Evidence map›Paper›PMID 42597195›Full record

ArticlePregnancy (Hoboken, N.J.)2025

Sociodemographic barriers to continuous glucose monitoring among pregnancies with type 1 diabetes.

Frank B Will Williams, Kali Juracek, John A Morgan, James D Toppin, Joseph R Biggio, Shannon M McCloskey

Abstract read
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Frank B Will WilliamsDivision of Maternal Fetal Medicine Ochsner Health New Orleans Louisiana USA.ORCID https://orcid.org/0000-0001-7507-4870
Kali JuracekOchsner Clinical School University of Queensland Medical School Brisbane Australia.
John A MorganDivision of Maternal Fetal Medicine Ochsner Health New Orleans Louisiana USA.
James D ToppinDivision of Maternal Fetal Medicine Ochsner Health New Orleans Louisiana USA.
Joseph R BiggioDivision of Maternal Fetal Medicine Ochsner Health New Orleans Louisiana USA.ORCID https://orcid.org/0000-0003-3748-7206
Shannon M McCloskeyDivision of Maternal Fetal Medicine Ochsner Health New Orleans Louisiana USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Continuous glucose monitor (CGM) use is associated with improved glycemic management among pregnant patients with type 1 diabetes. Individual- and neighborhood-level social determinants of health (SDHs) are associated with low CGM use and adverse pregnancy outcomes. We hypothesized that SDHs are associated with decreased CGM use in pregnancy among patients with type 1 diabetes. Methods: We evaluated a cohort of pregnancies receiving type 1 diabetes and delivery care at a single large health system from 2016 to 2023. Patients were evaluated by public payor status. The primary outcome was CGM use. Additional SDH characteristics evaluated included home Area Deprivation Index (ADI) percentile and rurality status. Regression analyses generating models predicting CGM use included age, baseline body mass index (BMI), diabetes duration, and delivery year. Results: Among 288 pregnancies with type 1 diabetes, 144 (50.0%) had public insurance. Public payor was associated with younger age and shorter diabetes duration, and those patients were more commonly nulliparous and Black. Controlling for baseline characteristics, CGM uptake was lower among the public insured (38.9% vs. 61.8%; adjusted odds ratio [aOR], 0.39; 95% confidence interval [CI], 0.23-0.66). Over time, uptake increased, though publicly insured patients lagged by two years. Evaluating SDH characteristics and CGM usage over time, public insurance (aOR, 0.47; 95% CI, 0.24-0.91) and ADI (aOR, 0.96; 95% CI, 0.95-0.98) were associated with CGM use; rurality was not. Conclusion: Public insurance and high neighborhood deprivation are risk factors for lower CGM uptake, potentially representing an indirect and targetable mechanism by which SDH impacts glycemic management for pregnancies with type 1 diabetes.

Indexed as

CGMdiabetesdisparitiespregnancy

Identifiers

PMID42597195
PMCPMC13344810

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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.