ANALYTICAL HIERARCHIAL PROCESS OF FACTORS AFFECTING MATERNAL MORTALITY
Abstract
Maternal mortality remains a critical global health challenge, with complex, multifactorial determinants that require effective prioritization for targeted interventions. This study utilized the Analytical Hierarchical Process (AHP) to systematically assess and prioritize factors influencing maternal mortality. The AHP, a decision-making tool that employs pairwise comparisons and hierarchical structuring, allows for the quantitative evaluation of qualitative data, ensuring an accurate assessment of relative weights assigned to each factor. Expert opinions from health care professionals, opinions from women on antenatal visits from the survey inform the pairwise comparisons, providing a comprehensive understanding of each factor’s significance. Results highlight that sepsis had the highest risk factor of 17.95%, followed by hypertensive disorder and postpartum hemorrhage, with a percentage risk factor of 16.53% and 16.15%, respectively. The health status of a woman, the quality of healthcare facilities, abortion, and antenatal care contribute almost the same to the risk factors, with percentage contributions to high risk of maternal mortality as 14.58%, 14,56%, 14.94%, and 14.29%, respectively. This study demonstrates AHP's potential as a valuable framework for policymakers to prioritize actions and allocate resources effectively, ultimately guiding evidence-based strategies for maternal health improvement. We recommend that priority should be given to Sepsis screening and management for hypertensive disorders in pregnant women and more attention should be paid to women with postpartum hemorrhage, among others
Keywords:
Determinants examined include health care accessibility. Ante natal care (AN), Sepsis (SP), Postpartum Hemorrhage (PH), Abortion (AB), Quality of Health Service (QHS), and Health status (HS) and Hypertensive Disorder ((HD).Downloads
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Copyright (c) 2024 Abubakar Muhammad Auwal, Ibrahim Ahmed, Negedu Joy Achagba, N. O. Nweze
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