Evidence map›Paper›PMID 38241851›Full record

ArticleHealth & place2024

Structural barriers to health care as risk factors for preterm and small-for-gestational-age birth among US-born Black and White mothers.

David S Curtis, Norman Waitzman, Michael R Kramer, Julie H Shakib

Open access · greenAbstract read
In one paragraph

Article in Health & place, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Voting Restrictions and Increased Odds of Adverse Birth Outcomes in the US.Journal of racial and ethnic health disparities · 2026
    Article
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

David S CurtisDepartment of Family and Consumer Studies, University of Utah, Salt Lake City, UT, 84112, USA. Electronic address: david.curtis@fcs.utah.edu.
Norman WaitzmanDepartment of Economics, University of Utah, Salt Lake City, UT, 84112, USA.
Michael R KramerDepartment of Epidemiology, Emory University, Atlanta, GA, 30322, USA.
Julie H ShakibDepartment of Pediatrics, University of Utah, Salt Lake City, UT, 84112, USA.
University of Utah · USEmory University · US

Funding

The Racial Social Structure and Unequal Risk of Adverse Birth Outcomes among Black InfantsR21MD014281 · NIMHD · UNIVERSITY OF UTAH · PI CURTIS, DAVID STUART · 2020 to 2021
$437k
NIMHD NIH HHS R21 MD014281
6 · The paper itself

Abstract

We develop county-level measures of structural and institutional barriers to care, and test associations between these barriers and birth outcomes for US-born Black and White mothers using national birth records for 2014-2017. Results indicate elevated odds of greater preterm birth severity for Black mothers in counties with higher uninsurance rates among Black adults, fewer Black physicians per Black residents, and fewer publicly-funded contraceptive services. Most structural barriers were not associated with small-for-gestational-age birth, and barriers defined for Black residents were not associated with birth outcomes for White mothers, with the exception of Black uninsurance rate. Structural determinants of care may influence preterm birth risk for Black Americans.

Indexed as

Infant, Small for Gestational AgePremature BirthAdultBlack or African AmericanDelivery of Health CareFemaleHumansInfant, NewbornMedically UninsuredRisk FactorsWhiteHealth care accessHealth insurancePreterm birthRacial disparitiesStructural racism

Identifiers

PMID38241851
PMCPMC10922656
OpenAlexW4391056085

What OpenQuestion holds

Textmetadata
LicenceTDM
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.