The prehospital time impact on traffic injury from hospital fatality and inpatient recovery perspectives

被引:3
作者
Ferreira, Sara [1 ]
Amorim, Marco [1 ]
Couto, Antonio [1 ]
机构
[1] Univ Porto, Res Ctr Terr Transports & Environm CITTA, Dept Civil Engn, Rua Dr Roberto Frias, P-4200465 Porto, Portugal
关键词
injury severity; health care costs; length of hospital stay; prehospital time; traffic crash; MOTOR-VEHICLE CRASHES; RESPONSE-TIME; POLICE; SEVERITY; TRAUMA; MORTALITY; SERVICES; LINKAGE; COSTS; CARE;
D O I
10.1080/19439962.2019.1571548
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
A solid emergency medical service response is important to saving lives. Most past studies are however focused on the effect of response time on fatalities resulting from cardiac arrest and fewer from traffic crash. The present study aims to present an extensive analysis of the impact of prehospital time on traffic injuries covering two perspectives: hospital fatalities and victims recovery. The former is described by the probability of death, and the second is measured by two proxy variables named "length of hospital stay" (LHS) and "health care costs" (HCC). A binary model was used to analyze the probability of death and generalized linear models were applied separately to the LHS and HCC continuous variables. The random-parameter approach was considered. A linked data set, resulting from a linkage process between hospital and police data sets, was used. The results showed that the effect of prehospital time varies across observations and is positively correlated to LHS and HCC. Control variables such as age and sex of the victim, type of crash, hospital and injury severity classified by maximum abbreviated injury scale showed impact on the probability of death and on the inpatient recovery. The study results suggest the importance of actions to improve emergency service.
引用
收藏
页码:1025 / 1045
页数:21
相关论文
共 47 条
  • [1] Road safety and the urban emergency medical service (uEMS): Strategy station location
    Amorim, Marco
    Ferreira, Sara
    Couto, Antonio
    [J]. JOURNAL OF TRANSPORT & HEALTH, 2017, 6 : 60 - 72
  • [2] Linking Police and Hospital Road Accident Records How Consistent Can It Be?
    Amorim, Marco
    Ferreira, Sara
    Couto, Antonio
    [J]. TRANSPORTATION RESEARCH RECORD, 2014, (2432) : 10 - 16
  • [3] Actual incidences of road casualties, and their injury severity, modelled from police and hospital data, France
    Amoros, Emmanuelle
    Martin, Jean-Louis
    Lafont, Sylviane
    Laumon, Bernard
    [J]. EUROPEAN JOURNAL OF PUBLIC HEALTH, 2008, 18 (04) : 360 - 365
  • [4] Road crash casualties: Characteristics of police injury severity misclassification
    Amoros, Emmanuelle
    Martin, Jean-Louis
    Chiron, Mireille
    Laumon, Bernard
    [J]. JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 2007, 62 (02): : 482 - 490
  • [5] A note on modeling vehicle accident frequencies with random-parameters count models
    Anastasopoulos, Panagiotis Ch.
    Mannering, Fred
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2009, 41 (01) : 153 - 159
  • [6] [Anonymous], 2013, WHO global status report on road safety 2013: supporting a decade of action
  • [7] Association for the Advancement of Automotive Medicine, 2018, AB AIS
  • [8] Estimating the human recovery costs of seriously injured road crash casualties
    Bambach, M. R.
    Mitchell, R. J.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2015, 85 : 177 - 185
  • [9] Development of a robust mapping between AIS 2+ and ICD-9 injury codes
    Barnard, Ryan T.
    Loftis, Kathryn L.
    Martin, R. Shayn
    Stitzel, Joel D.
    [J]. ACCIDENT ANALYSIS AND PREVENTION, 2013, 52 : 133 - 143
  • [10] Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances
    Behnood, Ali
    Mannering, Fred
    [J]. ANALYTIC METHODS IN ACCIDENT RESEARCH, 2017, 16 : 35 - 47