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" Identifying Frequent Users of an Urban Emergency Medical Service Using Descriptive Statistics and Regression Analyses "


Document Type : AL
Record Number : 933387
Doc. No : LA32b15672
Language of Document : English
Main Entry : Norman, Chenelle; Mello, Michael; Choi, Bryan
Title & Author : Identifying Frequent Users of an Urban Emergency Medical Service Using Descriptive Statistics and Regression Analyses [Article]\ Norman, Chenelle; Mello, Michael; Choi, Bryan
Title of Periodical : Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health
Volume/ Issue Number : 17/1
Date : 2016
Abstract : This retrospective cohort study provides a descriptive analysis of a population that frequently uses an urban emergency medical service (EMS) and identifies factors that contribute to use among all frequent users. For purposes of this study we divided frequent users into the following groups: low- frequent users (4 EMS transports in 2012), medium-frequent users (5 to 6 EMS transports in 2012), high-frequent users (7 to 10 EMS transports in 2012) and super-frequent users (11 or more EMS transports in 2012). Overall, we identified 539 individuals as frequent users.
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32b15672_28163.pdf
32b15672.pdf
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