Statistics

Characteristics of the study sample are described using means and SD for metric variables and percentages and frequencies for categorical variables. Missing values were not imputed. First, knowledge and utilisation of services as well as information sources about services are presented by descriptive statistics. Then, variables on knowledge and utilisation of services were aggregated in order to use them as outcome variables in prediction modelling. A variable indicating the total number of services known was created. Median split was used to derive two categories (poor vs good knowledge). Regarding the use of services, two variables were built: the use of services provided by midwives (yes, no) and the use of any other antenatal service (yes, no). Finally, predictive regression modelling was performed for analysing predictors of knowledge and utilisation of services. For all predictors, univariable logistic regression models with knowledge and utilisation as outcomes were calculated, respectively. Variables which were associated with the outcome in univariable analysis (criterion p≤0.2) were entered into the multivariable model. All analyses were performed using SPSS V.23.