Prevalence and predictors of mother and newborn skin-to-skin contact at birth in Papua New Guinea

Abstract

ObjectiveThis study examined the prevalence and predictors of maternal and newborn skin-to-skin contact at birth in Papua New Guinea.DesignData for the study was extracted from the 2016–18 Papua New Guinea Demographic and Health Survey. We included 6,044 women with birth history before the survey in the analysis. Percentages were used to summarise the prevalence of maternal and newborn skin-to-skin contact. A multivariable multilevel binary logistic regression was adopted to examine the predictors of maternal and newborn skin-to-skin contact. The results were presented using adjusted ORs (aORs), with their respective 95% confidence intervals (CIs). Statistical significance was set at p<0.05.SettingThe study was conducted in Papua New Guinea.ParticipantMothers with children under 5 years.Outcome measuresMother and newborn skin-to-skin contact.ResultsThe prevalence of mother and newborn skin-to-skin contact was 45.2% (95% CI=42.4 to 48.0). The odds of mother and newborn skin-to-skin contact was higher among women with primary education (aOR=1.38; 95% CI=1.03 to 1.83), women with four or more antenatal care attendance (aOR=1.27; 95% CI=1.01 to 1.61), those who delivered at the health facility (aOR=1.27; 95% CI=1.01 to 1.61), and women from communities with high socioeconomic status (aOR=1.45; 95% CI=1.11 to 1.90).ConclusionThe study has demonstrated that the prevalence of mother and newborn skin-to-skin contact in Papua New Guinea is low. Factors shown to be associated with mother and newborn skin-to-skin contact were maternal level of education, antenatal care attendance, health facility delivery, and community socioeconomic status. A concerted effort should be placed in improving maternal health service utilisation such as antenatal care attendance and skilled birth delivery, which subsequently lead to the practice of skin-to-skin contact. Also, women should be empowered through education as it has positive impact on their socioeconomic status and health service utilisation.