Evidence map›Paper›PMID 42058381›Full record

ArticleKansas journal of medicine

A Cross-Sectional Analysis of Expanding Maternity Care Deserts in Rural Kansas Counties, 2016-2023.

Anna Carlson, Brenda Aguirre, Joshua Young, Ryan Hoefferle, Michael Kennedy, Laurel B Witt

Abstract read
In one paragraph

Article in Kansas journal of medicine. 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

6 authors.

Anna CarlsonThe University of Kansas School of Medicine- Wichita, Wichita, Kansas (Carlson, Aguirre); The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Young, Hoefferle, Kennedy, Witt); Department of Family Medicine and Community Health, The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Hoefferle, Kennedy, Witt).
Brenda AguirreThe University of Kansas School of Medicine- Wichita, Wichita, Kansas (Carlson, Aguirre); The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Young, Hoefferle, Kennedy, Witt); Department of Family Medicine and Community Health, The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Hoefferle, Kennedy, Witt).
Joshua YoungThe University of Kansas School of Medicine- Wichita, Wichita, Kansas (Carlson, Aguirre); The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Young, Hoefferle, Kennedy, Witt); Department of Family Medicine and Community Health, The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Hoefferle, Kennedy, Witt).
Ryan HoefferleThe University of Kansas School of Medicine- Wichita, Wichita, Kansas (Carlson, Aguirre); The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Young, Hoefferle, Kennedy, Witt); Department of Family Medicine and Community Health, The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Hoefferle, Kennedy, Witt).
Michael KennedyThe University of Kansas School of Medicine- Wichita, Wichita, Kansas (Carlson, Aguirre); The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Young, Hoefferle, Kennedy, Witt); Department of Family Medicine and Community Health, The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Hoefferle, Kennedy, Witt).
Laurel B WittThe University of Kansas School of Medicine- Wichita, Wichita, Kansas (Carlson, Aguirre); The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Young, Hoefferle, Kennedy, Witt); Department of Family Medicine and Community Health, The University of Kansas School of Medicine-Kansas City, Kansas City, Kansas (Hoefferle, Kennedy, Witt).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rural Kansas accounts for one-quarter of the state's population and births. Living in rural areas is associated with delayed prenatal care, adverse birth outcomes, and higher infant mortality. Limited access to obstetric services, particularly in maternity care deserts (MCDs), defined as counties without hospitals or clinicians offering obstetric care, contributes to these disparities. Authors of this study assessed obstetric care availability in rural Kansas and compared findings with 2016 data. Methods: In this cross-sectional study, rural hospitals were defined as those located in counties with <39.9 people per square mile using Kansas Department of Health and Environment (KDHE) data. Ninety-three hospitals were contacted by phone between August and October 2023. A survey, replicated from a 2016 study, assessed obstetric clinicians' availability, attrition, and anticipated retirements. Data were analyzed using descriptive statistics and Wilcoxon signed-rank tests. Results: Of 93 hospitals, 66 (71.0%) responded. Among these, 38 (57.6%) reported no obstetric services and 28 (42.4%) offered services. Nine hospitals (32.1%) anticipated losing clinicians within five years, including one (3.5%) expecting complete loss. Among 28 hospitals with data from both years, 50.0% lost ≥1 provider and 21.4% lost all. Median provider counts declined from 5 (IQR 3-6.5) to 4 (IQR 2-5; p = 0.038). MCDs have continued to expand. Conclusions: Obstetric care access in rural Kansas has declined, with expanding MCDs. These trends threaten maternal and neonatal outcomes and underscore the need for targeted strategies to sustain rural obstetric services.

Indexed as

family medicineobstetricspregnancyruralrural health services

Identifiers

PMID42058381
PMCPMC13121164

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.