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- Title
Analyses of Emergency Survival Rate after Traffic Accidents by the Exact and Asymptotic Distributions Statistics.
- Authors
Toshiko Sawaguchi; Keizo Sato; Daisuke Ikeda; Makiko Sugawa; Kazuo Kawahara
- Abstract
Objective: The aim of this study is to estimate the emergency survival rate after traffic accidents if this rate could analyze the prefecture difference. Design: The emergency survival rate & some related basic data by each prefecture in Hokuriku and by secondary medical areas in Niigata prefecture were calculated and the differences were analyzed. Materials and methods: As for the totalized Japan, each prefecture in all Japan and 4 prefectures in the Hokuriku area in Japan, the number of traffic accidents, the number of the injured persons, the number of the injured dead persons were extracted from the total statistic book edited by the National Police Agency. The same kind of data as for cities & towns in Niigata Prefecture were also extracted from the homepage of Niigata Prefecture in 2014, 2013 and 2012. Using these data, the emergency survival rate after traffic accidents were calculated using the following formula; The emergency survival rate after traffic accidents = (the number of the injured and dead persons after traffic accidents-the number of the injured persons after traffic accidents)/the number of the injured & dead persons after traffic accidents) Each rate by each 4 prefectures & by secondary medical area in Niigata was tested using non-parametric one-way ANOVA. SAS 9.3 was used for statistical analysis. Results: Significant differences were suggested as the following, between secondary medical area only using the Cramer- Mises test only as for the number of traffic accidents, the number of dead persons after traffic accidents, the number of injured & dead persons after traffic accidents and the number of injured persons after traffic accidents(CM < 0.05, 1 < CMa < 1.5). Conclusions: The emergency survival rate used here could be contributed to detect the difference of secondary medical area using specific asymptotic test for small number group.
- Subjects
JAPAN; HOSPITAL emergency services; RESEARCH funding; SURVIVAL; TRAFFIC accidents; DATA analysis software; DESCRIPTIVE statistics; KRUSKAL-Wallis Test; ONE-way analysis of variance
- Publication
International Medical Journal, 2016, Vol 23, Issue 6, p658
- ISSN
1341-2051
- Publication type
Article