ABSTRACT
Background: Maternal near miss refers to a woman who nearly died but survived a complication that occurred during pregnancy, childbirth, or within 42 days of pregnancy termination. While there has been considerable progress in reducing maternal mortality rates, maternal near miss cases can provide valuable insights into the quality of maternal healthcare and help identify areas for improvement. However, there is limited evidence on the factors contributing to maternal near miss cases, including health system failures, delays in care, and provider-related factors. Therefore, this study aimed to assess the incidence, causes, and factors associated with maternal near misses in public Hospitals of Borena Zone. Methods: A facility-based longitudinal cross-sectional study design was employed at four Public Hospitals in Borena Zone from August 15, 2022, to November 15, 2022, using the WHO criteria for maternal near miss event. In total, 117 participants were included in the study. Eligibility was determined using key clinical, organ dysfunction, laboratory, and management criteria, as per the WHO guidelines for near-miss events. Underlying and contributing causes of maternal near misses were documented from each participant's records. Result: There were 1421 deliveries during the study period and 117 eligible women developed potentially life-threatening conditions. Only 61 women experienced severe maternal outcomes (55 near misses and six maternal deaths). The maternal near miss incidence ratio was 38.7 per 1000 live births, with a mortality index of 9.8%. Hypertensive disorders and obstetric hemorrhage are the leading underlying causes of maternal near misses. Conclusion: The incidence of maternal near miss was remarkably high when compared to previous studies. Giving special emphasis to life-saving interventions, critical care, reducing delays and improving the referral system are critical to improve quality of care.
ABSTRACT
This study analysed the dynamics of blood stage malaria with immune response and under administration of Coartem as a combination therapy. The techniques of mathematical modelling were used in coming up and analysing the deterministic model. Sensitivity analysis and statistical approaches were used to compare model simulated treatment results with the use of Coartem and other antimalarial drugs. We sought to theoretically assess if Coartem can bring improvement in the treatment of malaria as compared to the other drugs. Our analysis and numerical results suggest that Coartem compares well with other antimalarial drug that have been on the market. However, the shortfall of our model is that it could not give good comparative results between Coartem treatment and other combination treatment schemes with similar mode of action. Our study predicted effects of different drug treatment protocols in malaria using a theoretical mathematical model, which gives an insight into potential effective treatment schemes.
