Evidence map›Paper›PMID 36541058›Full record

Observational studyJournal of the American Geriatrics Society2023

The relationship between exposure to Hurricane Harvey and mortality among nursing home residents.

Cassandra L Hua, Sweta Patel, Kali S Thomas, Lindsay J Peterson, Ross Andel, Lily Gordon, Dylan J Jester, David M Dosa

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  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 at 5 institutions in 1 country.

Cassandra L HuaU.S. Department of Veterans Affairs Medical Center, Center of Innovation in Long-Term Services and Supports, Providence, Rhode Island, USA.ORCID 0000-0003-1249-7088
Sweta PatelSchool of Public Health, Brown University, Providence, Rhode Island, USA.
Kali S ThomasU.S. Department of Veterans Affairs Medical Center, Center of Innovation in Long-Term Services and Supports, Providence, Rhode Island, USA.
Lindsay J PetersonSchool of Aging Studies, University of South Florida, Tampa, Florida, USA.
Ross AndelEdson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, USA.
Lily GordonSchool of Public Health, Brown University, Providence, Rhode Island, USA.
Dylan J JesterDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-9878-9633
David M DosaU.S. Department of Veterans Affairs Medical Center, Center of Innovation in Long-Term Services and Supports, Providence, Rhode Island, USA.
United States Department of Veterans Affairs · USBrown University · USArizona State University · USUniversity of California San Diego · USUniversity of South Florida · US

Funding

Strategic Approach to Facilitating Evacuation by Health Assessment of Vulnerable Elderly in Nursing Homes II (SAFE HAVEN II)R01AG060581 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI PETERSON, LINDSAY · 2018 to 2020
$2.1M
NIA NIH HHS R01 AG060581
6 · The paper itself

Abstract

backgroundNursing home (NH) residents are vulnerable to mortality after natural disasters. We examined NH residents' excess all-cause mortality associated with Hurricane Harvey, a unique disaster with long-lasting flooding effects. We also explored how mortality differed between short-stay and long-stay residents and by chronic conditions.

methodsWe conducted a retrospective observational study of Texas NH residents, comparing 30- and 90-day mortality among residents exposed to Hurricane Harvey in August 2017 to residents not exposed in the same location and time period during the previous 2 years. Data came from the Minimum Data Set Assessments and the Medicare Beneficiary Summary File. We used linear probability models to examine the association between hurricane exposure and mortality, adjusting for resident demographics, clinical acuity, and NH fixed effects. Models were stratified by short-stay and long-stay status. We also described differences in mortality by residents' chronic conditions.

resultsIn 2017, 18,479 Texas NH residents were exposed to Hurricane Harvey. Exposure to Hurricane Harvey was not significantly associated with 30-day mortality. However, 7.6% (95% CI: 7.2, 7.9) of long-stay residents died 90 days after exposure to Harvey, compared to 6.3% (95% CI: 6.0, 6.7) during 2015. Apparently, this effect was driven by chronic obstructive pulmonary disease (COPD) as approximately 9.2% of these residents died within 90 days after Harvey landing compared to 7.2% in 2015 (p < 0.01).

conclusionsHurricane exposure appears to have significant consequences for mortality among long-stay NH residents, which appear to materialize over the long-term (90 days post-hurricane in our study) and may not be apparent immediately (30 days post-hurricane in our study). NH residents with COPD may be particularly vulnerable to increased mortality risk following hurricane exposure. The results highlight the need to pay special attention to mortality risk in NH residents, particularly those with COPD, following hurricane exposure.

Indexed as

Cyclonic StormsNatural DisastersPulmonary Disease, Chronic ObstructiveAgedDeathHumansMedicareNursing HomesUnited Stateschronic obstructive pulmonary diseaselong-term carenatural disasters

Identifiers

PMID36541058
PMCPMC10023296
OpenAlexW4312094497

What OpenQuestion holds

Textmetadata
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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.