Evidence map›Paper›PMID 38022489›Full record

ArticleJournal of Appalachian health2023

The Appalachian Gap in Preventable Hospitalizations: Are We Seeing Any Progress?

Rachel Hogg-Graham, Juan Lang, Teresa M Waters

Abstract read
In one paragraph

Article in Journal of Appalachian health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Rachel Hogg-GrahamUniversity of Kentucky, College of Public Health, rachel.hogg@uky.edu.
Juan LangUniversity of Kentucky, College of Public Health.
Teresa M WatersUniversity of Kentucky.

Funding

Examining the Integration of Hospitals, Public Health, and Social Services to Target the Social Determinants of Health Using Patient-Centered and Comparative Effectiveness Research MethodsK01HS025494 · AHRQ · UNIVERSITY OF KENTUCKY · PI HOGG, RACHEL A. · 2018 to 2022
$616k
AHRQ HHS K01 HS025494
6 · The paper itself

Abstract

Introduction: Previous studies have documented geographic variation in preventable hospitalizations between rural and urban areas, but much less is known about preventable hospitalization patterns between heterogeneous rural areas. Unique challenges related to access of care and poverty may put the rural Appalachian Region at risk for higher rates of preventable hospitalizations. Purpose: This study examines whether within-rural differences in Kentucky's preventable hospitalization rates exist and how these differences may be changing over time. Methods: Longitudinal and geographic trends in county-level preventable hospitalization rates were examined using Kentucky hospital discharge data from 2016 to 2019. Regression models were run to determine whether changes over time in preventable hospitalization rates led to an increasing or decreasing gap in outcomes between rural Appalachian counties and their urban and rural non- Appalachian counterparts. Results: Rural Appalachian counties consistently had significantly higher preventable hospitalizations rates compared to their rural non-Appalachian and urban counterparts ( Implications: The analyses confirm that rural areas within Kentucky experienced highly heterogeneous rates of preventable hospitalizations. Despite Medicaid expansion, there is little evidence of any narrowing of the "Appalachian gap." Focus on improving access to care alone may be insufficient to improve outcomes. Alternative strategies that leverage population health approaches may improve capacity to address complex health and social needs in rural Appalachia.

Indexed as

Appalachialongitudinal analysispreventable hospitalizationsrural health

Identifiers

PMID38022489
PMCPMC10629885

What OpenQuestion holds

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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.