Soltani M, Asadi Manesh L, Rajabi Z. Predicting the time required for Eslamshahr Township emergency personnel to attend at the scene of a disaster. jorar 2012; 4 (3)
URL:
http://jorar.ir/article-1-131-en.html
MA in Biostatistics, Tehran university of Medical Sciences, Tehran, Iran
Abstract: (3955 Views)
Introduction: The first emergency medical services system was organized by Baron Dominique Jean Larrey-Napoleon's surgeon during the battle of France with Germany and Austria. After collapsing the roof of Mehrabad airport and killing a number of people, Iranian government decided to launch the pre-hospital emergency medical system in 1976. Eslamshahr is the main highway with approximately 500 thousand people. This township has only one hospital with 130 beds and 8 emergency centers; it has many traffic accidents in addition to common problems. The main goals of this study are to evaluate the performance of pre-hospital emergency and to determine the factors causing this loss because the time to reach patients and the injured side is an important factor. However, this time should be less than 8 minutes in the standard protocol.
Methods: In this cross-sectional research, all completed missions by Eslamshahr emergency were studied in 2007- 2008. The arrival time on patients and the injured side considered as an only dependent variable by cluster sampling method. Then, the response variable regression model and other variables is discussed (α=5%).
Findings: In this study, a total of 4267 data of users from six emergency services bases were selected and studied randomly. This number includes 3,210 urban missions and the rest were road missions. About 35/1% of people in need of services were women and the rest were men. The median age was 40/51 years for those in need (SD=19/815). In addition, the average time to reach the scene of the emergency has been 5':36" (SD=4':42"). Meanwhile, the peak time of mission was 15':43". Since the arrival time at the scene was linear, the chart is based on a linear regression model. Given the significant, level of 5% or even higher, the variables such as time of starting, summer and fall seasons vary significantly associated with time to reach the scene.
Conclusion: The results of comparison between the models obtained in the urban and the road bases have shown that the variable of working days had no affect on the arrival time to the scene in any models (p=5%). In addition, the variable of fall season had a significant effect on the arrival time to the scene in both models, although most missions have been conducted in summer.