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      Vulnerability of Older Adults in Disasters: Emergency Department Utilization by Geriatric Patients After Hurricane Sandy

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          ABSTRACT

          Objective

          Older adults are a potentially medically vulnerable population with increased mortality rates during and after disasters. To evaluate the impact of a natural disaster on this population, we performed a temporal and geospatial analysis of emergency department (ED) use by adults aged 65 years and older in New York City (NYC) following Hurricane Sandy’s landfall.

          Methods

          We used an all-payer claims database to analyze demographics, insurance status, geographic distribution, and health conditions for post-disaster ED visits among older adults. We compared ED patterns of use in the weeks before and after Hurricane Sandy throughout NYC and the most afflicted evacuation zones.

          Results

          We found significant increases in ED utilization by older adults (and disproportionately higher in those aged ≥85 years) in the 3 weeks after Hurricane Sandy, especially in NYC evacuation zone one. Primary diagnoses with notable increases included dialysis, electrolyte disorders, and prescription refills. Secondary diagnoses highlighted homelessness and care access issues.

          Conclusions

          Older adults display heightened risk for worse health outcomes with increased ED visits after a disaster. Our findings suggest the need for dedicated resources and planning for older adults following a natural disaster by ensuring access to medical facilities, prescriptions, dialysis, and safe housing and by optimizing health care delivery needs to reduce the burden of chronic disease. ( Disaster Med Public Health Preparedness. 2018;12:184–193)

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          Most cited references41

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          Aging disaster: mortality, vulnerability, and long-term recovery among Katrina survivors.

          Data from this multiyear qualitative study of the effects of Hurricane Katrina and flooding in New Orleans suggest differences in how the elderly cope with disaster. At the time of the disaster, the elderly of New Orleans were at greater risk than other groups, and more elderly died than any other group during the storm and in the first year after. Those who did survive beyond the first year report coping with the long-term disaster aftermath better than the generation below them, experiencing heightened stresses, and feeling as if they are "aging" faster than they should. We offer insight on how we might define and characterize disasters, and illustrate that long-term catastrophes "age" in specific ways.
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            Disaster Impact Across Cultural Groups: Comparison of Whites, African Americans, and Latinos

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              Developing and validating a diabetes database in a large health system.

              One component of clinical information systems is a registry of patients. Registries allow providers to identify gaps in care at the population level. Registries also allow for rapid cycle continuous quality improvement, targeted practice change and improved outcomes. Most registries are built based on membership with an insurer or other selection criteria. Little, if any data exist on registries representing demographically heterogeneous populations. Administrative and clinical data for the period 1/1/2000-12/30/03 were examined. In total, 46,082,941 lab reports, 233,292,544 medical records, and 9,351,415 medical record abstracts, representing approximately 2 million unique patients were searched. The diabetes source population was identified by presence of any one of the following criteria: ICD-9 code 250 (diabetes) for inpatient, emergency room or outpatient visits; any hemoglobin A1c result; blood glucose >200mg/dl; or diabetes medication. A diagnosis of diabetes was verified by trained chart reviewers on a sample of patients. Single indicators and combinations were examined to determine optimal identification of these cases. In two separate validation studies, using two or more indicators or outpatient diagnosis maximized positive predictive value (PPV) (96 and 97%) and sensitivity (99 and 100%) and identified 55,807 individuals. When all patients with a single indicator of outpatient diagnosis (which had the highest single PPV of 94 and 95%) were included together with those having >or=2 indicators, the final sample size was 65,725. Two or more indicators or an out-patient-diagnosis identifies a sizeable and unselective diabetes database which can be used to track processes and outcomes.
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                Author and article information

                Journal
                Disaster Medicine and Public Health Preparedness
                Disaster med. public health prep.
                Cambridge University Press (CUP)
                1935-7893
                1938-744X
                April 2018
                August 02 2017
                April 2018
                : 12
                : 2
                : 184-193
                Article
                10.1017/dmp.2017.44
                28766475
                112110a5-68ff-42d9-95e2-e0a597139b01
                © 2018

                https://www.cambridge.org/core/terms

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