Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain

被引:15
|
作者
Santolino, Miguel [1 ]
Bolance, Catalina [1 ]
Alcaniz, Manuela [1 ]
机构
[1] Univ Barcelona, Riskctr IREA, Dept Econometr, Barcelona 08034, Spain
来源
关键词
Body injuries; Heckit estimator; Semi-parametric estimator; Hausman test; VEHICLE ACCIDENT INJURIES; SAMPLE SELECTION; SINGLE-VEHICLE; STATISTICAL-ANALYSIS; TRAFFIC ACCIDENTS; CRASH INVOLVEMENT; TOBIT ANALYSIS; DRIVER AGE; SEVERITY; RISK;
D O I
10.1016/j.aap.2012.03.025
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
Hospital expenses are a major cost driver of healthcare systems in Europe, with motor injuries being the leading mechanism of hospitalizations. This paper investigates the injury characteristics which explain the hospitalization of victims of traffic accidents that took place in Spain. Using a motor insurance database with 16,081 observations a generalized Tobit regression model is applied to analyse the factors that influence both the likelihood of being admitted to hospital after a motor collision and the length of hospital stay in the event of admission. The consistency of Tobit estimates relies on the normality of perturbation terms. Here a semi-parametric regression model was fitted to test the consistency of estimates, concluding that a normal distribution of errors cannot be rejected. Among other results, it was found that older men with fractures and injuries located in the head and lower torso are more likely to be hospitalized after the collision, and that they also have a longer expected length of hospital recovery stay. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:512 / 519
页数:9
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