Macharia Peter M, Ouma Paul O, Gogo Ezekiel G, Snow Robert W, Noor Abdisalan M
Kenya Medical Research Institute/Wellcome Trust Research Programme, Nairobi.
Geospat Health. 2017 May 11;12(1):510. doi: 10.4081/gh.2017.510.
At independence in 2011, South Sudan's health sector was almost non-existent. The first national health strategic plan aimed to achieve an integrated health facility network that would mean that 70% of the population were within 5 km of a health service provider. Publically available data on functioning and closed health facilities, population distribution, road networks, land use and elevation were used to compute the fraction of the population within 1 hour walking distance of the nearest public health facility offering curative services. This metric was summarised for each of the 78 counties in South Sudan and compared with simpler metrics of the proportion of the population within 5 km of a health facility. In 2016, it is estimated that there were 1747 public health facilities, out of which 294 were non-functional in part due to the on-going civil conflict. Access to a service provider was poor with only 25.7% of the population living within one-hour walking time to a facility and 28.6% of the population within 5 km. These metrics, when applied sub-nationally, identified the same high priority, most vulnerable counties. Simple metrics based upon population distribution and location of facilities might be as valuable as more complex models of health access, where attribute data on travel routes are imperfect or incomplete and sparse. Disparities exist in South Sudan among counties and those with the poorest health access should be targeted for priority expansion of clinical services.
2011年南苏丹独立时,其卫生部门几乎不存在。首个国家卫生战略计划旨在建立一个综合卫生设施网络,这意味着70%的人口距离医疗服务提供者在5公里以内。利用关于正常运作和已关闭的卫生设施、人口分布、道路网络、土地利用和海拔的公开数据,计算出在提供治疗服务的最近公共卫生设施步行1小时距离内的人口比例。对南苏丹78个县中的每一个县的这一指标进行了汇总,并与卫生设施5公里范围内人口比例这一更简单的指标进行了比较。2016年,估计有1747个公共卫生设施,其中294个无法正常运行,部分原因是持续的内战。获得服务提供者的机会很差,只有25.7%的人口居住在步行1小时可到达设施的范围内,28.6%的人口居住在5公里范围内。这些指标在国家以下层面应用时,确定了同样的高优先级、最脆弱的县。在旅行路线属性数据不完善、不完整且稀少的情况下,基于人口分布和设施位置的简单指标可能与更复杂的卫生服务可及性模型一样有价值。南苏丹各县之间存在差异,那些卫生服务可及性最差的县应成为临床服务优先扩大的目标。