Evidence map›Paper›PMID 39531381›Full record

ReviewDiabetes2025

Innovating Diabetes Care in Pregnancy: Do Group Care Models Improve Outcomes and Equity? A Report on Research Supported by Pathway to Stop Diabetes.

Ebony B Carter

Abstract readReview
In one paragraph

Review in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ebony B CarterDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC.ORCID 0000-0002-7620-4929

Funding

WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI James Alexander Fitzpatrick · 2013 to 2026
$27.1M
Group versus Traditional Prenatal Care for Diabetes: A Randomized Controlled TrialK23HD095075 · NICHD · WASHINGTON UNIVERSITY · PI CARTER, EBONY BOYCE · 2018 to 2022
$917k
American Diabetes Association Pathway to Stop Diabetes Award 1-19-ACE-02NICHD K23 K23HD095075NICHD NIH HHS K23 HD095075NIDDK NIH HHS P30 DK020579NIDDK NIH HHS P30DK020579Robert Wood Johnson Foundation Harold Amos Award
6 · The paper itself

Abstract

Shared medical appointments (SMAs) for diabetes and group prenatal care (GPC) for pregnant patients have emerged as innovative care delivery models. They have the potential to transform diabetes care by overcoming many of the time limitations of traditional one-on-one clinical visits. There is compelling evidence that SMAs improve glycemic control for nonpregnant patients with diabetes, GPC reduces Black and White health disparities in preterm birth, and diabetes GPC increases postpartum glucose tolerance test uptake among patients with gestational diabetes mellitus. GPC models stand out as one of few interventions that reduce racial health disparities, which we hypothesize occurs because their effect is inadvertently exerted on both the patient and clinician through an over 20-h meaningful shared experience. In this article I explore the evidence for SMAs and GPC in diabetes and pregnancy, theoretical underpinnings of the models, their potential to promote more equitable care, and future directions from my perspective as a physician in high-risk obstetrics and 2019 American Diabetes Association Pathway Accelerator Award recipient. This article is part of a series of perspectives that report on research funded by the American Diabetes Association Pathway to Stop Diabetes program.

Indexed as

Diabetes, GestationalPregnancy in DiabeticsPrenatal CareShared Medical AppointmentsFemaleHealthcare DisparitiesHumansPregnancy

Identifiers

PMID39531381
PMCPMC11755680

What OpenQuestion holds

Textmetadata
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.