Individual characteristics associated with road traffic collisions and healthcare seeking in low- and middle-income countries and territories.
Individual characteristics associated with road traffic collisions and healthcare seeking in low- and middle-income countries and territories.
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DOI：
10.1371/journal.pgph.0002768
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发表时间：
2024
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道路交通碰撞（RTC）的发生率，所涉及的用户类型，以及事后的医疗保健需求是有效的政策制定的基本信息。我们分析了2008年至2019年期间在低收入或中等收入国家（LMIC）进行的全国代表性调查的个人数据。我们描述了在过去12个月的非致命RTC的加权发病率，涉及的道路使用者的类型，需要医疗照顾的交通伤害的发病率。多变量logistic回归分析用于评估相关的社会人口统计学和经济特征以及饮酒情况。数据来自15个国家或地区的90，790人。24-65岁受试者的非致死性RTC发生率为5.2%（95% CI：4.6-5.9），根据国家收入状况存在显著差异。驾驶员、乘客、行人和骑自行车的人分别占RTC的37.2%、40.3%、11.3%和11.2%。道路使用者类型的分布随收入水平的不同而不同，随着收入水平的提高，潜水者逐渐增多，自行车者逐渐减少。参与区域交通公司的道路使用者的类型也因所涉人员的年龄和性别而异，男性驾驶员的比例高于女性，而行人的比例则相反。在多变量分析中，RTC的发病率与年轻、男性、单身、教育程度高有关;与饮酒无关。在一项包括18-64岁受访者的敏感性分析中，结果相似，但RTC发病率与饮酒有关。需要医疗护理的伤害发生率为1.8%（1.6-2.1）。在多变量分析中，需要医疗照顾与年轻、男性和较高的财富五分位数相关。我们发现RTC的发病率，所涉及的道路使用者的类型，并根据国家的收入状况和社会人口特征的受伤后的医疗护理的要求显着的异质性。需要采取有针对性的数据知情方法来预防和管理区域贸易壁垒。
Incidence of road traffic collisions (RTCs), types of users involved, and healthcare requirement afterwards are essential information for efficient policy making. We analysed individual-level data from nationally representative surveys conducted in low- or middle-income countries (LMICs) between 2008–2019. We describe the weighted incidence of non-fatal RTC in the past 12 months, type of road user involved, and incidence of traffic injuries requiring medical attention. Multivariable logistic regressions were done to evaluate associated sociodemographic and economic characteristics, and alcohol use. Data were included from 90,790 individuals from 15 countries or territories. The non-fatal RTC incidence in participants aged 24–65 years was 5.2% (95% CI: 4.6–5.9), with significant differences dependent on country income status. Drivers, passengers, pedestrians and cyclists composed 37.2%, 40.3%, 11.3% and 11.2% of RTCs, respectively. The distribution of road user type varied with country income status, with divers increasing and cyclists decreasing with increasing country income status. Type of road users involved in RTCs also varied by the age and sex of the person involved, with a greater proportion of males than females involved as drivers, and a reverse pattern for pedestrians. In multivariable analysis, RTC incidence was associated with younger age, male sex, being single, and having achieved higher levels of education; there was no association with alcohol use. In a sensitivity analysis including respondents aged 18–64 years, results were similar, however, there was an association of RTC incidence with alcohol use. The incidence of injuries requiring medical attention was 1.8% (1.6–2.1). In multivariable analyses, requiring medical attention was associated with younger age, male sex, and higher wealth quintile. We found remarkable heterogeneity in RTC incidence, the type of road users involved, and the requirement for medical attention after injuries depending on country income status and socio-demographic characteristics. Targeted data-informed approaches are needed to prevent and manage RTCs.