{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T04:07:06Z","timestamp":1744862826900,"version":"3.40.4"},"reference-count":12,"publisher":"Cambridge University Press (CUP)","license":[{"start":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T00:00:00Z","timestamp":1744761600000},"content-version":"unspecified","delay-in-days":105,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"funder":[{"DOI":"10.13039\/100015534","name":"Office of Patient Care Services, Department of Veterans Affairs","doi-asserted-by":"publisher","award":["N\/A"],"award-info":[{"award-number":["N\/A"]}],"id":[{"id":"10.13039\/100015534","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Disaster med. public health prep."],"published-print":{"date-parts":[[2025]]},"abstract":"Abstract<\/jats:title>\n\t \n\t Objectives<\/jats:title>\n\t Nursing Home residents are among the most at-risk populations during disasters. This study aimed to examine changes in nursing home non-COVID-19 mortality in Texas during Winter Storm Uri.<\/jats:p>\n\t <\/jats:sec>\n\t \n\t Methods<\/jats:title>\n\t Publicly available datasets were examined to determine whether nursing homes in Texas were associated with a change in non-COVID-19 nursing home mortality and a change in non-COVID-19 mortality differences compared to all other states in the 4 weeks following Winter Storm Uri. This study conducted a mixed-effects negative binomial spline analysis of non-COVID-19 mortality during the timeframe.<\/jats:p>\n\t <\/jats:sec>\n\t \n\t Results<\/jats:title>\n\t Although Texas suffered fewer deaths overall compared to the rest of the country, Texas experienced a 20% increase in non-COVID-19 deaths in the first 7 days of Winter Storm Uri, and a reduction in the change of deaths compared to all other states, indicating a 19% decrease in the difference between the 2 directly following the storm.<\/jats:p>\n\t <\/jats:sec>\n\t \n\t Conclusions<\/jats:title>\n\t Texas suffered a significant increase in non-COVID-19 nursing home mortality during Winter Storm Uri, but overall lower levels of mortality compared to the rest of the nation. Future research should examine other states or counties that experienced significant energy outages for a more comprehensive understanding of the storm\u2019s effects.<\/jats:p>\n\t <\/jats:sec>","DOI":"10.1017\/dmp.2025.86","type":"journal-article","created":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T08:23:12Z","timestamp":1744791792000},"source":"Crossref","is-referenced-by-count":0,"title":["Association of Texas Nursing Home Non-COVID-19 Mortality Following Winter Storm Uri: A Mixed-Effects Spline Analysis"],"prefix":"10.1017","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6613-2506","authenticated-orcid":false,"given":"Stephen","family":"Frochen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5177-6616","authenticated-orcid":false,"given":"Debra","family":"Saliba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9941-4275","authenticated-orcid":false,"given":"Aram","family":"Dobalian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2025,4,16]]},"reference":[{"key":"S1935789325000862_r9","unstructured":"9. [Dataset] National Centers for Environmental Information. February 2021 Climate at a Glance County Minimum Temperature Dataset; 2024. Accessed January 26, 2024. https:\/\/www.ncei.noaa.gov\/access\/monitoring\/climate-at-a-glance\/county\/mapping\/110\/tmin\/202102\/1\/rank."},{"key":"S1935789325000862_r8","unstructured":"8. [Dataset] National Institute of Environmental Health Sciences. Details for PVI Maps; 2023. Accessed February 1, 2022. https:\/\/covid19pvi.niehs.nih.gov\/."},{"key":"S1935789325000862_r12","unstructured":"12. Office of the Inspector General (OIG). COVID-19 Had a Devastating Impact on Medicare Beneficiaries in Nursing Homes during 2020. Published June 2021. Accessed September 26, 2024. https:\/\/oig.hhs.gov\/documents\/evaluation\/2701\/OEI-02-20-00490-Complete%20Report.pdf."},{"key":"S1935789325000862_r4","doi-asserted-by":"crossref","first-page":"e530","DOI":"10.1017\/dmp.2023.108","article-title":"Mortality surveillance during Winter Storm Uri, United States \u2013 2021","volume":"17","author":"Hanchey","year":"2023","journal-title":"Disaster Med Public Health Prep."},{"key":"S1935789325000862_r11","doi-asserted-by":"crossref","first-page":"948","DOI":"10.1016\/j.jamda.2021.03.010","article-title":"The adverse effects of the COVID-19 pandemic on nursing home resident well-being","volume":"22","author":"Levere","year":"2021","journal-title":"J Am Med Dir Assoc."},{"key":"S1935789325000862_r5","doi-asserted-by":"crossref","first-page":"2148","DOI":"10.1177\/07334648231175428","article-title":"Winter Storm Uri reduced availability of daily direct-care nurse staff in Texas nursing homes","volume":"42","author":"Jester","year":"2023","journal-title":"J App Gerontol."},{"key":"S1935789325000862_r2","unstructured":"2. Chidambaram, P , Neuman, T. COVID-19 has Claimed the Lives of 100,000 Long-term Care Residents and Staff. Kaiser Family Foundation. Published November 25, 2020. Accessed February 23, 2024. https:\/\/www.kff.org\/policy-watch\/covid-19-has-claimed-the-lives-of-100000-long-term-care-residents-and-staff\/."},{"key":"S1935789325000862_r6","doi-asserted-by":"crossref","unstructured":"6. [Dataset] Centers for Medicare and Medicaid Services (CMS). COVID-19 Nursing Home Data; 2022. Accessed February 1, 2022. https:\/\/data.cms.gov\/covid-19\/covid-19-nursing-home-data.","DOI":"10.1332\/policypress\/9781447365884.003.0001"},{"key":"S1935789325000862_r3","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.jamda.2006.11.004","article-title":"To evacuate or not to evacuate: lessons learned from Louisiana nursing home administrators following Hurricanes Katrina and Rita","volume":"8","author":"Dosa","year":"2007","journal-title":"J Am Med Dir Assoc."},{"key":"S1935789325000862_r10","doi-asserted-by":"crossref","first-page":"102592","DOI":"10.1016\/j.jhealeco.2022.102592","article-title":"Nursing home quality, COVID-19 deaths, and excess mortality","volume":"82","author":"Cronin","year":"2022","journal-title":"J Health Econ."},{"key":"S1935789325000862_r1","unstructured":"1. Senate, US . Left in the Dark: The Impact of the 2021 Texas Blackout on Long-term Care Residents and the Need to Improve Emergency Preparedness. Published February 22, 2023. Accessed February 23, 2024. https:\/\/www.finance.senate.gov\/imo\/media\/doc\/02222023%20Left%20in%20the%20Dark%20-%20Wyden-Casey%20final.pdf."},{"key":"S1935789325000862_r7","unstructured":"7. [Dataset] Centers for Medicare and Medicaid Services (CMS). Nursing Homes Including Rehab Services; 2022. Accessed February 1, 2022. https:\/\/data.cms.gov\/provider-data\/topics\/nursing-homes."}],"container-title":["Disaster Medicine and Public Health Preparedness"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S1935789325000862","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T08:23:19Z","timestamp":1744791799000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S1935789325000862\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":12,"alternative-id":["S1935789325000862"],"URL":"https:\/\/doi.org\/10.1017\/dmp.2025.86","relation":{},"ISSN":["1935-7893","1938-744X"],"issn-type":[{"value":"1935-7893","type":"print"},{"value":"1938-744X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"article-number":"e98"}}