Predicting Maternal Complication among Underserved Women based on the Demographic Composition

Simisola I. Adamo
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Simisola I. Adamo: Department of Analytics, University of Dallas

International Journal of Research and Scientific Innovation, 2023, vol. 10, issue 10, 146-155

Abstract: Maternal complications remain a significant public health issue in Nigeria, particularly among underserved women. Underserved women, particularly those from low-income backgrounds, are at higher risk of maternal complications due to limited access to quality healthcare services. This study aimed to identify the factors that contribute to the maternal complications among underserved women based on the demographic composition. The research was carried out in Ondo State, Nigeria. The research designed a well-structured questionnaire (primary data), and each copy of the questionnaire was distributed among the pregnant women who visited the maternal centers in the state. The data collected was collected in the urban city of Ondo State, Nigeria. The participants are pregnant women within the reproductive age (15 – 49 years) and their gestation period are between 10 to 36 weeks or women who have undergo caesarean section before. The population of the pregnant women varied according to the maternity centers. The study was analyzed using logistic regression analysis. The study concluded that maternal complications are multifactorial, which means that a number of different variables, including maternal age, pre-existing medical conditions, prenatal care use, access to healthcare facilities, and level of education. While occupation may be one of the contributing factors, in the absence of other pertinent factors, it may not independently predict maternal complications. The study, therefore, recommended that it is crucial to improve access to prenatal care, tackle socioeconomic disparities, and enhance cultural competence in healthcare delivery.

Date: 2023
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