Evidence map›Paper›PMID 40198067›Full record

ArticleJAMA network open2025

Winter Storm Uri, Mortality, and Health Care Use of Nursing Home Residents.

Brian Downer, Alexandra Holland, Shuang Li, Huiwen Xu

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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. Emergency Preparedness in Older Adults With and Without COPD During Power Outages and Natural Disasters.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
    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

4 authors.

Brian DownerThe University of Texas Medical Branch, School of Public and Population Health, Galveston.
Alexandra HollandThe University of Texas Medical Branch, School of Public and Population Health, Galveston.
Shuang LiSealy Center on Aging, The University of Texas Medical Branch, Galveston.
Huiwen XuNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia.

Funding

UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
HEALTH OF OLDER MINORITIEST32AG000270 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI Brian Gregory Downer, NEIL MEHTA · 1999 to 2026
$5.2M
The effectiveness and consequences of visitation bans in nursing homesR01AG081282 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Huiwen Xu · 2023 to 2026
$1.5M
Alzheimer's Special Care Units in Nursing Homes: Racial and Ethnic Disparities, Resident Outcomes, and State PoliciesR01AG087296 · NIA · EMORY UNIVERSITY · PI Huiwen Xu · 2024 to 2026
$1.2M
NIA NIH HHS P30 AG024832NIA NIH HHS R01 AG081282NIA NIH HHS R01 AG087296NIA NIH HHS T32 AG000270
6 · The paper itself

Abstract

Importance: Extreme weather events disproportionately affect vulnerable populations, particularly nursing home residents. In February 2021, Winter Storm Uri caused unprecedented power outages and water shortages across Texas. However, its impact on nursing home residents remains poorly understood. Objective: To assess the association of power outages and water shortages during Winter Storm Uri with mortality and health care utilization among long-stay nursing home residents in Texas. Design, Setting, and Participants: A retrospective cohort study of long-stay nursing home residents before and after Winter Storm Uri (February 14 to February 17, 2021) in Texas. Data analysis was conducted from March 2024 to January 2025. Exposure: Residing in a nursing home that experienced a power outage or water shortage during Winter Storm Uri. Main Outcomes and Measures: The outcome measures were weekly rates of mortality, clinician visits to nursing homes, emergency department (ED) visits, and hospitalizations among long-stay nursing home residents. Medicare claims were used to determine weekly mortality, clinician visits, ED visits, and hospitalizations 6 weeks before and 6 weeks after the storm. Differences-in-differences (DiD) analysis using 2-level logistic regression models estimated changes in outcomes associated with nursing home power or water loss. Results: Of 1174 nursing homes, 231 (19.7%) reported power or water outages. The sample included 45 439 long-stay residents, with 8521 in facilities with outages (mean [SD] age, 80.07 [12.21] years; 5664 female [66.47%]) and 36 918 in facilities without outages (mean [SD] age, 80.42 [11.92] years; 12 705 female [65.59%]). DiD analysis found that residents of nursing homes with outages had a 0.13% (95% CI, 0.03% to 0.23%) higher mortality rate in the 3 to 5 weeks after the storm than those without outages. There were no significant differences in clinician visits (DiD, -0.31%; 95% CI, -1.08% to 0.47%), ED visits (DiD, 0.11%; 95% CI, -0.12% to 0.34%), or hospitalizations (DiD, 0.07%; 95% CI, -0.10% to 0.23%). Conclusions and Relevance: In this cohort study of nursing home residents in Texas, power and water outages during Winter Storm Uri were associated with increased mortality but not ED visits or hospitalizations, highlighting the vulnerability of nursing home residents during extreme weather events.

Indexed as

Extreme WeatherMortalityNursing HomesPatient Acceptance of Health CareAgedAged, 80 and overEmergency Service, HospitalFemaleHospitalizationHumansMaleRetrospective StudiesSeasonsTexasWater Supply

Identifiers

PMID40198067
PMCPMC11979729

What OpenQuestion 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 OpenQuestion graph.