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      Emergency Department Use Among Assisted Living Residents After Hurricane Irma

      , , , ,
      Journal of the American Medical Directors Association
      Elsevier BV

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          The residential history file: studying nursing home residents' long-term care histories(*).

          To construct a data tool, the Residential History File (RHF), that summarizes information from Medicare claims and nursing home (NH) Minimum Data Set (MDS) assessments to track people through health care locations, including non-Medicare-paid NH stays.
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            No Calm After the Storm: A Systematic Review of Human Health Following Flood and Storm Disasters.

            Introduction How the burden of disease varies during different phases after floods and after storms is essential in order to guide a medical response, but it has not been well-described. The objective of this review was to elucidate the health problems following flood and storm disasters.
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              Validation of an algorithm for categorizing the severity of hospital emergency department visits.

              Differentiating between appropriate and inappropriate resource use represents a critical challenge in health services research. The New York University Emergency Department (NYU ED) visit severity algorithm attempts to classify visits to the ED based on diagnosis, but it has not been formally validated. To assess the validity of the NYU algorithm. A longitudinal study in a single integrated delivery system from January 1999 to December 2001. A total of 2,257,445 commercial and 261,091 Medicare members of an integrated delivery system. ED visits were classified as emergent, nonemergent, or intermediate severity, using the NYU ED algorithm. We examined the relationship between visit-severity and the probability of future hospitalizations and death using a logistic model with a general estimating equation approach. Among commercially insured subjects, ED visits categorized as emergent were significantly more likely to result in a hospitalization within 1-day (odds ratio = 3.37, 95% CI: 3.31-3.44) or death within 30-days (odds ratio = 2.81, 95% CI: 2.62-3.00) than visits categorized as nonemergent. We found similar results in Medicare patients and in sensitivity analyses using different probability thresholds. ED overuse for nonemergent conditions was not related to socio-economic status or insurance type. The evidence presented supports the validity of the NYU ED visit severity algorithm for differentiating ED visits based on need for hospitalization and/or mortality risk; therefore, it can contribute to evidence-based policies aimed at reducing the use of the ED for nonemergencies.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Journal of the American Medical Directors Association
                Journal of the American Medical Directors Association
                Elsevier BV
                15258610
                April 2021
                April 2021
                : 22
                : 4
                : 918-922.e1
                Article
                10.1016/j.jamda.2020.10.010
                33234448
                07f81024-89e7-4f0c-b504-793df32d8c6c
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

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