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Comparing road safety performance across countries: Do data source and type of mortality indicator matter?

机译:各国道路安全绩效比较:数据来源和死亡率指标类型重要吗?

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摘要

This study examined the impact of data source estimates (World Health Organization (WHO) versus Global Burden of Disease (GBD)) and the type of mortality indicator (population-based versus exposure-based mortality) on road safety performance evaluation. Data were derived from WHO publications and the GBD results tool, and we calculated mortality rate ratio (MRR) and differences in country ranking between the two data sources, plus differences in country rankings and in mortality changes between 2010 and 2013 for population-based and vehicle-based mortality. Of 172 countries in both datasets, 32 countries (19%) had low consistency across the two data sources (MRR = 0.49 or = 1.51). Using population-based mortality data to rank the 172 countries, 77 (45%) had = 20 position difference between the two data sources. Population-based vs. vehicle-based mortality data yielded = 20 position difference in 33 countries for WHO estimates and 42 for GBD estimates. Among the 80 countries having comparable population-based and vehicle-based GBD mortality rates over time, 9 countries displayed opposite changing directions - that is, the change increased in one mortality indicator but decreased in the other indicator between 2010 and 2013. Data source and type of mortality indicators yield a substantial impact on ranking road safety performance across countries, as they are widely used for decision-making by global and national policy-makers and injury researchers. The differences between WHO and GBD estimates may arise from inconsistencies in data input and estimation models. Exposure-based indicators should be preferred in road safety evaluation when data are available. Advanced research is needed to interpret large country variations in road traffic mortality and mortality progress and to develop strategies to narrow the gaps across countries.
机译:这项研究检查了数据来源估计值(世界卫生组织(WHO)与全球疾病负担(GBD))以及死亡率指标的类型(基于人口的死亡率与基于暴露的死亡率)对道路安全绩效评估的影响。数据来自WHO出版物和GBD结果工具,我们计算了死亡率比率(MRR)和这两个数据源之间的国家排名差异,以及2010年至2013年之间基于人群和疾病的国家排名和死亡率变化之间的差异。车辆死亡率。在两个数据集中的172个国家中,有32个国家(占19%)在两个数据源之间的一致性较低(MRR <= 0.49或> = 1.51)。使用基于人群的死亡率数据对172个国家进行排名,这两个数据源之间有77个(45%)的位置差≥20。在33个国家中,WHO估计值和GBD估计值的基于人口的死亡率与基于车辆的死亡率数据得出> = 20的位置差异。随着时间的推移,在基于人群和基于车辆的GBD死亡率方面可比的80个国家中,有9个国家显示出相反的变化方向-也就是说,在2010年至2013年之间,一个死亡率指标的变化有所增加,而另一个指标的变化却有所下降。死亡率指标的类型对各国道路安全绩效的排名产生重大影响,因为它们已被全球和国家政策制定者以及伤害研究人员广泛用于决策。 WHO和GBD估算之间的差异可能是由于数据输入和估算模型不一致造成的。有数据时,在道路安全评估中应首选基于暴露的指标。需要进行高级研究来解释大国在道路交通死亡率和死亡率进展方面的差异,并制定缩小各国之间差距的策略。

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  • 来源
    《Accident Analysis & Prevention》 |2018年第12期|129-133|共5页
  • 作者单位

    Cent S Univ, Xiangya Sch Publ Hlth, Dept Epidemiol & Hlth Stat, 110 Xiangya Rd, Changsha 410078, Hunan, Peoples R China;

    Cent S Univ, Xiangya Sch Publ Hlth, Dept Occupat & Environm Hlth, 110 Xiangya Rd, Changsha 410078, Hunan, Peoples R China;

    Cent S Univ, Xiangya Sch Publ Hlth, Dept Epidemiol & Hlth Stat, 110 Xiangya Rd, Changsha 410078, Hunan, Peoples R China;

    Cent S Univ, Xiangya Sch Publ Hlth, Dept Epidemiol & Hlth Stat, 110 Xiangya Rd, Changsha 410078, Hunan, Peoples R China;

    Univ Alabama Birmingham, Dept Psychol, Birmingham, AL 35294 USA;

    Cent S Univ, Xiangya Sch Publ Hlth, Dept Epidemiol & Hlth Stat, 110 Xiangya Rd, Changsha 410078, Hunan, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Road traffic injury; Data source; Indicator; Sustainable development goals;

    机译:道路交通伤害;数据源;指标;可持续发展目标;

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