Literature DB >> 33619002

A state-of-the-art review of factors that predict mortality among traumatic injury patients following a road traffic crash.

Rayan Jafnan Alharbi1, Virginia Lewis2, Charne Miller3.   

Abstract

BACKGROUND: Traffic related injuries are a major public health problem worldwide with millions of people dying every year. The objective of this state-of-the-art review was to identify the factors reported in the literature as being associated with mortality for trauma patients following road traffic crashes.
METHOD: A systematic search was undertaken of PubMed/MEDLINE, EMBASE, CINAHL, Web of Science, and Cochrane Library databases to identify articles published in the past two decades (2000-2020). Of 8257 records, 4507 remained for title, abstract and full text screening after duplicates were removed. The level of evidence of selected studies was assessed using The National Health and Medical Research Council (NHMRC) guideline.
RESULTS: This review included eighty primary research studies examining mortality risk factors following a road traffic crash. The study identified factors in five categories; (i) demographic factors; (ii) behavioural factors; (iii) crash characteristics; (iv) environmental and timing factors; (v) injury severity and pre-injury/condition. The primary studies are summarised in a matrix. Included studies included level II to level IV levels of evidence based on the NHMRC criteria.
CONCLUSION: This study shows that there are a large number of factors associated with increased risk of mortality following diverse types of traffic crashes. Understanding these wide-ranging factors can strengthen injury and mortality prevention by guiding decision makers about where to focus strategy implementation.
Copyright © 2021 College of Emergency Nursing Australasia. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Mortality risk factors; Traffic crashes; Transport injury; Traumatic injury

Mesh:

Year:  2021        PMID: 33619002     DOI: 10.1016/j.auec.2021.01.005

Source DB:  PubMed          Journal:  Australas Emerg Care        ISSN: 2588-994X


  1 in total

1.  Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data.

Authors:  Yookyung Boo; Youngjin Choi
Journal:  BMC Public Health       Date:  2022-08-02       Impact factor: 4.135

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.