Background: In the past few decades, several studies on the determinants and risk factors of severe maternal outcome (SMO) have been conducted in various developing countries. Even though the rate of maternal mortality in Eritrea is among the highest in the world, little is known regarding the determinants of SMO in the country. Thus, the aim of this study was to identify determinants of SMO among women admitted to Keren Provincial Referral Hospital.
Methods: A facility based unmatched case-control study was conducted in Keren Hospital. Women who encountered SMO event from January 2018 to December 2020 were identified retrospectively from medical records using the sub-Saharan Africa maternal near miss (MNM) data abstraction tool. For each case of SMO, two women with obstetric complication who failed to meet the sub-Saharan MNM criteria were included as controls. Bivariate and multivariate logistic regression analyses were employed using SPSS version-22 to identify factors associated with SMO.
Results: In this study, 701 cases of SMO and 1,402 controls were included. The following factors were independently associated with SMO: not attending ANC follow up (AOR: 4.53; CI: 3.15-6.53), caesarean section in the current pregnancy (AOR: 3.75; CI: 2.69-5.24), referral from lower level facilities (AOR: 11.8; CI: 9.1-15.32), residing more than 30 kilometers away from the hospital (AOR: 2.97; CI: 2.29-3.85), history of anemia (AOR: 2.36; CI: 1.83-3.03), and previous caesarean section (AOR: 3.49; CI: 2.17-5.62).
Conclusion: In this study, lack of ANC follow up, caesarean section in the current pregnancy, referral from lower facilities, distance from nearest health facility, history of anaemia and previous caesarean section were associated with SMO. Thus, improved transportation facilities, robust referral protocol and equitable distribution of emergency facilities can play vital role in reducing SMO in the hospital.
Copyright: © 2024 Henos Kiflom Zewde. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.