Context: Road traffic injuries is estimated to be the ninth leading cause of death across all age groups globally. People in need of trauma care, after a road crash, are most likely to survive if they receive definitive care within the first hour (Golden hour) after the crash. Essential prehospital care includes prompt communication, treatment, and transport of injured people to formal healthcare facilities.
Aims: To assess the availability and utilization pattern of existing facilities for post-crash emergency care in Aligarh.
Settings And Design: The present study was undertaken on two National highways- NH-91 and NH-93 and the connecting bypass roads of Aligarh district of Uttar Pradesh.
Subjects And Methods: All the individuals who met road traffic accident (RTA) between the earmarked areas from 1 October, 2018 to 30 September, 2019 and reported for treatment (either on their own or brought by relatives, passersby, ambulance or police) to the selected hospitals were included in the study.
Statistical Analysis Used: Data presented in the form of frequency tables and percentages.
Results: Out of 665 patients interviewed during the study period, 556 (83.61%) patients were males and 109 (16.39%) were females with M: ratio been 5.10:1. Among the first responders, 448 (67.36%) were lay persons and 42 (6.31%) were police personnel. 261 (39.25%) of patients received help within 10-30 min of RTA. Use of toll-free no. was limited to 265 (39.84%) patients. Ambulance was the mode of transport in 155 (23.30%) of RTA cases. 589 (88.58%) of patients reported to Government hospitals.
Conclusions: Post-crash emergency care is in nascent stage in Aligarh district of Uttar Pradesh. Toll free numbers and ambulances are available but proper utilization and quality of care is lacking. Lay person is the most important personnel in improving the post-crash care.
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http://dx.doi.org/10.4103/jfmpc.jfmpc_1251_19 | DOI Listing |
J Family Med Prim Care
November 2024
Central Bureau of Health Intelligence, Directorate General of Health Services, Ministry of Health and Family Welfare, New Delhi, India.
Background: Highways represent the most significant capital asset that any country's public sector holds. A system of national highways with easy access to ambulance and trauma centers is termed emergency rescue ready and helps reduce the mortality due to road accidents. Given the rich impetus for road infrastructure development by the government of India, there is a need to consider emergency rescue readiness on highways.
View Article and Find Full Text PDFAccid Anal Prev
May 2024
Civil Engineering Program, Ingram School of Engineering, Texas State University, RFM 5202, 601 University Drive, San Marcos, TX 78666, United States. Electronic address:
The Safe System Approach (SSA) has emerged as a comprehensive framework for enhancing traffic safety through system-wide interventions. This systematic review, conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, analyzes 82 relevant studies categorized based on the SSA pillars: safe road users, safe vehicles, safe speeds, safe roads, and post-crash care. The review provides insights into SSA's effectiveness in reducing road traffic fatalities and injuries, exploring implementation challenges and opportunities, including policy initiatives, institutional frameworks, and stakeholder collaborations.
View Article and Find Full Text PDFAccid Anal Prev
December 2023
Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, USA; Virginia Tech Transportation Institute, Virginia Tech, Blacksburg, USA.
The ability of emergency medical services (EMS) personnel to understand the mortality and morbidity risks associated with different injuries is critical for effective motor vehicle collision (MVC) post-crash care. Interwoven with this ability is the practice of accurate and efficient patient triage. Triage allows EMS to gain a better understanding of the physiological and physical status of a patient and their injuries, with the intention of identifying additional resources needed, potential treatment options, and the most appropriate care destination.
View Article and Find Full Text PDFJ Biomech Eng
March 2024
State Key Laboratory of Automotive Safety and Energy, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Accurate occupant injury prediction in near-collision scenarios is vital in guiding intelligent vehicles to find the optimal collision condition with minimal injury risks. Existing studies focused on boosting prediction performance by introducing deep-learning models but encountered computational burdens due to the inherent high model complexity. To better balance these two traditionally contradictory factors, this study proposed a training method for pre-crash injury prediction models, namely, knowledge distillation (KD)-based training.
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