根据母亲的医疗保健计划,东爪哇的区域/城市分组

Ainun Nufus
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引用次数: 1

摘要

产妇保健服务是地方政府必须开展的基本保健工作之一。良好的产妇保健服务影响产妇健康的程度。产妇保健程度以产妇死亡率(MMR)衡量。其中一个案例是2016年东爪哇省妇幼结合部麻疹复发率不断上升。东爪哇产妇死亡率高的主要原因是出血和先兆子痫。地方政府试图通过优化各个工作领域的孕产妇保健工作来减少产妇死亡率。本研究的目的是应用聚类完全联动分析来描述2016年东爪哇省孕产妇保健计划成果区域的分布。在聚类完全联动分析中使用的数据是数据比率的尺度。这种类型的研究是使用二手数据的非反应性研究。本研究使用的数据是2016年从东爪哇省卫生厅方案规划和预算分部获得的孕产妇保健服务概况数据。对聚类研究结果进行聚类分析,得到2个最优区聚类,统计伪f值最高为92,420。集群1产生4名地区成员,集群2产生34名成员。本研究的结论表明,集群1和集群2之间具有不同的特征。每个集群的命名是基于孕产妇保健方案实现的平均值的特征。集群1是一组计划完成状况低于目标的地区,而集群2是一组计划完成状况高于目标的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENGELOMPOKAN KABUPATEN/KOTA DI JAWA TIMUR BERDASARKAN PROGRAM PELAYANAN KESEHATAN IBU
Maternal health services are one of the basic health efforts that must be carried out by the local government. Good maternal health services affect the degree of maternal health. Maternal health degrees are measured by the Maternal Mortality Rate (MMR). One of the cases is the increasing return of MMR in East Java Province in 2016. The main causes of high MMR in East Java are bleeding and preeclampsia. Local governments try to reduce MMR by optimizing maternal health care efforts in various work areas.                    The purpose of this study is to apply the analysis of cluster complete linkage to describe the distribution of areas of achievement of maternal health care programs in East Java Province in 2016. The data used in the analysis of cluster complete linkage is the scale of data ratios. This type of research is non-reactive using secondary data. The data used in this study is the maternal health service profile data obtained from the program planning and budget sub-section of the East Java Provincial Health Office in 2016.                    The results of cluster analysis research were conducted to produce 2 optimum districts clusters, with the highest statistical pseudo-f value of  92,420. Cluster 1 produced 4 district members, while Cluster 2 produced 34 members.                    The conclusion of this study shows that between cluster 1 and cluster 2 has different characteristics. The naming of each cluster is based on the characteristics of the average value of the achievement of the maternal health care program. Cluster 1 is a group of districts whose program achievement status is below the target, while Cluster 2 is a group of districts whose program achievement status is above the target.
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