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南非是否在缩小地区间的卫生差距?利用常规机构数据监测实现全民健康服务覆盖的进展情况。

Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data.

机构信息

Health Systems Trust, Durban, South Africa.

Discipline of Pharmaceutical Sciences, University of KwaZulu-Natal, Durban, South Africa.

出版信息

BMC Health Serv Res. 2021 Sep 13;21(Suppl 1):194. doi: 10.1186/s12913-021-06171-3.

Abstract

BACKGROUND

South Africa is committed to advancing universal health coverage (UHC). The usefulness and potential of using routine health facility data for monitoring progress towards UHC, in the form of the 16-tracer WHO service coverage index (SCI), was assessed.

METHODS

Alternative approaches to calculating the WHO SCI from routine data, allowing for disaggregation to district level, were explored. Data extraction, coding, transformation and modelling processes were applied to generate time series for these alternatives. Equity was assessed using socio-economic quintiles by district.

RESULTS

The UHC SCI at a national level was 46.1 in 2007-2008 and 56.9 in 2016-2017. Only for the latter period, could the index be calculated for all indicators at a district level. Alternative indicators were formulated for 9 of 16 tracers in the index. Routine or repeated survey data could be used for 14 tracers. Apart from the NCD indicators, a gradient of poorer performance in the most deprived districts was evident in 2016-2017.

CONCLUSIONS

It is possible to construct the UHC SCI for South Africa from predominantly routine data sources. Overall, there is evidence from district level data of a trend towards reduced inequity in relation to specific categories (notably RMNCH). Progress towards UHC has the potential to overcome fragmentation and enable harmonisation and interoperability of information systems. Private sector reporting of data into routine information systems should be encouraged.

摘要

背景

南非致力于推进全民健康覆盖(UHC)。评估了使用常规卫生机构数据监测 UHC 进展的有用性和潜力,方法是采用 16 项世卫组织服务覆盖面指标(SCI)。

方法

探索了从常规数据计算世卫组织 SCI 的替代方法,允许对区一级进行分类。对数据提取、编码、转换和建模过程进行了应用,以生成这些替代方法的时间序列。通过区一级的社会经济五分位数评估公平性。

结果

2007-2008 年全国 UHC SCI 为 46.1,2016-2017 年为 56.9。只有在后一时期,才能在区一级计算该指数的所有指标。为该指数的 16 个指标中的 9 个制定了替代指标。常规或重复调查数据可用于 14 个指标。除了非传染性疾病指标外,在 2016-2017 年,最贫困地区的表现明显较差。

结论

从主要常规数据源构建南非 UHC SCI 是可行的。总体而言,从区一级的数据来看,与特定类别(特别是 RMNCH)相关的不平等程度呈下降趋势。全民健康覆盖方面的进展有可能克服碎片化,实现信息系统的协调和互操作性。应鼓励私营部门将数据报告到常规信息系统中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d29/8436446/5b473c1eeb4c/12913_2021_6171_Fig1_HTML.jpg

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