赞比亚卢萨卡儿科死亡原因:定量地理信息系统方法

Kristen Sportiello, Mina Shah, Alexandra Buda, Isaiah Mwanza, Manoj Mathews, David R Bearden
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摘要

背景虽然赞比亚的儿童死亡率一直在下降,但仍然高达每 1000 例活产 58 例死亡。重要的是,造成赞比亚儿童死亡的许多主要原因都是可以预防的。本研究旨在确定赞比亚卢萨卡的儿童死亡集群、近期死亡儿童的死因、护理障碍以及死亡风险因素。方法本研究是一项前瞻性队列研究。当家庭成员或合法授权代表(LARs)前来卢萨卡儿童医院领取近期死亡儿童的死亡证明时,他们会接受访谈。每次访谈都包括口头尸检、确定儿童居住地和收集人口信息。此外,还收集了健康对照组的人口统计学数据。定量地理信息系统用于对死亡率进行可视化分析和聚类评估。结果主要死亡原因包括营养不良(21%)、慢性病并发症(16%)和中枢神经系统感染(13%),而主要的医疗障碍是费用(58%)和出行困难(53%)。与对照组相比,最近死亡的儿童来自收入明显较低的家庭(1905克瓦查对2412克瓦查,p = 0.03),而且有营养不良史的可能性明显更高(16.7%对1.4%,p = 0.005)。死亡率主要集中在卢萨卡两个人口密度高、低收入的社区。结论减少获得医疗服务的经济障碍和改善交通条件的系统可以降低卢萨卡的儿童死亡率。上述社区是采取公共卫生干预措施或改善医疗保健服务的理想地点。
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Causes of Pediatric Deaths in Lusaka, Zambia: A Quantitative Geographic Information Systems Approach
Background While childhood mortality has been declining in Zambia, it remains high at 58 per 1000 live births. Importantly, many leading causes of mortality in Zambia are preventable. This study was conducted to identify clusters of childhood mortality, causes of death of recently deceased children, barriers to care, and risk factors for mortality in Lusaka, Zambia. Methods This study was conducted as a prospective cohort study. Family members or lawfully authorized representatives (LARs) were interviewed when they came to pick up death certificates for recently deceased children from Lusaka Childrens Hospital. Each interview included a verbal autopsy, determination of the childs location of residence, and collection of demographic information. Demographic data was also collected from a healthy control group. Quantitative Geographic Information Systems was used to visualize mortality and evaluate for clustering. Results Leading primary causes of death included malnutrition (21%), complications of chronic illnesses (16%), and central nervous system infections (13%), while the leading barriers to care were cost (58%) and difficulties with travel (53%). Compared to controls, recently deceased children came from families with significantly lower incomes (1905 Kwacha vs. 2412 Kwacha, p = 0.03) and were significantly more likely to have a history of malnutrition (16.7% vs. 1.4%, p = 0.005). Mortality was clustered in two high-population density, low-income neighborhoods in Lusaka. Conclusions Systems to reduce financial barriers to care and improve access to transportation could reduce childhood mortality in Lusaka. The aforementioned neighborhoods are ideal locations for public health interventions or improved healthcare services.
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