Emergency Medical Services Response Times to Motor Vehicle Crashes Increased over the Period 1987 to 2015

2018 ◽  
Author(s):  
Patrick Gravell
Keyword(s):  
Response Time ◽  
Emergency Medical Services ◽  
Arrival Time ◽  
Motor Vehicle ◽  
Response Times ◽  
Motor Vehicle Crashes ◽  
Hospital Arrival ◽  
The Past ◽  
Emergency Medical ◽  
The Individual

Emergency Medical Services (EMS) response time to motor vehicle crashes (MVC’s) have been studied to determine if reducing the individual components of EMS response time (notification, arrival at the crash scene, and hospital arrival) may affect survival rates. It has been proposed that a reduction to 1 and 15- minute EMS notification and arrival times at the crash would result in 1.84% and 5.2% fewer fatalities. The aim of this study was to analyze the changes in EMS response times (notification, arrival at the crash scene, and hospital arrival) over the past three decades, both individually and overall. An important change in the past three decades is the increased use of cellular phones. Therefore, we hypothesized that EMSnotification time would have decreased over the timeframe, yielding an overall decrease in EMS response time. Our data are based on the Fatal Accident Reporting System (FARS) using the variables: Time of Crash, EMS Notification Time, EMS Arrival Time, EMS Hospital Arrival Time. This gives a total of 248,981 valid cases following the implementation of our inclusion criteria and truncation of the dataset to the 99th percentile to eliminate unexplainable outliers. We computed the individual and overall median EMS response times for each year from 1987 to 2015. Additionally, we analyzed the response times based on four separate crash factors: weather, total vehicles involved, time of day, and state population density. From 1987 to 2015 the individual EMS response times changed; while notification time has decreased, the arrival at both crash scene and hospital have steadily increased, resulting in overall increased total EMS response time.

scholarly journals Spatio-temporal Analysis of Cardiovascular Emergency Medical Requests: To Inform Policy and Practice

2020 ◽  
Author(s):  
Ali Azimi ◽  
Nasser Bagheri ◽  
Mostafa Mostafavi ◽  
MaryAnne Furst ◽  
Soheil Hashtarkhani ◽  
...  
Keyword(s):  
Response Time ◽  
Geographical Information Systems ◽  
Arrival Time ◽  
Geographical Information ◽  
Eastern Region ◽  
Cross Sectional ◽  
Important Indicator ◽  
Hospital Arrival ◽  
Emergency Medical ◽  
Related Mortality

Abstract Background:Response time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) related mortality. This study aims to develop an index of response time and investigate potential clusters in the pattern of CVD-related calls over time and space.Methods:This cross-sectional study was conducted in Mashhad, north-eastern Iran, between August 2017 and December 2019. An emergency medical service (EMS) response time matrix to CVD-related calls was computed using spatial and classical statistical analyses. The Anselin Local Moran's I was performed to identify potential clusters in the patterns of CVD-related calls, response time, call-to-hospital arrival time, and scene-to-hospital arrival time at small area level (neighborhood level) in Mashhad, Iran.Results:There were 84,239 CVD-related emergency request calls, of which 60.21 percent were transported to clinical centers by EMS, and 2.62 percent (a total of 2203 persons) died before EMS arrival. The number of CVD-related emergency calls increased by almost 15% in 2018 and 20% in 2019. The peak in the number of calls occurred between 9 p.m. and 1 a.m., and the lowest number of calls were recorded between 3 a.m. and 9 a.m. Saturday was the busiest day of week in terms of call volume. There were statistically significant clusters in the pattern of CVD-related calls in the south-eastern region of Mashhad. Further, we found a large spatial variation in scene-to-hospital arrival time and call-to-hospital arrival time in the area under study.Conclusion:The use of geographical information systems and spatial analyses in modelling and quantifying EMS response time provides a new vein of knowledge for decision makers in emergency services management. This also enables policy makers to design tailored interventions to improve response time and reduce CVD-related mortality.

Does increased emergency medical services prehospital time affect patient mortality in rural motor vehicle crashes? A statewide analysis

2009 ◽  
Vol 197 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Richard P. Gonzalez ◽  
Glenn R. Cummings ◽  
Herbert A. Phelan ◽  
Madhuri S. Mulekar ◽  
Charles B. Rodning
Keyword(s):  
Emergency Medical Services ◽  
Motor Vehicle ◽  
Motor Vehicle Crashes ◽  
Medical Services ◽  
Vehicle Crashes ◽  
Emergency Medical ◽  
Prehospital Time

Emergency Response Times for Fatal Motor Vehicle Crashes, 1975–2017

2020 ◽  
Vol 2674 (8) ◽  
pp. 504-510
Author(s):  
Maria C. Cruz ◽  
Nicholas N. Ferenchak
Keyword(s):  
Response Time ◽  
Emergency Response ◽  
Traffic Safety ◽  
Road Safety ◽  
Motor Vehicle ◽  
Response Times ◽  
The United States ◽  
Motor Vehicle Crashes ◽  
Vehicle Crashes ◽  
National Trend

Emergency response times are an important component of road safety outcomes. Research has shown that there are potential benefits from shortened response times in patient outcomes for motor vehicle crashes. While a safety analysis may identify a decrease in traffic fatalities, that decrease may be a result of improved road safety or it may simply reflect improved emergency response times. However, it is currently unclear how emergency response times have changed over the last few decades. With data from the Fatality Analysis Reporting System (FARS), we identify the national trend in emergency response times from 1975 through 2017. To control for changes in response time, we analyze crashes that resulted in an immediate death. Results suggest that emergency response times have improved by approximately 50% over this timeframe. Additionally, we analyze response time trends in three states (North Carolina, Georgia, and Louisiana) that had consistent data and large sample sizes, finding patterns similar to the national trend. Outcomes suggest higher response times in rural areas. High standard deviations of average response times observed from 2003 to 2008 indicate a need for improvement in data collection. Future work could aim to better understand and reduce response times specific to certain regions and understand the effect of the popularization of cell phone usage. Our findings have important implications for fatality-based traffic safety analyses. Improving response time could help continue the trend of reduced mortality rates caused by motor vehicle crashes in the United States.

scholarly journals A comparison of pre-hospital emergency medical services’ response and duration times in urban versus rural areas of Saudi Arabia

2020 ◽  
Vol 17 ◽  
Author(s):  
Ahmed Ramdan M Alanazy ◽  
Stuart Wark ◽  
John Fraser ◽  
Amanda Nagle
Keyword(s):  
Saudi Arabia ◽  
Response Time ◽  
Emergency Medical Services ◽  
Outcome Measures ◽  
Rural Areas ◽  
Response Times ◽  
Medical Services ◽  
Industrial Accidents ◽  
Emergency Medical ◽  
Urban Versus

Background Response impacts on treatment outcomes, particularly for time-sensitive illnesses, including trauma. This study compares key outcome measures for emergency medical services (EMS) operating in urban versus rural areas in the Riyadh region of Saudi Arabia. Methods A cross-sectional study of EMS users was conducted using a random sampling method. Primary outcome measures were response time, on-scene time, transport time interval and survival rates. Secondary outcomes were the length of stay in the intensive care unit and hospital. Data were compared between the urban and rural groups using the t-test and chi-square test. Results Eight-hundred patients (n=400 urban, n=400 rural) were included in the final analysis. Cases in rural areas had significantly higher response times and duration times (median response 15 vs. 22 minutes, median duration 43 vs. 62 minutes). Response times were significantly longer for rural areas for MVC, industrial accidents, medical incidents and trauma, but there was no significant difference in duration time for industrial accidents. While urban areas had significantly shorter response times for all incident types, there was no difference with rural areas in duration time for chest injury, gastrointestinal, neurological or respiratory problems. Conclusion The findings indicate that response time and duration differs between urban and rural locations in a number of key areas. The factors underlying these differences need to be the subject of specific follow-up research in order to make recommendations as to the best way to improve EMS in Saudi Arabia and to close the gap in rural and urban service delivery.

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