Evidence map›Paper›PMID 42232164›Full record

ArticleSSM - population health2026

Abortion bans and maternal mortality rates in U.S. states, 2018-2021.

Emily K Rippey

Abstract read
In one paragraph

Article in SSM - population health, 2026. 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.

Emily K RippeyDepartment of Public Policy, The University of North Carolina at Chapel Hill, 131 S Columbia Street, Chapel Hill, NC, 27514, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper seeks to understand the maternal health consequences of public policy decisions surrounding abortion care. To achieve this objective, this paper conducts an event study leveraging data from the Guttmacher Institute, the Centers for Disease Control and Prevention, and the U.S. Census Bureau. First, it analyzes sociodemographic and policy differences between states that did and did not pass abortion bans between 2018 and 2021. Then, using a quasi-experimental event study model, it explores the dynamic treatment effects of adopting an abortion ban. Following this analysis, the study conducts placebo tests for robustness. This study finds that states that enacted abortion bans faced distinct economic and social challenges, such as higher rates of poverty, lower levels of educational attainment, and higher rates of residents without health insurance. When controlling for state demographic data, the results from the event study analysis find a positive relationship between abortion bans and maternal mortality, though this finding is not robust to placebo tests. While the results of the present study are not indicative of a causal treatment effect of abortion bans on maternal mortality, it is important to continue monitoring this relationship as additional data become available.

Indexed as

AbortionDemographyHealth inequitiesMaternal mortalityPublic policyRacial health equitySocial determinants of health

Identifiers

PMID42232164
PMCPMC13224002

What OpenQuestion holds

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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.