北苏门答腊省卫生绩效的空间制图和决定因素

W. Rindayati, Ing Mariani Hastuti, A. Asmara
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引用次数: 0

摘要

北苏门答腊省的卫生绩效在苏门答腊岛最低,各区/市之间存在差异。本研究旨在利用地理加权面板回归(GWPR)模型分析北苏门答腊省33个区/市的健康绩效因素,时间序列为2012-2019年。分析结果表明,影响卫生绩效的决定因素在各区/市之间存在差异,按影响因素分为15类,按开发区面积分为4类。收入变量对所有33个县都有显著的积极影响,教育变量对19个县有积极影响,人力卫生资源变量对12个县有积极影响,免疫变量对11个县有积极影响,适当的卫生设施变量对9个县有积极影响,政府在卫生部门的支出变量对5个县有积极影响,医疗设施变量对1个县即卡罗县有积极影响。尼亚斯岛地区的决定因素:收入、政府在卫生部门的支出和人力资源。西海岸地区:收入、教育和适当的卫生设施。东海岸地区:收入、教育、卫生、人力资源和免疫。决定高地区域在摄政/城市之间是不同的。为提高全省卫生发展绩效,有必要开展基于聚类方程和影响因素的空间分析。几乎所有地区都必须优先考虑增加收入、教育和人力卫生资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial mapping and determinants of health performance in North Sumatra province
The province of North Sumatra has the lowest health performance in Sumatra, with disparities amongst districts /cities. This study aims to analyze the health performance factor of North Sumatra districts/cities using a Geographically Weighted Panel Regression (GWPR) model analysis in 33 districts/cities with a time series of 2012-2019. The analysis results showed that the determinants of health performance differed between districts/cities grouped into 15 groups based on influencing factors and four clusters based on the area of the development areas. The income variable has a significant positive effect on all 33 districts, the education variable has a positive effect on 19 districts, the human health resources variable has a positive effect on 12 districts, the immunization variable has a positive effect on 11 districts, the proper sanitation variable has positive on nine districts, the government spending in health sector variable has positive on five districts, and the medical facility variable has positive on one district namely Karo. Determinants in the Nias Island Area: income, government spending in the health sector, and human resources. West Coast area: income, education, and proper sanitation. East Coast Area: income, education, health, human resources, and immunization. The determinant Highland area differs between regencies/cities. To improve the performance of health development in the province, it is necessary to carry out a spatial approach based on cluster equations and influencing factors. Increased income, education, and human health resources must be prioritized in almost all district areas.
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