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      Evacuation and Health Care Outcomes Among Assisted Living Residents After Hurricane Irma

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          Abstract

          This cohort study evaluates the association between evacuation and health care outcomes among Florida assisted living residents exposed to Hurricane Irma.

          Key Points

          Question

          What is the association between evacuation and health care outcomes among assisted living (AL) residents exposed to Hurricane Irma?

          Findings

          This cohort study of 25 130 Florida AL residents found that evacuation was associated with increased odds of emergency department use and nursing home placement within 30 days of the storm.

          Meaning

          These findings suggest evacuation may be associated with adverse outcomes after a hurricane among AL residents, which should be taken into consideration during emergency preparedness planning.

          Abstract

          Importance

          Evacuation has been found to be associated with adverse outcomes among nursing home residents during hurricanes, but the outcomes for assisted living (AL) residents remain unknown.

          Objective

          To examine the association between evacuation and health care outcomes (ie, emergency department visits, hospitalizations, mortality, and nursing home visits) among Florida AL residents exposed to Hurricane Irma.

          Design, Setting, and Participants

          Retrospective cohort study using 2017 Medicare claims data. Participants were a cohort of Florida AL residents who were aged 65 years or older, enrolled in Medicare fee-for-service, and resided in 9-digit zip codes corresponding to US assisted living communities with 25 or more beds on September 10, 2017, the day of Hurricane Irma’s landfall. Propensity score matching was used to match evacuated residents to those that sheltered-in-place based on resident and AL characteristics. Data were analyzed from September 2022 to February 2024.

          Exposure

          Whether the AL community evacuated or sheltered-in-place before Hurricane Irma made landfall.

          Main Outcomes and Measures

          Thirty- and 90-day emergency department visits, hospitalizations, mortality, and nursing home admissions.

          Results

          The study cohort included 25 130 Florida AL residents (mean [SD] age 81 [9] years); 3402 (13.5%) evacuated and 21 728 (86.5%) did not evacuate. The evacuated group had 2223 women (65.3%), and the group that sheltered-in-place had 14 556 women (67.0%). In the evacuated group, 42 residents (1.2%) were Black, 93 (2.7%) were Hispanic, and 3225 (94.8%) were White. In the group that sheltered in place, 490 residents (2.3%) were Black, 707 (3.3%) were Hispanic, and 20 212 (93.0%) were White. After 1:4 propensity score matching, when compared with sheltering-in-place, evacuation was associated with a 16% greater odds of emergency department visits (adjusted odds ratio [AOR], 1.16; 95% CI, 1.01-1.33; P = .04) and 51% greater odds of nursing home visits (AOR, 1.51; 95% CI, 1.14-2.00; P = .01) within 30 days of Hurricane Irma’s landfall. Hospitalization and mortality did not vary significantly by evacuation status within 30 or 90 days after the landfall date.

          Conclusions and Relevance

          In this cohort study of Florida AL residents, there was an increased risk of nursing home and emergency department visits within 30 days of Hurricane Irma’s landfall among residents from communities that evacuated before the storm when compared with residents from communities that sheltered-in-place. The stress and disruption caused by evacuation may yield poorer immediate health outcomes after a major storm for AL residents. Therefore, the potential benefits and harms of evacuating vs sheltering-in-place must be carefully considered when developing emergency planning and response.

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          Most cited references32

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          Matching methods for causal inference: A review and a look forward.

          When estimating causal effects using observational data, it is desirable to replicate a randomized experiment as closely as possible by obtaining treated and control groups with similar covariate distributions. This goal can often be achieved by choosing well-matched samples of the original treated and control groups, thereby reducing bias due to the covariates. Since the 1970's, work on matching methods has examined how to best choose treated and control subjects for comparison. Matching methods are gaining popularity in fields such as economics, epidemiology, medicine, and political science. However, until now the literature and related advice has been scattered across disciplines. Researchers who are interested in using matching methods-or developing methods related to matching-do not have a single place to turn to learn about past and current research. This paper provides a structure for thinking about matching methods and guidance on their use, coalescing the existing research (both old and new) and providing a summary of where the literature on matching methods is now and where it should be headed.
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            Making Neighborhood-Disadvantage Metrics Accessible — The Neighborhood Atlas

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              Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits

              Misclassification of Medicare beneficiaries’ race/ethnicity in administrative data sources is frequently overlooked and a limitation in health disparities research. To compare the validity of two race/ethnicity variables found in Medicare administrative data (EDB and RTI race) against a gold-standard source also available in the Medicare data warehouse: the self-reported race/ethnicity variable on the home health Outcome and Assessment Information Set (OASIS). Medicare beneficiaries over the age of 18 who received home health care in 2015 (N = 4,243,090). Percent agreement, sensitivity, specificity, positive predictive value (PPV), and Cohen’s kappa coefficient. The EDB and RTI race variable have high validity for Black race and low validity for American Indian/Alaskan Native race. While the RTI race variable has better validity than the EDB race variable for other races, kappa values suggest room for future improvements in classification of Whites (0.90), Hispanics (0.87), Asian/Pacific Islanders (0.77), and American Indian/Alaskan Natives (0.44). The status quo of using ‘good-enough for government’ race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data, available in the Medicare data warehouse. Health services and policy researchers should critically examine the source of race/ethnicity variables used in minority health and health disparities research. Future work to improve the accuracy of Medicare beneficiaries’ race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.
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                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                26 April 2024
                April 2024
                26 April 2024
                : 7
                : 4
                : e248572
                Affiliations
                [1 ]Department of Public Health, University of Massachusetts, Lowell
                [2 ]Center for Gerontology and Health Care Research, Brown University School of Public Health, Providence, Rhode Island
                [3 ]Johns Hopkins School of Nursing, Johns Hopkins University, Baltimore, Massachusetts
                [4 ]Women’s Operational Military Exposure Network Center of Excellence, VA Palo Alto Health Care System, Palo Alto, California
                [5 ]Florida Policy Exchange Center of Aging, School of Aging Studies, University of South Florida, Tampa
                [6 ]Edson College of Nursing and Health Innovation, Arizona State University, Phoenix
                [7 ]Memory Clinic, Department of Neurology, Charles University, Second Faculty of Medicine and Motol University Hospital, Czech Republic
                [8 ]Warren Alpert Medical School, Brown University, Providence, Rhode Island
                Author notes
                Article Information
                Accepted for Publication: February 28, 2024.
                Published: April 26, 2024. doi:10.1001/jamanetworkopen.2024.8572
                Open Access: This is an open access article distributed under the terms of the CC-BY-NC-ND License. © 2024 Hua CL et al. JAMA Network Open.
                Corresponding Author: Cassandra L. Hua, PhD, Department of Public Health, University of Massachusetts Lowell, 540 W O'Leary Library, 61 Wilder St, Ste 1, Lowell, MA 01854 ( cassandra_hua@ 123456uml.edu ).
                Author Contributions: Dr Hua had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Hua, Andel, Dosa.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Hua.
                Critical review of the manuscript for important intellectual content: All authors.
                Statistical analysis: Hua, Patel, Jester, Kosar, Andel.
                Obtained funding: Peterson, Dosa.
                Administrative, technical, or material support: Dobbs.
                Supervision: Peterson, Dosa.
                Conflict of Interest Disclosures:Dr Jester reported receiving personal fees from the AARP outside the submitted work. Dr Peterson reported receiving grants from The Borchard Foundation, the AARP, and Tampa Bay 211 outside the submitted work. No other disclosures were reported.
                Funding/Support: This research was supported by grant No. R01 AG060581 from the National Institute on Aging. Dr Andel was also funded by project No. LX22NPO5107 (MEYS), financed by European Union—Next Generation EU.
                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.
                Disclaimer: The contents do not represent the views of the US Department of Veterans Affairs or the United States Government.
                Data Sharing Statement: See Supplement 2.
                Article
                zoi240316
                10.1001/jamanetworkopen.2024.8572
                11053374
                38669016
                d4c03bd7-ea6c-40b3-a6ad-fd1aa8fd6e29
                Copyright 2024 Hua CL et al. JAMA Network Open.

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

                History
                : 17 October 2023
                : 28 February 2024
                Categories
                Research
                Original Investigation
                Online Only
                Geriatrics

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