Analysis of the Characteristics of Patients with Road Traffic Accident Injuries Treated by Pre-hospital Emergency Services in Beijing

DOI: 10.12201/bmr.202508.00044

•  

  Abstract: Objective To understand the epidemiological characteristics of traffic injuries in Beijing can provide a theoretical basis for improving the pre-hospital emergency service capabilities and levels, strengthening multi-department joint governance, and increasing patient survival rates while reducing disability, mortality rates. Methods Descriptive statistical analysis of the characteristics of 9,207 patients with road traffic injuries in 2023, including age, gender, time, injury location, and injury severity, was conducted using Excel and SPSS software.Results Traumatic diseases rank first in the classification of emergency medical conditions in Beijing. Among them, road traffic accidents account for 37%. The ratio of male to female patients is 1.32:1. The largest number of patients are aged 31-40, accounting for approximately 25%. The proportion of underage patients and those aged 71 and above is 12.16%. The differences in gender and age distribution are statistically significant, while the differences in gender distribution among different age groups are not statistically significant. In terms of time distribution, road traffic accident injuries occur most frequently in September and least in January. There are more cases in summer and autumn, and fewer in winter and spring. The most common injury sites in road traffic accidents are limbs/skin and head and neck, accounting for 81.06%. Among the patients with moderate severity of injuries, the largest number is 85.29%. Conclusion To avoid road traffic accidents, prevention should be the priority. It is necessary to strengthen the joint governance of multiple departments and minimize the occurrence of road traffic injuries from the source；Pre-hospital emergency care must focus on key populations and key seasons, strengthen professional skills training and resource allocation, seize the platinum 10 minutes, ensure efficient and smooth connection between pre-hospital and in-hospital care, and make good use of the golden 1 hour; Popularize and publicize the importance of self-rescue and mutual rescue, promote first aid knowledge and skills training for the public, and create a social atmosphere where rescue is right beside us.

  Key words: Pre-hospital emergency care; Traumatic diseases; Road traffic accident injuries

  Submit time: 22 August 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• Xiang Zhenjun, Ji Yurong, Yu Hailing, Shao Shiyu, yanghua. Spatial Autocorrelation Analysis of Road Traffic Injuries from Beijing 120 Emergency Center. 2021. doi: 10.12201/bmr.202110.00034

  ZHANGLINA, WANGYONG, HUHONGPU, LEIXINGYUN, WANGYAN. Top level design of Beijing smart pre-hospital medical emergency information platform. 2023. doi: 10.12201/bmr.202303.00002

  Analysis of influencing factors on the effect of pre-hospital cardiopulmonary resuscitation in patients with cardiac arrest. 2025. doi: 10.12201/bmr.202507.00005

  LI Yingzhong. Research and implementation on intelligent prehospital emergency care based on 5G private network. 2023. doi: 10.12201/bmr.202303.00025

  Wanyanli. Investigation and analysis of health knowledge awareness among elderly diabetic patients in Dongcheng District, Beijing. 2022. doi: 10.12201/bmr.202207.00039

  xulu. Research and thinking on self-printing behavior characteristics of outpatient and emergency electronic medical record patients in a large grade A hospital. 2021. doi: 10.12201/bmr.202109.00008

  Zhu Xiaojing. . 2024. doi: 10.12201/bmr.202412.00015

  jihao. Research on 5G Emergency Medical Service abroad based on Multi-Perspective Analysis Framework. 2022. doi: 10.12201/bmr.202203.00002

  LU Feng, NIE hanlin, Dong Zhaomin, Zang bai, Wang Tianqi, Gao zhaixing, GUO Mo-ning. Analysis on cross-regional medical treatment-seeking of the hospitalized patients in Beijing, 2013-2022. 2023. doi: 10.12201/bmr.202311.00007

  ZHOU jian, ZHANG min, YANG xue, SHI Wenhui, SUN Zhiming. Spatial Distribution Characteristics of Tertiary General Hospital in Nanjing: a Geographical Analysis Based on GIS. 2022. doi: 10.12201/bmr.202210.00008

• ID	Submit time	Number	Download
  1	2025-06-12	bmr.202508.00044V1	Download

• Public  Anonymous  To author only Submit Comments