Suppr超能文献

生命统计:卢旺达基加利市伤害死亡率的估算

Vital Statistics: Estimating Injury Mortality in Kigali, Rwanda.

作者信息

Kim Woon Cho, Byiringiro Jean Claude, Ntakiyiruta Georges, Kyamanywa Patrick, Irakiza Jean Jacques, Mvukiyehe Jean Paul, Mutabazi Zeta, Vizir Jean Paul, Ingabire Jean de la Croix Allen, Nshuti Steven, Riviello Robert, Roger Selwyn O, Jayaraman Sudha P

出版信息

World J Surg. 2016 Jan;40(1):6-13. doi: 10.1007/s00268-015-3258-3.

Abstract

BACKGROUND

Globally, injury deaths largely occur in low- and middle-income countries. No estimates of injury associated mortality exist in Rwanda. This study aimed to describe the patterns of injury-related deaths in Kigali, Rwanda using existing data sources.

METHODS

We created a database of all deaths reported by the main institutions providing emergency care in Kigali—four major hospitals, two divisions of the Rwanda National Police, and the National Emergency Medical Service--during 12 months (Jan–Dec 2012) and analyzed it for demographics, diagnoses, mechanism and type of injury, causes of death, and all-cause and cause-specific mortality rates.

RESULTS

There were 2682 deaths, 57% in men, 67% in adults >18 year, and 16% in children <5 year. All-cause mortality rate was 236/100,000; 35% (927) were due to probable surgical causes. Injury-related deaths occurred in 22% (593/2682). The most common injury mechanism was road traffic crash (cause-specific mortality rate of 20/100,000). Nearly half of all injury deaths occurred in the prehospital setting (47%, n = 276) and 49% of injury deaths at the university hospital occurred within 24 h of arrival. Being injured increased the odds of dying in the prehospital setting by 2.7 times (p < 0.0001).

CONCLUSIONS

Injuries account for 22% of deaths in Kigali with road traffic crashes being the most common cause.Injury deaths occurred largely in the prehospital setting and within the first 24 h of hospital arrival suggesting the need for investment in emergency infrastructure. Accurate documentation of the cause of death would help policy makers make data-driven resource allocation decisions.

摘要

背景

在全球范围内,伤害死亡主要发生在低收入和中等收入国家。卢旺达尚无伤害相关死亡率的估计数据。本研究旨在利用现有数据源描述卢旺达基加利伤害相关死亡的模式。

方法

我们创建了一个数据库,纳入了基加利提供急诊护理的主要机构(四家主要医院、卢旺达国家警察的两个部门以及国家紧急医疗服务机构)在2012年1月至12月这12个月期间报告的所有死亡病例,并对其进行人口统计学、诊断、伤害机制和类型、死亡原因以及全因死亡率和特定原因死亡率分析。

结果

共有2682例死亡,其中男性占57%,18岁以上成年人占67%,5岁以下儿童占16%。全因死亡率为236/10万;35%(927例)可能是手术原因导致。伤害相关死亡占22%(593/2682)。最常见的伤害机制是道路交通事故(特定原因死亡率为20/10万)。几乎一半(47%,n = 276)的伤害死亡发生在院前环境,大学医院49%的伤害死亡发生在到达后24小时内。受伤使院前死亡几率增加2.7倍(p < 0.0001)。

结论

在基加利,伤害占死亡的22%,道路交通事故是最常见原因。伤害死亡主要发生在院前环境以及医院到达后的头24小时内,这表明需要投资于应急基础设施。准确记录死亡原因将有助于政策制定者做出基于数据的资源分配决策。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验