Geospatial distribution and bypassing health facilities among National Health Insurance Scheme enrollees: implications for universal health coverage in Nigeria

被引:2
|
作者
Adewole, David A. [1 ,2 ]
Reid, Steve [3 ]
Oni, Tolu [4 ,5 ]
Adebowale, Ayo S. [6 ]
机构
[1] Univ Ibadan, Coll Med, Fac Publ Hlth, Dept Hlth Policy & Management, Ibadan, Nigeria
[2] Univ Cape Town, Dept Publ Hlth & Family Med, Div Publ Hlth Med, Cape Town, South Africa
[3] Univ Cape Town, Primary Hlth Care Directorate, Fac Hlth Sci, E47 OMB Groote Schuur Hosp, ZA-7925 Cape Town, South Africa
[4] Univ Cambridge, Med Res Council, Epidemiol Unit, Cambridge, England
[5] Univ Cape Town, Sch Publ Hlth & Family Med, Div Publ Hlth Med, Cape Town, South Africa
[6] Univ Ibadan, Fac Publ Hlth, Dept Epidemiol & Med Stat, Ibadan, Nigeria
来源
INTERNATIONAL HEALTH | 2022年 / 14卷 / 03期
关键词
bypassing; geospatial mapping; health insurance; healthcare access; Nigeria; universal health coverage; CARE; DISTANCE;
D O I
10.1093/inthealth/ihab039
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background This study was carried out to enable an assessment of geospatial distribution and access to healthcare facilities under the National Health Insurance Scheme (NHIS) of Nigeria. The findings will be useful for efficient planning and equitable distribution of healthcare resources. Methods Data, including the distribution of selected health facilities, were collected in Ibadan, Nigeria. The location of all facilities was recorded using Global Positioning System and was subsequently mapped using ArcGIS software to produce spider-web diagrams displaying the spatial distribution of all health facilities. Results The result of clustering analysis of health facilities shows that there is a statistically significant hotspot of health facility at 99% confidence located around the urban areas of Ibadan. The significant hotspot result is dominated by a feature with a high value and is surrounded by other features also with high values. Away from the urban built-up area of Ibadan, health facility clustering is not statistically significant. There was also a high level (94%) of bypassing of NHIS-accredited facilities among the enrollees. Conclusions Lopsided distribution of health facilities in the study area should be corrected as this may result in inequity of access to available health services.
引用
收藏
页码:260 / 270
页数:11
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