Evidence map›Paper›PMID 37098856›Full record

ArticleJournal of health and social behavior2023

Differences in Determinants: Racialized Obstetric Care and Increases in U.S. State Labor Induction Rates.

Ryan K Masters, Andrea M Tilstra, Daniel H Simon, Kate Coleman-Minahan

Open access · greenAbstract read
In one paragraph

Article in Journal of health and social behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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 1 institution in 2 countries.

Ryan K MastersUniversity of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-6285-4445
Andrea M TilstraUniversity of Colorado Population Center, Boulder, CO, USA.ORCID 0000-0001-7622-9088
Daniel H SimonUniversity of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-8051-6028
Kate Coleman-MinahanUniversity of Colorado Population Center, Boulder, CO, USA.
University of Colorado Boulder · US

Funding

University of Colorado Population CenterP2CHD066613 · NICHD · UNIVERSITY OF COLORADO · PI JANE A MENKEN · 2015 to 2026
$3.7M
The University of Colorado Population CenterR24HD066613 · NICHD · UNIVERSITY OF COLORADO · PI PAMPEL, FRED C · 2010 to 2014
$1.9M
Trends in C-Section and Induction Use among US Births and Consequences for US Birth WeightR03HD099359 · NICHD · UNIVERSITY OF COLORADO · PI MASTERS, RYAN KELLY · 2019 to 2020
$141k
NICHD NIH HHS P2C HD066613NICHD NIH HHS R03 HD099359NICHD NIH HHS R24 HD066613
6 · The paper itself

Abstract

Induction of labor (IOL) rates in the United States have nearly tripled since 1990. We examine official U.S. birth records to document increases in states' IOL rates among pregnancies to Black, Latina, and White women. We test if the increases are associated with changes in demographic characteristics and risk factors among states' racial-ethnic childbearing populations. Among pregnancies to White women, increases in state IOL rates are strongly associated with changes in risk factors among White childbearing populations. However, the rising IOL rates among pregnancies to Black and Latina women are not due to changing factors in their own populations but are instead driven by changing factors among states'

Indexed as

Healthcare DisparitiesLabor, InducedBlack or African AmericanFemaleHispanic or LatinoHumansPregnancyRacismRisk FactorsUnited StatesWhitehealth care inequitiesinduction of labornatality dataobstetric practicesstructural racism

Identifiers

PMID37098856
PMCPMC10848243
OpenAlexW4367048000

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.