Equity of geographical access to public health facilities in Nepal

被引:36
作者
Cao, Wen-Rui [1 ]
Shakya, Prabin [2 ]
Karmacharya, Biraj [2 ]
Xu, Dong Roman [3 ,4 ,5 ,6 ]
Hao, Yuan-Tao [1 ,7 ]
Lai, Ying-Si [1 ,7 ]
机构
[1] Sun Yat Sen Univ, Sch Publ Hlth, Dept Med Stat, Guangzhou, Guangdong, Peoples R China
[2] Kathmandu Univ, Sch Med Sci, Dept Publ Hlth, Dhulikhel, Nepal
[3] Southern Med Univ, SMU Inst Global Hlth Sight, Acacia Labs, Guangzhou, Guangdong, Peoples R China
[4] Southern Med Univ, Dermatol Hosp, Guangzhou, Guangdong, Peoples R China
[5] Southern Med Univ, Ctr WHO Studies, Sch Hlth Management, Guangzhou, Guangdong, Peoples R China
[6] Southern Med Univ, Dept Hlth Management, Sch Hlth Management, Guangzhou, Guangdong, Peoples R China
[7] Sun Yat Sen Univ, Sun Yat Sen Global Hlth Inst, Guangzhou, Guangdong, Peoples R China
来源
BMJ GLOBAL HEALTH | 2021年 / 6卷 / 10期
基金
中国国家自然科学基金;
关键词
geographic information systems; health systems; public health; TRAVEL-TIME; ACCESSIBILITY; CARE; SERVICES; CENTERS;
D O I
10.1136/bmjgh-2021-006786
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 1x1 km(2) 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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页数:9
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