Gayatri Menon
Independent Researcher
Karnataka, India
Abstract
The spatial distribution of healthcare facilities in rural Uttar Pradesh exhibits profound implications for health equity, service utilization, and population well‐being. This study undertakes an in‐depth, GIS‐driven examination of the placement, accessibility, and operational status of Primary Health Centres (PHCs), Community Health Centres (CHCs), and sub‐centres across three representative districts—Sitapur, Gorakhpur, and Jhansi. Drawing upon the Uttar Pradesh Health Department’s 2024 facility directory, 2011 Census data projected to 2023, and field‐verified GPS coordinates from 90 villages, we integrate spatial statistics (nearest neighbor analysis, kernel density estimation, Moran’s I) with network analysis to quantify facility clustering, service‐area coverage, and travel distances along actual road networks. Our analysis reveals pronounced clustering of CHCs and PHCs near district and block headquarters, with 35% of villages located beyond the World Health Organization’s recommended 5 km catchment of a PHC and 52% beyond 10 km of a CHC. Villages proximal to paved roads are more than twice as likely to be served within these thresholds (OR = 2.30; 95% CI [1.85, 2.87], p < .001). Field validation uncovered that 12% of sub‐centres were non‐operational and 5% of PHCs lacked essential staff, underscoring discrepancies between administrative records and ground reality. Spatial inequities correlate strongly with socioeconomic vulnerabilities: peripheral settlements—often with literacy rates below 60% and poverty levels above 30%—remain underserved. We discuss the policy implications of these findings, advocating for prioritized establishment of PHCs in identified “cold‐spot” zones, infrastructure enhancements for road connectivity, periodic field audits of facility functionality, and the deployment of mobile health units to bridge service gaps.
Keywords
Spatial Distribution, Healthcare Facilities, Rural Uttar Pradesh, GIS Analysis, Accessibility
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