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Community workers contribution for data quality improvement in routine health information system: Live births number estimation by capture recapture method

机译:社区工作者对常规健康信息系统中数据质量改善的贡献:通过捕获重获方法估算活产婴儿数

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The lack of reliable vital statistics raises questions about the role of the health information system in acquiring such data, which are essential for planning health services and for the general management of the population’s needs. This study analyzed completeness of the vital data registration system and assessed the potential contribution of a community worker net-work to this system in rural Benin. The capture-recapture method was used in this interventional study to estimate the number of live births from three sources: the Routine Health Information System, the municipality, and community workers in two groups of villages. Log linear modelling was carried out with a Bayesian Information Criterion-weighted estimate of the number of live births. The exhaustiveness of the Routine Health Information System was improved by the contribution of the community workers from 29.3% to 42.5% in the first group, and from 61.7% to 77.5% in the second group. Estimating live births by the capture method in rural settings based on the contribution of community workers could be a more efficient alternative to censuses in acquiring reliable vital statistics.
机译:缺乏可靠的生命统计数据引起了人们对卫生信息系统在获取此类数据中的作用的疑问,这对于规划卫生服务和总体管理人口需求至关重要。这项研究分析了重要数据注册系统的完整性,并评估了贝宁农村社区工作者网络对该系统的潜在贡献。在这项干预性研究中,采用了捕获-捕获方法从三个来源估算活产婴儿的数量:常规卫生信息系统,市政当局和两组村庄的社区工作者。使用贝叶斯信息准则加权估计的活产婴儿数进行对数线性建模。社区工作者的贡献使常规健康信息系统的详尽度从第一组的29.3%提高到42.5%,在第二组中从61.7%提高到77.5%。在农村地区,基于社区工作者的贡献,采用捕获方法估算活产数可能是普查获得可靠生命统计数据的一种更有效的选择。

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