An Application of Count Models to the Number of Antenatal Care Service Visits

Abstract

This study examines the challenges of analyzing the effects of pregnant mothers visiting hospitals on their newborns during prenatal care in Katsina. Four Katsina public and private hospitals fitted expecting moms with four count models. The Vuong test and likelihood ratio test were used to assess if an over-dispersion parameter was needed. Zero-inflated negative binomial outperformed. The study found that a pregnant mother with a minimum of secondary education and a maximum of a first degree or higher national diploma (HND) while controlling for no formal education, using a private hospital/clinic while keeping a public hospital/clinic constant, affecting number of diagnoses, number of procedures, and number of times a mother gave birth to a fetus with a gestational age of 24 weeks or more, regardless of whether the child was born alive or stillborn were significant