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Effects of different crash data variables on EMS response time for a rural county in alabama

Response time of Emergency Medical Services (EMS) is an important factor related to preventable deaths in road crash incidents. This study focuses on analyzing the effects of different independent variables on the EMS Response Time (ERT). Independent variables considered for this investigation are t...

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Autores principales: Vanga, Sneha R., Ligrani, Phillip M., Doustmohammadi, Mehrnaz, Anderson, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067201/
https://www.ncbi.nlm.nih.gov/pubmed/35516717
http://dx.doi.org/10.4103/jfmpc.jfmpc_1592_21
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author Vanga, Sneha R.
Ligrani, Phillip M.
Doustmohammadi, Mehrnaz
Anderson, Michael
author_facet Vanga, Sneha R.
Ligrani, Phillip M.
Doustmohammadi, Mehrnaz
Anderson, Michael
author_sort Vanga, Sneha R.
collection PubMed
description Response time of Emergency Medical Services (EMS) is an important factor related to preventable deaths in road crash incidents. This study focuses on analyzing the effects of different independent variables on the EMS Response Time (ERT). Independent variables considered for this investigation are travel time, day of the week, crash severity, weather, time of the day, and lighting condition. Understanding outcomes resulting from variations of the considered parameters on ERT is crucial to minimize the possibility of adverse outcomes which are tied to different types of injuries, and vital to limit the prospect of fatalities. Crash data used for this study is from a rural county in Alabama where only one EMS control location is available. Results from the analysis indicate that ERT becomes larger as travel time increases. ERT is also larger on weekends than on weekdays. ERT is larger in the evening and night when compared with morning. When the weather is clear or cloudy, the ERT parameter is shorter. But when the weather is extreme, with mist, fog, or rain, the parameter is longer. When roads are dark, ERT is long. When daylight is present, the ERT is shorter. If the crash is fatal, the parameter is longer compared with situations when crash injuries are non-severe.
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spelling pubmed-90672012022-05-04 Effects of different crash data variables on EMS response time for a rural county in alabama Vanga, Sneha R. Ligrani, Phillip M. Doustmohammadi, Mehrnaz Anderson, Michael J Family Med Prim Care Original Article Response time of Emergency Medical Services (EMS) is an important factor related to preventable deaths in road crash incidents. This study focuses on analyzing the effects of different independent variables on the EMS Response Time (ERT). Independent variables considered for this investigation are travel time, day of the week, crash severity, weather, time of the day, and lighting condition. Understanding outcomes resulting from variations of the considered parameters on ERT is crucial to minimize the possibility of adverse outcomes which are tied to different types of injuries, and vital to limit the prospect of fatalities. Crash data used for this study is from a rural county in Alabama where only one EMS control location is available. Results from the analysis indicate that ERT becomes larger as travel time increases. ERT is also larger on weekends than on weekdays. ERT is larger in the evening and night when compared with morning. When the weather is clear or cloudy, the ERT parameter is shorter. But when the weather is extreme, with mist, fog, or rain, the parameter is longer. When roads are dark, ERT is long. When daylight is present, the ERT is shorter. If the crash is fatal, the parameter is longer compared with situations when crash injuries are non-severe. Wolters Kluwer - Medknow 2022-04 2022-03-18 /pmc/articles/PMC9067201/ /pubmed/35516717 http://dx.doi.org/10.4103/jfmpc.jfmpc_1592_21 Text en Copyright: © 2022 Journal of Family Medicine and Primary Care https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Vanga, Sneha R.
Ligrani, Phillip M.
Doustmohammadi, Mehrnaz
Anderson, Michael
Effects of different crash data variables on EMS response time for a rural county in alabama
title Effects of different crash data variables on EMS response time for a rural county in alabama
title_full Effects of different crash data variables on EMS response time for a rural county in alabama
title_fullStr Effects of different crash data variables on EMS response time for a rural county in alabama
title_full_unstemmed Effects of different crash data variables on EMS response time for a rural county in alabama
title_short Effects of different crash data variables on EMS response time for a rural county in alabama
title_sort effects of different crash data variables on ems response time for a rural county in alabama
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067201/
https://www.ncbi.nlm.nih.gov/pubmed/35516717
http://dx.doi.org/10.4103/jfmpc.jfmpc_1592_21
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