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Equity of geographical access to public health facilities in Nepal.
Cao, Wen-Rui; Shakya, Prabin; Karmacharya, Biraj; Xu, Dong Roman; Hao, Yuan-Tao; Lai, Ying-Si.
Afiliación
  • Cao WR; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Shakya P; Departments of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
  • Karmacharya B; Departments of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal.
  • Xu DR; ACACIA Labs, SMU Institute for Global Health (SIGHT) and Dermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China.
  • Hao YT; Center for WHO Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, Guangdong, China.
  • Lai YS; Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China.
BMJ Glob Health ; 6(10)2021 10.
Article en En | MEDLINE | ID: mdl-34706879
INTRODUCTION: Geographical accessibility is important against health equity, particularly for less developed countries as Nepal. It is important to identify the disparities in geographical accessibility to the three levels of public health facilities across Nepal, which has not been available. METHODS: Based on the up-to-date dataset of Nepal formal public health facilities in 2021, we measured the geographical accessibility by calculating the travel time to the nearest public health facility of three levels (ie, primary, secondary and tertiary) across Nepal at 1×1 km2 resolution under two travel modes: walking and motorised. Gini and Theil L index were used to assess the inequality. Potential locations of new facilities were identified for best improvement of geographical efficiency or equality. RESULTS: Both geographical accessibility and its equality were better under the motorised mode compared with the walking mode. If motorised transportation is available to everyone, the population coverage within 5 min to any public health facilities would be improved by 62.13%. The population-weighted average travel time was 17.91 min, 39.88 min and 69.23 min and the Gini coefficients 0.03, 0.18 and 0.42 to the nearest primary, secondary and tertiary facilities, respectively, under motorised mode. For primary facilities, low accessibility was found in the northern mountain belt; for secondary facilities, the accessibility decreased with increased distance from the district centres; and for tertiary facilities, low accessibility was found in most areas except the developed areas like zonal centres. The potential locations of new facilities differed for the three levels of facilities. Besides, the majority of inequalities of geographical accessibility were from within-province. CONCLUSION: The high-resolution geographical accessibility maps and the assessment of inequality provide valuable information for health resource allocation and health-related planning in Nepal.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Viaje / Accesibilidad a los Servicios de Salud Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: BMJ Glob Health Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Viaje / Accesibilidad a los Servicios de Salud Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: BMJ Glob Health Año: 2021 Tipo del documento: Article