Literature DB >> 23905750

The effect of earlier or automatic collision notification on traffic mortality by survival analysis.

Jingshu Wu1, Rajesh Subramanian, Matthew Craig, Marc Starnes, Anders Longthorne.   

Abstract

OBJECTIVE: This article explores the effects of earlier emergency medical services (EMS) or automatic collision notification (ACN) and EMS arrival on passenger/driver survivability within the short time frame following traffic crashes.
METHODS: Survival analysis techniques are used extensively in this study, because traffic crash and EMS data are closely associated with time. The Kaplan-Meier estimator and life curves are applied to compare the survival rates between 2 or more conditions (e.g., earlier verus late EMS notification); The Weibull model with 3 parameters is used to predict mortality over time; furthermore, the Cox proportional hazard model explores multiple risk factors related to traffic mortality.
RESULTS: Based on Fatality Analysis Reporting System (FARS) data from 2005 to 2009, Kaplan-Meier life curves clearly showed the benefits associated with earlier notifications (approximately 1.84% fatality reduction within a time frame of 6 h after a crash) and earlier arrivals, and the Weibull model with 3 parameters reasonably predicted the fatality trends. The relative risks (RRs) associated with collision notification, arrival, location, and age were obtained from a multiple Cox regression model, and the relatively higher fatality hazard (2.4% higher) associated with the later notification of more than 1 min was studied in detail.
CONCLUSIONS: This article obtains the driver/passenger survival probability differences over time under different conditions of collision notifications, EMS arrivals, and crash locations; furthermore, this analysis provides an estimation of the lives that could potentially be saved (approximately 154 to 290 per year) due to earlier ACN.

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Year:  2013        PMID: 23905750     DOI: 10.1080/15389588.2013.799279

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  2 in total

Review 1.  Use, perceptions, and benefits of automotive technologies among aging drivers.

Authors:  David W Eby; Lisa J Molnar; Liang Zhang; Renée M St Louis; Nicole Zanier; Lidia P Kostyniuk; Sergiu Stanciu
Journal:  Inj Epidemiol       Date:  2016-12-19

2.  Determination of the Risk Factors That Influence Occurrence Time of Traffic Accidents with Survival Analysis.

Authors:  Burcu Oralhan; Ziya Gökalp Göktolga
Journal:  Iran J Public Health       Date:  2018-08       Impact factor: 1.429

  2 in total

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