Evidence map›Paper›PMID 39613980›Full record

ArticlePrenatal diagnosis2025

Unequal Uptake: Insurance-Related Disparities in Prenatal Genetic Counseling and Screening at a Quaternary Medical Center.

Divya Mallampati, Marcella Boynton, Asha Nikesh Talati, Emily E Hardisty, Neeta L Vora

Abstract read
In one paragraph

Article in Prenatal diagnosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Assessing genetic counseling efficiency with natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2026
    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

5 authors.

Divya MallampatiDivision of Maternal Fetal Medicine and Reproductive Genetics, Department of Obstetrics and Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-0011-9576
Marcella BoyntonDivision of General Medicine and Clinical Epidemiology, Department of Medicine, University of North Carolina at Chapel Hill, San Francisco, California, USA.
Asha Nikesh TalatiDivision of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, San Francisco, California, USA.ORCID 0000-0002-8590-5911
Emily E HardistyDivision of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, San Francisco, California, USA.
Neeta L VoraDivision of Maternal Fetal Medicine, University of North Carolina at Chapel Hill, San Francisco, California, USA.ORCID 0000-0002-2504-9455

Funding

Unmet Needs: Achieving Equity and Support for Parents Pursuing Prenatal Diagnosis in the Genomic EraR01HD105868 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VORA, NEETA L · 2021 to 2025
$3.4M
NICHD NIH HHS R01 HD105868North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill #2KR1262006
6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the association between the type of insurance coverage and the uptake of prenatal genetic counseling and aneuploidy screening.

methodsThis was a retrospective analysis of pregnant people who sought prenatal care at a quaternary medical system from August 1, 2017 to August 29, 2019. The primary exposure was insurance status, while the outcomes of interest were the uptake of genetic counseling and aneuploidy screening. Characteristics of the four insurance coverage groups were compared using simple comparisons and multivariable logistic regression models estimating odds of receiving genetic counseling and screening.

resultsA total of 8774 births were included. There were significant differences among insurance groups in race, ethnicity, language, parity, and gestational age at the first visit. Pregnant people differed significantly by payer status with regard to the uptake of both counseling and aneuploidy screening. In adjusted models, those without insurance or who were self-paid were significantly less likely to have genetic counseling and aneuploidy screening as compared to those with public or private insurance. In adjusted models, those who were older, spoke English, and were in their first pregnancy were significantly more likely to receive genetic counseling and aneuploidy screening.

conclusionThis analysis contributes to the understanding of how insurance mechanisms within the United States can contribute to the uptake of prenatal genetic counseling and screening. However, there is a complex interplay between payer status and other patient-level characteristics such as age, language, and timing of initiation of prenatal care. Future studies that assess both system-level and patient-level characteristics are crucial.

Indexed as

Genetic CounselingGenetic TestingHealthcare DisparitiesInsurance CoverageInsurance, HealthPrenatal DiagnosisAdultAneuploidyFemaleHumansPregnancyPrenatal CareRetrospective StudiesUnited States

Identifiers

PMID39613980
PMCPMC12119971

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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.