Factors Associated With Utilization of Cervical Cancer Screening Program Among Women Living With HIV in Indonesia

Abstract

This study used univariate, bivariate, and multivariate analysis. All independent variables with p ≤ .25 in bivariate analysis were included in multiple logistic regression. Variables with p ≤ 0.05 in multiple logistic regression were considered as determinant of cervical cancer services utilization. The strength of association was measured using the crude odds ratio in bivariate logistic regression and adjusted odds ratio in multiple logistic regression. The data analysis was performed using STATA version 15.1.