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Is enrolment in the national health insurance scheme in Ghana pro-poor? Evidence from the Ghana Living Standards Survey

OBJECTIVES: This article examines equity in enrolment in the Ghana National Health Insurance Scheme (NHIS) to inform policy decisions on progress towards realisation of universal health coverage (UHC). DESIGN: Secondary analysis of data from the sixth round of the Ghana Living Standards Survey (GLSS...

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Detalles Bibliográficos
Autores principales: Nsiah-Boateng, Eric, Prah Ruger, Jennifer, Nonvignon, Justice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6609063/
https://www.ncbi.nlm.nih.gov/pubmed/31266841
http://dx.doi.org/10.1136/bmjopen-2019-029419
Descripción
Sumario:OBJECTIVES: This article examines equity in enrolment in the Ghana National Health Insurance Scheme (NHIS) to inform policy decisions on progress towards realisation of universal health coverage (UHC). DESIGN: Secondary analysis of data from the sixth round of the Ghana Living Standards Survey (GLSS 6). SETTING: Household based. PARTICIPANTS: A total of 16 774 household heads participated in the GLSS 6 which was conducted between 18 October 2012 and 17 October 2013. ANALYSIS: Equity in enrolment was assessed using concentration curves and bivariate and multivariate analyses to determine associated factors. MAIN OUTCOME MEASURE: Equity in NHIS enrolment. RESULTS: Survey participants had a mean age of 46 years and mean household size of four persons. About 71% of households interviewed had at least one person enrolled in the NHIS. Households in the poorest wealth quintile (73%) had enrolled significantly (p<0.001) more than those in the richest quintile (67%). The concentration curves further showed that enrolment was slightly disproportionally concentrated among poor households, particularly those headed by males. However, multivariate logistic analyses showed that the likelihood of NHIS enrolment increased from poorer to richest quintile, low to high level of education and young adults to older adults. Other factors including sex, household size, household setting and geographic region were significantly associated with enrolment. CONCLUSIONS: From 2012 to 2013, enrolment in the NHIS was higher among poor households, particularly male-headed households, although multivariate analyses demonstrated that the likelihood of NHIS enrolment increased from poorer to richest quintile and from low to high level of education. Policy-makers need to ensure equity within and across gender as they strive to achieve UHC.