Browsing by Author "Kadengye, Damazo T."
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Item Open Access A Call-To-Action: Integrate A Learning Health System Framework into Longitudinal Population Studies to Improve Health Response in Africa.(Kabale University, 2024) Kadengye, Damazo T.; Kiragga, Agnes N.Longitudinal population studies (LPSs) in Africa have the potential to become powerful engines of change by adopting a learning health system (LHS) framework. This is a call-to-action opinion and highlights the importance of integrating an LHS approach into LPSs, emphasizing their transformative potential to improve population health response, drive evidence-based decision-making, and enhance community well-being. Operators of LPS platforms, community members, government officials, and funding agencies have a role to contribute to this transformative journey of driving evidence-based interventions, promoting health equity, and fostering long-term public health solutions for African communities.Item Open Access Effect of High-Risk Versus Low-Risk Pregnancy at the First Antenatal Care Visit On the Occurrence of Complication During Pregnancy and Labour Or Delivery in Kenya: A Double-Robust Estimation.(Kabale University, 2024) Kadengye, Damazo T.; Odero, Henry Owoko; Izudi, JonathanObjectives We evaluated the causal effects of high-risk versus low-risk pregnancy at the first antenatal care (ANC) visit on the occurrence of complications during pregnancy and labour or delivery among women in Kenya. Methods We designed a quasi-experimental study using observational data from a large mobile health wallet programme, with the exposure as pregnancy risk at the first ANC visit, measured on a binary scale (low vs high). Complications during pregnancy and at labour or delivery were the study outcomes on a binary scale (yes vs no). The causal effects of the exposure were examined using a double-robust estimation, reported as an OR with a 95% CI. Results We studied 4419 women aged 10–49 years (mean, 25.6±6.27 years), with the majority aged 20–29 years (53.4%) and rural residents (87.4%). Of 3271 women with low-risk pregnancies at the first ANC visit, 833 (25.5%) had complications during pregnancy while 1074 (32.8%) had complications at labour/delivery. Conversely, of 1148 women with high-risk pregnancies at the first ANC visit, 343 (29.9%) had complications during pregnancy while 488 (42.5%) had complications at labour delivery. Multivariable adjusted analysis showed that women with high-risk pregnancy at the time of first ANC attendance had a higher occurrence of pregnancy during pregnancy (adjusted OR (aOR) 1.22, 95% CI 1.02 to 1.46) and labour or delivery (aOR 1.20, 95% CI 1.03 to 1.41). In the double-robust estimation, a high-risk pregnancy at first ANC visit increased the occurrence of complications during pregnancy (OR 1.23, 95% CI 1.04 to 1.46) and labour or delivery (OR 1.24, 95% CI 1.07 to 1.45). Conclusion Women with a high-risk pregnancy at the first ANC visit have an increased occurrence of complications during pregnancy and labour or delivery. These women should be identified early for close and appropriate obstetric and intrapartum monitoring and care to ensure maternal and neonatal survival.Item Open Access Foreign Direct Investment and Environmental Challenges: A Case Study of Uganda With Analytical Perspective.(Kabale University, 2024) Byanyima, Faustino; Mayanja, Edison; Kadengye, Damazo T.; Arineitwe, Shine; Mijwil, Maad M.; Gaballa, Moustafa; Cherakkara, Veedu Rajeev; Turyasingura, BensonThis chapter examines the connection between foreign direct investment (FDI) and environmental degradation in Uganda from 1990 to 2022. It includes control variables such as GDP growth, trade openness, urbanization, industrialization, and agricultural activity, utilizing data from the World Bank's World Development Indicators. Using the Autoregressive Distributed Lag (ARDL) model to tackle endogeneity, the study finds a significant long-term non-linear relationship between FDI and CO2 emissions, aligning with the Environmental Kuznets Curve (EKC) hypothesis. The results indicate an inverse U-shaped relationship, where carbon emissions initially increase with FDI before declining over time. The research highlights the influence of GDP growth, urbanization, agriculture, and industrialization on environmental outcomes. The findings stress the need for policymakers to balance attracting FDI with maintaining environmental sustainability, supporting the pollution haven theory in Uganda.