents with pre-diabetes had an 8% lower absolute predicted probability of incident diabetes compared with individuals from employer groups offering standard benefit plans (29% predicted probability of incident diabetes for DHP vs 37% for controls, p<0.001).

conclusionsA pre-diabetes-specific health benefit design was associated with lower rates of incident diabetes and represents an area of needed future study.

Indexed as

Diabetes Mellitus, Type 2Health Benefit Plans, EmployeePrediabetic StateAdultEligibility DeterminationHumansLogistic Modelsadult diabeteshealth policy

Identifiers

PMID32312720
PMCPMC7199143

What OpenQuestion holds

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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.