Evidence map›Paper›PMID 35651355›Full record

ArticleHealth equity2022

Rural-Urban Disparities in Health Access Factors Over Time: Implications for Cancer Prevention and Health Equity in the Midwest.

Jordan Baker, Hope Krebill, Hanluen Kuo, Ronald C Chen, Jeffrey A Thompson, Matthew S Mayo, Dinesh Pal Mudaranthakam, Lynn Chollet-Hinton

Abstract read
In one paragraph

Article in Health equity, 2022. 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
–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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Jordan BakerDepartment of Biostatistics & Data Science, School of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID https://orcid.org/0000-0002-4078-7296
Hope KrebillUniversity of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID https://orcid.org/0000-0001-9935-1158
Hanluen KuoUniversity of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Ronald C ChenUniversity of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, Kansas, USA.
Jeffrey A ThompsonDepartment of Biostatistics & Data Science, School of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Matthew S MayoDepartment of Biostatistics & Data Science, School of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Dinesh Pal MudaranthakamDepartment of Biostatistics & Data Science, School of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.
Lynn Chollet-HintonDepartment of Biostatistics & Data Science, School of Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID https://orcid.org/0000-0001-9748-861X

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

Purpose: Population-level environmental and socioeconomic factors may influence cancer burden within communities, particularly in rural and urban areas that may be differentially impacted by factors related to health care access. Methods: The University of Kansas (KU) Cancer Center serves a geographically large diverse region with 75% of its 123 counties classified as rural. Using County Health Rankings data and joinpoint regression, we examined trends in four factors related to the socioeconomic environment and health care access from 2009 to 2017 in rural and urban counties across the KU Cancer Center catchment area. Findings: The adult health uninsurance rate declined significantly in rural and urban counties across the catchment area (rural annual percent change [APC]=-5.96; 95% CI=[-7.71 to -4.17]; urban APC=-5.72; 95% CI=[-8.03 to -3.35]). Childhood poverty significantly decreased in rural counties over time (APC=-2.94; 95% CI=[-4.52 to -1.33]); in contrast, urban childhood poverty rates did not significantly change before 2012 (APC=3.68; 95% CI=[-15.12 to 26.65]), after which rates declined (APC=-5.89; 95% CI=[-10.01 to -1.58]). The number of primary care providers increased slightly but significantly in both rural and urban counties (APC=0.54; 95% CI=[0.28 to 0.80]), although urban counties had more primary care providers than rural areas (76.1 per 100K population vs. 57.1 per 100K population, respectively; Conclusion: Our findings reveal potential disparities in systemic factors that may contribute to differences in cancer prevention, care, and survivorship in rural and urban regions.

Indexed as

cancerhealth equitypopulation levelruralsocioeconomic factors

Identifiers

PMID35651355
PMCPMC9148661

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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.