Agbadi Pascal, Okyere Joshua, Lomotey Alberta, Duah Henry Ofori, Seidu Abdul-Aziz, Ahinkorah Bright Opoku
Department of Nursing, Kwame Nkrumah University of Science and Technology, PMB, Kumasi, Ghana.
Department of Population and Health, University of Cape Coast, Private Mail Bag, Cape Coast, Ghana.
Prev Med Rep. 2021 Apr 24;22:101385. doi: 10.1016/j.pmedr.2021.101385. eCollection 2021 Jun.
The goal of Ghana's health insurance scheme is to achieve universal coverage. Despite NHIS' benefits to children, not all children in Ghana are covered. This study investigates the sociodemographic covariates of nonenrolment onto the national health insurance scheme among children in Ghana. We used the child dataset of the 2017/18 Ghana Multiple Indicator Cluster Survey (G-MICS). We used STATA version 14 for the data analyses. We described each study variable using frequency and percentages. We used Poisson regression to estimate crude and adjusted prevalence ratios of the relationship between the covariates and the outcome variable. Approximately 57% of children were covered with health insurance in Ghana. In the adjusted multivariable model, male children, children within the ages of 10-14 or 15-17 years, and children who have some form of functional disability and those with no information on their functional disability status, children of mothers with lower than post-secondary education, and children residing in households of less than the fifth quantile on the household wealth index were associated with a higher likelihood of nonenrolment onto the national health insurance scheme. Finally, compared to the children in greater Accra, children in the other nine regions were associated with a lower likelihood of nonenrolment onto the national health insurance scheme. Given the results, improvement in health insurance coverage should be done, taking into consideration variations across the socio-demographic characteristics of the child, mother, and households.
加纳医疗保险计划的目标是实现全民覆盖。尽管国家健康保险计划(NHIS)给儿童带来了福利,但加纳并非所有儿童都享有该保险。本研究调查了加纳儿童未加入国家健康保险计划的社会人口学协变量。我们使用了2017/18年加纳多指标类集调查(G-MICS)的儿童数据集。我们使用STATA 14版进行数据分析。我们用频率和百分比描述每个研究变量。我们使用泊松回归来估计协变量与结果变量之间关系的粗患病率和调整患病率。在加纳,约57%的儿童享有医疗保险。在调整后的多变量模型中,男性儿童、10 - 14岁或15 - 17岁的儿童、有某种形式功能残疾以及功能残疾状况信息缺失的儿童、母亲受教育程度低于大专的儿童,以及家庭财富指数处于最低五分位数家庭中的儿童,未加入国家健康保险计划的可能性更高。最后,与大阿克拉地区的儿童相比,其他九个地区的儿童未加入国家健康保险计划的可能性较低。鉴于这些结果,应考虑到儿童、母亲和家庭社会人口特征的差异,来改善医疗保险覆盖情况。