Evidence map›Paper›PMID 36607635›Full record

ArticleJAMA network open2023

Association of Nursing Home Exposure to Hurricane-Related Inundation With Emergency Preparedness.

Natalia Festa, Kaitlin F Throgmorton, Nora Heaphy, Maureen Canavan, Thomas M Gill

Abstract read
In one paragraph

Article in JAMA network open, 2023. 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
  2. Article
  3. Article
  4. 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

5 authors.

Natalia FestaDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Kaitlin F ThrogmortonHarvey Cushing/John Hay Whitney Medical Library, School of Medicine, Yale University, New Haven, Connecticut.
Nora HeaphyDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.
Maureen CanavanDepartment of Internal Medicine, Cancer Outcomes and Public Policy and Effectiveness Research, Yale School of Medicine, New Haven, Connecticut.
Thomas M GillDepartment of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
NRSA Training CoreTL1TR001864 · NCATS · YALE UNIVERSITY · PI CANTLEY, LLOYD G, EDELMAN, E. JENNIFER · 2016 to 2025
$9.9M
Yale Training Program in Geriatric Clinical Epidemiology and Aging-Related ResearchT32AG019134 · NIA · YALE UNIVERSITY · PI Terri R. Fried · 2001 to 2026
$7.5M
NCATS NIH HHS TL1 TR001864NCATS NIH HHS UL1 TR001863NIA NIH HHS P30 AG021342NIA NIH HHS T32 AG019134
6 · The paper itself

Abstract

Importance: Whether US nursing homes are well prepared for exposure to hurricane-related inundation is uncertain. Objectives: To estimate the prevalence of nursing homes exposed to hurricane-related inundation and evaluate whether exposed facilities are more likely to meet Centers for Medicare & Medicaid Services (CMS) emergency preparedness standards. Design, Setting, and Participants: This cross-sectional study included CMS-certified nursing homes in Coastal Atlantic and Gulf Coast states from January 1, 2017, to December 31, 2019. The prevalence of facilities exposed to at least 2 feet of hurricane-related inundation used models from the National Hurricane Center across coastal areas overseen by 5 CMS regional offices: New England, New York metropolitan area, Mid-Atlantic region, Southeast and Eastern Gulf Coast, and Western Gulf Coast. Critical emergency preparedness deficiencies cited during CMS life safety code inspections were identified. Main Outcomes and Measures: The analysis used generalized estimating equations with binomial and negative binomial distributions to evaluate associations between exposure status and the presence and number of critical emergency preparedness deficiencies. Regionally stratified associations (odds ratios [ORs]) and rate ratios [RRs]) with 95% CIs, adjusted for state-level fixed effects and nursing home characteristics, were reported. Results: Of 5914 nursing homes, 617 (10.4%) were at risk of inundation exposure, and 1763 (29.8%) had a critical emergency preparedness deficiency. Exposed facilities were less likely to be rural, were larger, and had similar CMS health inspection, quality, and staffing ratings compared with unexposed facilities. Exposure was positively associated with the presence and number of emergency preparedness deficiencies for the nursing homes within the Mid-Atlantic region (adjusted OR, 1.91 [95% CI, 1.15-3.20]; adjusted RR, 2.51 [95% CI, 1.41-4.47]). Conversely, exposure was negatively associated with the number of emergency preparedness deficiencies among facilities within the Western Gulf Coast (aRR, 0.55 [95% CI, 0.36-0.86]). The associations for the number of emergency preparedness deficiencies remained after correction for multiple comparisons. Conclusions and Relevance: The findings of this cross-sectional study suggest that the association between exposure to hurricane-related inundation and nursing home emergency preparedness differs considerably across the Coastal Atlantic and Gulf regulatory regions. These findings further suggest that there may be opportunities to reduce regional heterogeneity and improve the alignment of nursing home emergency preparedness with surrounding environmental risks.

Indexed as

Civil DefenseCyclonic StormsAgedCross-Sectional StudiesHumansMedicareNursing HomesUnited States

Identifiers

PMID36607635
PMCPMC9856665

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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.