Evidence map›Paper›PMID 42007074›Full record

ArticleData in brief2026

Building data capacity for maternal health equity: Introduction of a novel dataset.

Brayton Amidon, Isaac Washburn, Karina Shreffler, Leremy A Colf

Abstract read
In one paragraph

Article in Data in brief, 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

4 authors.

Brayton AmidonCollege of Nursing, Texas A&M University, 8447 John Sharp Parkway, Bryan TX 77807, USA.
Isaac WashburnDepartment of Biobehavioral Health Science, Fran and Earl Ziegler College of Nursing, The University of Oklahoma, 1100N Stonewall, Oklahoma City, OK 73117, USA.
Karina ShrefflerDepartment of Child and Family Health Sciences, Fran and Earl Ziegler College of Nursing, The University of Oklahoma, 1100N Stonewall, Oklahoma City, OK 73117, USA.
Leremy A ColfDepartment of Child and Family Health Sciences, Fran and Earl Ziegler College of Nursing, The University of Oklahoma, 1100N Stonewall, Oklahoma City, OK 73117, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes a new, publicly available data resource linking numerous existing datasets and analyses at the county/FIPS code level. Linked datasets include publicly available data on county demographic makeup (e.g., race, population, etc.), social vulnerability factors, and pregnancy-related hospital utilization. It also includes a new dataset, measuring travel time from each county to the nearest hospital for each of four levels of maternal care services. A wide variety of datasets, including population-level health data, are published by the United States Government for public use. While these data sets are immensely valuable for research and can be used to improve healthcare delivery and outcomes, it can be challenging to find, access, and link the data. Maternal health, population health, and demography researchers as well as healthcare providers and health policy experts, can use this dataset to better understand the causes of maternal morbidity and mortality and to improve health outcomes. By linking these varied data sources, this new data resource allows examination of individual contributing factors as well as the interplay between and relative strengths of multiple correlated factors. Additionally, this dataset allows researchers to add any additional data, simply by using FIPS codes for linking.

Indexed as

DemographyGeographic barriersHealthcare utilizationHealth equityLinked dataMaternal healthSocial vulnerability

Identifiers

PMID42007074
PMCPMC13084572

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.