Perinatal mortality and its predictors in Beni City, Democratic Republic of Congo: a cross-sectional study

Abstract

Abstract Background Globally, perinatal mortality rates have decreased considerably in the last 30 years. However, in sub-Saharan African countries perinatal mortality remains a public health burden. Therefore, this study aimed to determine the Perinatal Mortality Rate and the factors associated with perinatal mortality in Beni City, Northeastern Democratic Republic of Congo. Methods A hospital-based retrospective cross-sectional study was conducted among 1394 deliveries that were documented in Beni General Referral Hospital from 2 January to May 31, 2022. The study was done in the conflict-ridden Beni city of the North Kivu Province. Analysis was done using Open Epi and SPSS version 22. Binary and Multivariate logistic regression analyses were performed. Odds ratio with 95% confidence interval was used to measure strength of association. Results Findings indicate that 60.7% of 1394 participants were below the age of 21 years, and 95.1% (1325) Beni residents. The Perinatal Mortality Rate was 42.3 per 1000 live births. Majority (51) of the postpartum women who experienced perinatal mortality didn`t have a history of perinatal mortality as compared to their counterparts. Multivariable analysis revealed that birth weight (AoR = 0.082, 95% CI 0.014–0.449, p < 0.05) and Apgar score in the 10th minute (AoR = 0.082, 95% CI 0.000- 0.043, p < 0.05) were significantly associated with Perinatal mortality. Conclusion The high perinatal mortality rate in Beni General Referral Hospital, approximately four in every 100 births remains a disturbing public health concern of which is attributable to low birth weight and Apgar score. This study may help policy-makers and healthcare providers to design preventive interventions.

Keywords

• Perinatal mortality
• Apgar score
• Birth weight
• Democratic Republic of Congo