Traffic injuries of pre-hospital treatment in the urban area of Beijing

OBJECTIVE: To evaluate the current condition of urban road traffic injuries (RTIs) according to Beijing Emergency Medical Center (BEMC) from Jan. 1, 2004 to Dec. 31, 2010, analyze the social characteristics and explore the possible methods for prevention and improvement.

METHODS: Using data from the Beijing Emergency Medical Center, we collected 19 550 victims who were involved in RTIs in Beijing from Jan. 1, 2004 to Dec. 31, 2010. The personal information, time of the injury event, road user type and striking vehicle type, as well as the site and severity of injury, were analyzed using Excel 2007 and SPSS 17.0 software with ANOVA of variance and Chi-squared tests.

RESULTS: The annual rate of RTIs was 120.0 per 100 000 people in Beijing, and the mortality rate was about 4.97 per 100 000 people. Male victims were more than female victims (11 737 persons vs. 7 618 persons).The mean age was (72.92 ± 5.67) years. Overall, RTIs in all the age groups happened in October commonly, and were inclined to daytime, especially at noon. But different age groups had their special hour distribution features of RTIs. Traffic collisions occurred most frequently in pedestrians and cyclists (7 588,38.81%;3 790,19.39%). Majorities of victims presented with head injuries and lower-limb injuries(8 343,42.68%; 6 828,34.93%). These collisions included car striking accidents (11 490, 58.77%). And most of the older adults were classified as medium in severity (11 718, 59.94%).

CONCLUSION: The prevention and treatment of RTIs, should focus on targeted prevention solutions and standardized pre-hospital rescue, according to specific population, time interval and vehicle usage.

Medienart:

Artikel

Erscheinungsjahr:

2014

Erschienen:

2014

Enthalten in:

Zur Gesamtaufnahme - volume:46

Enthalten in:

Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences - 46(2014), 5 vom: 18. Okt., Seite 777-81

Sprache:

Chinesisch

Beteiligte Personen:

An, Shuai [VerfasserIn]
Wang, Tian-bing [VerfasserIn]
Zhang, Pei-xun [VerfasserIn]
Yin, Xiao-feng [VerfasserIn]
Fan, Da [VerfasserIn]
Zhang, Jin-jun [VerfasserIn]
Jiang, Bao-guo [VerfasserIn]

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 08.09.2015

Date Revised 02.12.2018

published: Print

Citation Status MEDLINE

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM242936008