IJHSR

International Journal of Health Sciences and Research

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Year: 2025 | Month: August | Volume: 15 | Issue: 8 | Pages: 230-237

DOI: https://doi.org/10.52403/ijhsr.20250827

Epidemiology of 27046 Pre-Hospital Trauma Patients: A Retrospective Cohort Study

Jin Xiaosheng1, Ye Kan2, Zhang Gai3, Chen E4

1Professor, 2,3,4Associate Professor, Department of Emergency Medicine,
Medical Emergency Service of Wenzhou, Zhejiang Province, China

Corresponding Author: Jin Xiaosheng

ABSTRACT

Background: This study analyzes the epidemiological characteristics of pre-hospital emergency trauma patients in Wenzhou City from 2023 to 2024, aiming to provide a basis for formulating effective pre-hospital emergency trauma prevention and control measures.
Method: We reviewed 27,046 emergency trauma cases that met the inclusion and exclusion criteria in the medical record system database of Wenzhou Emergency Center from 2023 to 2024 and conducted a descriptive epidemiological analysis of the cases from multiple perspectives based on various causes of trauma.
Results: Among the 27,046 trauma patients, 60.7% were male and 39% were female, with a gender ratio of 1.5:1. The age group with the highest incidence of trauma is 35 to 65 years old, accounting for 49.9% of cases. Highways and streets are the main places where trauma occurs, with a frequency of 61.0%. The main causes of injuries were traffic accidents and falls, accounting for 39.2% and 33.6% respectively. The central city area has the highest number of trauma patients. There are two peak traffic accident injuries daily, at 8 a.m. and 6 p.m. Fall injury associations peaked between 8 a.m. and 9 a.m. and tapered off after that. The average time it took the ambulance to arrive at the scene in the morning was 8 minutes and 46 seconds, and the time it took to transport the injured to the hospital was 9 minutes and 46 seconds. The four-minute breakdown of these times ranges from 5 minutes and 27 seconds to 11 minutes and 33 seconds.
Conclusion: The pre-hospital emergency trauma in Wenzhou City exhibits distinct regional distribution characteristics. This information is significant for the rational allocation of emergency resources and the development of effective trauma prevention and control measures.

Key words: Pre-hospital trauma; traffic accidents; epidemiology

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