解开谜团:探索印度西孟加拉邦Uttar Dinajpur地区Islampur C.D.街区卫生基础设施不平等中的孕产妇保健脆弱性

Prosenjit Kayal , Indrajit Roy Chowdhury
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引用次数: 0

摘要

本研究通过地理信息系统(GIS)建模,探讨了西孟加拉邦Uttar Dinajpur地区的Islampur cd块内孕产妇保健服务的空间差异。该研究涉及四个关键因素:卫生保健设施的可及性、政府服务区域的评估、服务不足地区的识别以及卫生保健利用的空间差异分析。通过采用道路网络分析、覆盖分析和主成分分析(PCA)等GIS技术,该研究揭示了人口压力、医疗保健人员分布和医疗保健设施邻近程度对孕产妇医疗保健服务(MHCS)的可及性和质量的重大影响。主成分分析表明,人口密度高、医疗资源有限的地区在获得孕产妇保健方面面临相当大的挑战,强调Gaisol-II Gram Panchayat (GP)是服务获得不平等程度最高的地区。相比之下,Gunjaria GP在获得医疗保健服务方面具有最高的正浓度指数。该研究强调,迫切需要采取有针对性的干预措施,如公平的医疗保健服务分配、平衡的医疗保健专业人员分配以及改善交通基础设施,以解决这些差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Untangling the thread: Exploring maternal healthcare vulnerability amidst unequal health infrastructure in Islampur C.D. Block, Uttar Dinajpur District, West Bengal, India
This study explores the spatial disparities in maternal healthcare services within the Islampur C.D. Block of Uttar Dinajpur district, West Bengal, through Geographic Information System (GIS) modeling. The research addresses four pivotal factors: accessibility of healthcare facilities, evaluation of government service areas, identification of underserved regions, and analysis of spatial disparities in healthcare utilization. By employing GIS techniques such as road network analysis, overlay analysis, and Principal Component Analysis (PCA), the study uncovers the significant influence of population pressure, the distribution of healthcare workforce, and proximity to healthcare facilities on the accessibility and quality of maternal healthcare services (MHCS). The PCA analysis identifies that areas with high population density and limited healthcare resources face considerable challenges in accessing maternal care, highlighting Gaisol-II Gram Panchayat (GP) as the area with the highest level of inequality in service access. In contrast, Gunjaria GP emerges with the highest positive Concentration Index for healthcare access. The study emphasizes the urgent need for targeted interventions, such as equitable healthcare service distribution, balanced allocation of healthcare professionals, and improvements in transportation infrastructure, to address these disparities.
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