On The Statistical Analysis of Ante-Natal Care Use in Nigeria: Multilevel Logistic Regression Approach

Abstract

Ante-Natal Care usage among women has a great impact on the survival rate of both mother and the new born child. Inadequate usage influences the mortality rate of both woman and infant thus affecting both economic and health status of any population, Nigeria in particular. Attaining and even surpassing the minimum number of Ante Natal Care (ANC) visits as specified by World Health Organization, WHO helps to ensure healthy outcomes for women and newborns. Multilevel logistic regression models were applied to data involving women who make ANC visits who participated in the 2013 National Demographic Health Survey (NDHS) in Nigeria.

Results show that location, women education, religion and wealth index of participant were significant factors that influence the probability of women meeting and/or surpassing the required number of ANC visits required by WHO. We also found that husband’s level of educational attainment and the frequency of information gathering by such women also influenced their chances of making more ANC visits.

Keywords: Ante-Natal Care, Multilevel, Logistic Regression, Intra-class correlation