Evidence map›Paper›PMID 40755854›Full record

ArticleSSM - population health2025

Can early prenatal care initiation reduce racial inequalities in birth outcomes? A causal decomposition approach.

Karl Vachuska

Abstract read
In one paragraph

Article in SSM - population health, 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.

Karl VachuskaDepartment of Sociology, University of Wisconsin-Madison, 1180 Observatory Drive, Madison, WI, 53703, USA.

Funding

Diversity supplementT32HD007014 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 1985 to 2026
$6.8M
NICHD NIH HHS T32 HD007014
6 · The paper itself

Abstract

There are large and persistent racial inequalities in adverse birth outcomes in the United States. While much research presents "causal" effects of race on birth outcomes, such analyses are not counterfactually formulated and fail to inform policy in a meaningful way. Recent methodological advances in causal decomposition have developed double machine-learning-based approaches for understanding how a causal intermediate variable can potentially mitigate a gap between groups. Drawing on population-level birth data from California in 2018 and 2019, I consider the causal role of prenatal care timing in contributing to racial disparities in birth outcomes as measured by APGAR score and intrauterine growth restriction. My results suggest that prenatal care timing plays little to no role in contributing to racial inequalities in birth outcomes, indicating that research should focus on other factors driving disparities in neonatal health.

Identifiers

PMID40755854
PMCPMC12314383

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.