A multilevel Bayesian Markov Chain Monte Carlo Poisson modelling of factors associated with components of antenatal care offered to pregnant women in Nigeria.

ABSTRACT:

Background

The most recent WHO guideline on antenatal care (ANC) utilization reaffirmed the necessary and compulsory care and services a pregnant woman should receive to maximize the importance and gains of ANC. While most studies focused on the time of initiation and number of ANC contacts, emphasis was rarely placed on the components of ANC offered to women. This study assessed how complete the components of ANC received by pregnant women are as a proxy for the quality of ANC services offered in Nigeria. We also assessed the clustering of the components and state-level differentials and inequalities in the components of ANC received in Nigeria.

Methods

We used nationally representative cross-sectional data from the 2018 Nigeria Demographic Health Survey. We analysed the da

SUBMITTER: Fagbamigbe OS 

PROVIDER: S-EPMC10320930 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature