Evidence map›Paper›PMID 41427102›Full record

ArticleJournal of hospital administration2025

Natural disasters in the United States: Hurricane risk, hospital closures, and healthcare finance.

George Audi, Hanadi Hamadi, Margaret Capen, Rima Tawk, Willie Williams

Abstract read
In one paragraph

Article in Journal of hospital administration, 2025. 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

5 authors.

George AudiSchool of Allied Health Sciences, Florida A&M University, Tallahassee, Florida, United States.
Hanadi HamadiBrooks College of Health, University of North Florida, Jacksonville, Florida, United States.
Margaret CapenCollege of Business, East Carolina University, Greenville, North Carolina, United States.
Rima TawkSchool of Public Health, Florida A&M University, Tallahassee, Florida, United States.
Willie WilliamsSchool of Allied Health Sciences, Florida A&M University, Tallahassee, Florida, United States.

Funding

Research Project-3: Effectiveness of an eHealth intervention for uptake of cervical cancer screening in Hispanic womenU54MD007582 · NIMHD · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI Sandra G Suther · 2019 to 2026
$28.1M
NIMHD NIH HHS U54 MD007582
6 · The paper itself

Abstract

Background: Global climate change has increased the likelihood of natural disasters, including hurricanes, floods, wildfires, tornadoes, and earthquakes; this increased risk presents acute socioecological disturbances that generate cascading impacts across healthcare systems, social structures, and economic frameworks. Forty-three percent of Atlantic hurricanes that make U.S. landfall hit the southeastern United States, and their increasing intensity threatens the healthcare infrastructure. Hospital cost-to-charge ratios (CCRs) vary between rural and urban facilities, but hurricane risk impacts on hospital financial performance remain poorly understood. Objective: To examine relationships among hurricane risk, geographic location, and hospital CCRs among southeastern hospitals. Methods: A cross-sectional analysis was used to merge 2021 CMS Cost Report data with 2023 FEMA National Risk Index data for 1,030 hospitals across eight southeastern states. All hospitals within this region were included except for federally funded hospitals due to their unique funding model. Each hospital self-reports its categorization of urban or rural on the CMS Cost Report. Multivariate regression was used to examine associations among log-transformed CCR and hurricane risk percentile, rural/urban location, and hospital quick ratio. Results: Among 1,030 hospitals analyzed, 52% were rural and 48% urban. The regression model explained 24.7% of CCR variation (adjusted Conclusions: Hurricane risk is paradoxically associated with lower hospital CCR, suggesting complex financial adaptations in high-risk areas. Rural hospitals maintain more favorable cost structures than urban facilities, and policymakers should consider these geographic variations in disaster preparedness strategies.

Indexed as

Cost-to-charge ratioDisaster preparednessHospital financeHurricane riskRural hospitals

Identifiers

PMID41427102
PMCPMC12713790

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.