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      Assessment of Regional Nursing Home Preparedness for and Regulatory Responsiveness to Wildfire Risk in the Western US

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          Key Points

          Question

          Are nursing homes at elevated risk of wildfire exposure likelier to meet federal emergency preparedness standards or subject to greater regulatory oversight?

          Findings

          In this cross-sectional study of 2218 nursing homes in the western US, regional heterogeneity in nursing home emergency preparedness for wildfire episodes was observed, and facilities at elevated exposure risk in the Mountain West and Pacific Northwest had poorer compliance with emergency preparedness criteria than unexposed facilities. Of the noncompliant facilities, exposed nursing homes in the Mountain West incurred longer times to reinspection than their unexposed counterparts.

          Meaning

          These findings suggest that there are opportunities to improve the regional responsiveness of nursing homes and regulatory oversight to surrounding environmental hazards.

          Abstract

          This cross-sectional study assesses emergency preparedness for and regulatory responsiveness to wildfires among nursing homes at elevated wildfire risk in the western US.

          Abstract

          Importance

          It is uncertain whether emergency preparedness and regulatory oversight for US nursing homes are aligned with local wildfire risk.

          Objective

          To evaluate the likelihood that nursing homes at elevated risk of wildfire exposure meet US Centers for Medicare & Medicaid Services (CMS) emergency preparedness standards and to compare the time to reinspection by exposure status.

          Design, Setting, and Participants

          This cross-sectional study of nursing homes in the continental western US from January 1, 2017, through December 31, 2019, was conducted using cross-sectional and survival analyses. The prevalence of high-risk facilities within 5 km of areas at or exceeding the 85th percentile of nationalized wildfire risk across areas overseen by 4 CMS regional offices (New Mexico, Mountain West, Pacific/Southwest, and Pacific Northwest) was determined. Critical emergency preparedness deficiencies cited during CMS Life Safety Code Inspections were identified. Data analysis was performed from October 10 to December 12, 2022.

          Main Outcomes and Measures

          The primary outcome classified whether facilities were cited for at least 1 critical emergency preparedness deficiency during the observation window. Regionally stratified generalized estimating equations were used to evaluate associations between risk status and the presence and number of deficiencies, adjusted for nursing home characteristics. For the subset of facilities with deficiencies, differences in restricted mean survival time to reinspection were evaluated.

          Results

          Of the 2218 nursing homes in this study, 1219 (55.0%) were exposed to elevated wildfire risk. The Pacific/Southwest had the highest percentage of both exposed (680 of 870 [78.2%]) and unexposed (359 of 486 [73.9%]) facilities with 1 or more deficiencies. The Mountain West had the largest difference in the percentage of exposed (87 of 215 [40.5%]) vs unexposed (47 of 193 [24.4%]) facilities with 1 or more deficiencies. Exposed facilities in the Pacific Northwest had the greatest mean (SD) number of deficiencies (4.3 [5.4]). Exposure was associated with the presence of deficiencies in the Mountain West (odds ratio [OR], 2.12 [95% CI, 1.50-3.01]) and the presence (OR, 1.84 [95% CI, 1.55-2.18]) and number (rate ratio, 1.39 [95% CI, 1.06-1.83]) of deficiencies in the Pacific Northwest. Exposed Mountain West facilities with deficiencies were reinspected later, on average, than unexposed facilities (adjusted restricted mean survival time difference, 91.2 days [95% CI, 30.6-151.8 days]).

          Conclusions and Relevance

          In this cross-sectional study, regional heterogeneity in nursing home emergency preparedness for and regulatory responsiveness to local wildfire risk was observed. These findings suggest that there may be opportunities to improve the responsiveness of nursing homes to and regulatory oversight of surrounding wildfire risk.

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          Most cited references19

          • Record: found
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          NCHS urban-rural classification scheme for counties.

          This report details the National Center for Health Statistics' (NCHS) development of the 2006 NCHS Urban-Rural Classification Scheme for Counties and provides some examples of how the scheme can be used to describe differences in health measures by urbanization level.
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            Is Open Access

            Association Between Exposure to Hurricane Irma and Mortality and Hospitalization in Florida Nursing Home Residents

            Key Points Question Was exposure to Hurricane Irma associated with an increased risk of hospitalization and mortality among nursing home residents in the 30 and 90 days after the storm compared with a control group? Findings In this cohort study of 61 564 nursing home residents exposed to Hurricane Irma and a control group of 61 813 nonexposed residents, the odds of a first hospitalization and mortality increased significantly at 30 and 90 days for those exposed. A long nursing home stay was associated with a greater risk for mortality compared with a short stay. Meaning Findings suggest that prioritizing heightened emergency preparedness in disaster situations for nursing home residents is warranted.
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              • Record: found
              • Abstract: not found
              • Article: not found

              Setting Wildfire Evacuation Triggers by Coupling Fire and Traffic Simulation Models: A Spatiotemporal GIS Approach

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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                26 June 2023
                June 2023
                26 June 2023
                : 6
                : 6
                : e2320207
                Affiliations
                [1 ]Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
                [2 ]National Clinician Scholars Program at Yale University, New Haven, Connecticut
                [3 ]Harvey Cushing/John Hay Whitney Medical Library, School of Medicine, Yale University, New Haven, Connecticut
                [4 ]Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
                [5 ]School of Public Health, Brown University, Providence, Rhode Island
                [6 ]Warren Alpert Medical School, Brown University, Providence, Rhode Island
                [7 ]Center of Innovation for Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
                [8 ]Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut
                [9 ]Department of Sociology, Yale University, New Haven, Connecticut
                Author notes
                Article Information
                Accepted for Publication: May 10, 2023.
                Published: June 26, 2023. doi:10.1001/jamanetworkopen.2023.20207
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2023 Festa N et al. JAMA Network Open.
                Corresponding Author: Natalia Festa, MD, MBA, National Clinician Scholars Program at Yale University, 333 Cedar St, PO Box 208088, New Haven, CT 06510 ( natalia.festa@ 123456yale.edu ).
                Author Contributions: Dr Festa and Ms Throgmorton had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Festa.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Festa, Throgmorton, Dosa.
                Critical revision of the manuscript for important intellectual content: Festa, Davis-Plourde, Chen, Zang, Kelly, Gill.
                Statistical analysis: Festa, Davis-Plourde, Zang.
                Obtained funding: Festa.
                Administrative, technical, or material support: Chen.
                Supervision: Dosa, Zang, Gill.
                Conflict of Interest Disclosures: Dr Gill reported receiving grants from the National Institutes of Health during the conduct of the study. No other disclosures were reported.
                Funding/Support: Dr Festa was supported by training grant T32 AG019134 from the National Institute on Aging (NIA) and by Clinical and Translational Science Award TL1 TR001864 from the National Center for Advancing Translational Sciences (NCATS). Dr Davis-Plourde was partially funded by Yale Clinical and Translational Science Award UL1 TR001863 from NCATS. The study was conducted at the Yale Claude D. Pepper Older Americans Independence Center, which is supported by grant P30 AG021342 from the NIA.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Data Sharing Statement: See Supplement 2.
                Article
                zoi230601
                10.1001/jamanetworkopen.2023.20207
                10293909
                37358851
                c48b88fc-4b9a-4b4b-8fd7-7966a8af3212
                Copyright 2023 Festa N et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 16 February 2023
                : 10 May 2023
                Categories
                Research
                Original Investigation
                Online Only
                Geriatrics

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