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ItemRisk factors associated with five-year survival among leukemia patients in Uganda: evidence from the Uganda cancer institute.(Makerere University, 2026)This was a retrospective study that investigated the factors associated with the five-year survival rates of leukemia patients in Uganda conducted at Uganda Cancer Institute (UCI) using the available electronic secondary data on leukemia patients at the Centre registry. The study considered data on patients diagnosed with leukemia between 1st January 2014 to 31st December 2015. Survival of the 349 patients up to 2020 was considered. Those alive at the end of 2020 were censored. A Cox Proportional Hazards model was used to model prognostic factors. A total of 349 respondents were analyzed in this study. Majority were males accounting for (57. 6%). The sample was also comprised of individuals belonging to different age groups. Patients aged above 60 years had only 1.33 times greater hazard of dying compared to children aged between 1 to 15 years (HR = 1.33, 95%CI: 1.136, 1.785). Married had 1.89 times greater hazard of dying as compared to the single, while the divorced/separated had 2.68 times higher hazard of dying compared to the single. HIV positive patients had 1.63 times higher hazard of dying than those who were HIV negative. On the stage of diagnosis, patients who were diagnosed at a later stage had 1.63 times greater hazard than those diagnosed at an early stage. Patients who received chemotherapy had about 0.46 times lower hazard of dying, while those who received immunotherapy had 0.02 times less risk of leukemia than those who received radiotherapy. Therefore, the government of Uganda through the Ministry of Health and other stakeholders should focus on more interventions that promote the sensitization of patients on the factors associated with the survival of leukemia patients to overcome the observed disparities in survival of leukemia patients.
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ItemPredictors of physical intimate partner violence against men in Uganda: A generalized structural equation modelling approach.(Makerere University, 2026)Intimate Partner Violence (IPV) against men is a significant but understudied public health issue in sub-Saharan Africa. This study investigates the predictors of physical IPV against men in Uganda by analyzing the complex direct and indirect pathways leading to violence. Using a quantitative cross-sectional design with secondary data from the 2016 Uganda Demographic and Health Survey (UDHS), a final sample of 2,625 ever-married/cohabiting men aged 15-54 was analyzed. Data was analyzed using Generalized Structural Equation Modelling (GSEM) to test mediation hypotheses. The study found prevalence of physical IPV (11.45%), which was directly driven by partner behavioral factors and indirectly by social economic factors. Results revealed that men were significantly more likely to experience physical IPV if their partners exhibited controlling behaviors with less (β=4.35, p=0.047), many (β=1.596, p<0.001) compared to those with no controlling behaviors or used alcohol (β=0.851, p<0.001). Men in polygamous unions were significantly more likely to experience physical IPV (β=0.359, p=0.027). On the other hand, educated men were significantly less likely to experience physical IPV with primary (β=-0.641, p=0.008). Secondary (β=-0.797, p=0.004). higher (β=0.804, p=0.013) compared to men with no education. Men in age group (45-54) were significantly less likely to experience physical IPV (β=-0.487, p=0.049) compared to (15-24) age group. Socioeconomic factors operated largely through indirect pathways. Education exhibited a graded protective effect: compared to men with no education, Primary (β=-0.875, p<0.001), Secondary (β=-0.999, p<0.001) and Higher (β=0.888, p<0.001) men were less likely to experience IPV, mediated by reduced partner alcohol use. Education on the other hand had a positive effect: men with Primary or Secondary education were more likely to experience IPV than those with No education (β=0.780, p=0.004), (β=0.808, p=0.005) respectively mediated by increased number of controlling behaviors. Wealth also showed a positive effect with Rich men being significantly more likely to experience physical IPV than the poor (β=0.306, p=0.027) mediated by many controlling behaviors. Polygamy (2+ wives) also showed a positive effect versus monogamy (β=0.383, p<0.001), with men in polygamous unions being more likely to experience IPV, mediated by partner alcohol use. Physical IPV against men is directly fueled by partner behaviors (control and alcohol use), and socioeconomic status exerts influence directly to a smaller extent and indirectly to a larger extent through these mediators. Interventions must therefore be integrated, focusing on economic empowerment, addressing female partner alcohol abuse, and challenging norms around controlling behaviors. This study provides a critical evidence base for the inclusion of men in IPV discourse and policy in Uganda.
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ItemDetecting tax evaders in Uganda : a comparison of logistic regression and finite mixture of logistic regression(Makerere University, 2023)This paper presents data mining techniques to predict VAT evaders for inclusion in the audit plan. A dataset of 1,311 registered VAT taxpayers in Large Taxpayers’ Office and Medium Taxpayers’ Office for the period FY2017/18 across 11 features was used. An exploratory data analysis was used to establish the hidden patterns in the dataset and backward elimination method was used to identify the significant features for model development. Logistic regression (LR) and finite mixture logistic regression with and without concomitant variable were used to detect VAT evaders. BIC was used to select between the FMLR model with and without concomitant variable. Results of each technique were compared and the best technique was chosen based on accuracy, precision and recall were used to evaluate model performance. Findings of the study showed that number of no sales return, tax office, business sector and number of late payments were identified as significant features in VAT evasion detection. FMLR without concomitant variable had a lower BIC compared to FMLR with concomitant variable and was therefore considered. Model performance evaluation between FMLR without concomitant variable and LR was carried out and FMLR outperformed LR in accuracy, recall and precision. Though LR has been extensively used as a solution to tax evasion problems, the findings of the study suggest that FMLR provide better results compared to LR. The findings of the study can be utilized by URA with emphasis on the four (4) significant variables to detect VAT evaders for inclusion in the Audit plan. URA and future studies may employ other: evader attributes, data mining techniques and model performance evaluation metrics on similar dataset and compare the results.
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ItemDeterminants of household income diversification in Uganda(Makerere University, 2026)Income diversification is widely recognized as a crucial strategy for enhancing livelihoods, building resilience, reducing poverty, and promoting inclusive economic growth. This study examined the factors influencing income diversification in Uganda, defining it as earning from two or more sources and analyzed a sample of 2,795 observations from the UNHS of 2019/2020 with logistic regression model based on weighted data to ensure representativeness. The sample indicated that 66.5% of households relied on more than one income sources. The findings demonstrated that age group (ages 18–30) have lower odds of diversifying their income compared to other age groups (AOR = 0.10, P=0.006) Conversely, households headed by widows or widowers exhibited higher odds of diversification than those headed by married monogamous individuals (AOR = 6.90, P=0.049) Completing primary education was linked to higher odds of diversification compared to having no formal education (AOR = 4.50, P=0.006), and Wealthy households were associated with higher odds than counterparts (AOR = 4.50, P=0.01). Households in the Western region experienced lower odds of diversification compared to those in the Central region (AOR = 0.30, P=0.011) No access to credit had lower odds than counterparts (AOR = 0.10, P=0.007). Lastly, households that engaged in joint or consultative financial decision-making had higher odds of diversification than those where decisions were made individually (AOR = 3.50, P=0.022). In conclusion, income diversification in Uganda is primarily shaped by factors (such as wealth and marital status), human capital (including age and education levels), geographic location, and financial access (encompassing access to credit/loans and inclusive decision-making). Other factors such as asset ownership or fundamental demographics like gender or household size don’t necessarily determine income diversification. Recommendations include strengthening financial inclusion, investing in basic education, supporting vulnerable groups like widows, and promoting inclusive household decision-making through financial literacy programs.
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ItemChild care arrangements and wellbeing of children of employed women in Central Uganda(Makerere University, 2022)Childcare has an influence on child morbidity and survival. It has an effect on children’s development potential, especially during the first five years of life and the effects extend into adulthood. This study aimed at examining the relationship between child care arrangements for women in work and the wellbeing of children. Data were collected from 804 households in Wakiso District of Central Uganda from mothers, children and caregivers. The analysis looks at the relationship between child wellbeing and risk factors at the level of the household, the child, the mother, the care giver and the child care arrangement. Analysis was conducted at the univariate, bivariate and multivariate levels. Results indicate that 17% were stunted, 3% were wasted and 7% were underweight. Results show higher odds of multiple CCAs for children of women in the high wealth quintile, age 35 or more years and with post-secondary education. Analysis of the determinants of the choice of caregivers revealed that women in wealthier households, those with secondary or more education, currently married, with more than one child under 5 years, and with a father who was involved in child care had higher odds of employing caregivers that were relatives. The odds of child wellbeing were higher among children belonging to middle and high wealth categories, those with female caregivers and with mothers of the Pentecostal and Adventist faiths. Qualitative results indicate better wellbeing among children looked after in formal child care facilities. While further research is needed to determine the effects of the various child care arrangements on child health and development, interventions such as setting up of workplace child care facilities by employers, subsidised by government and promotion of nutritional and child protection programs can go a long way in not only improving the wellbeing of children whose mothers are at work but also making motherhood more compatible with work. There is need for Government of Uganda through the Ministry of Gender, Labour and Social Development to improve child care through fast tracking policy commitment to providing early childhood care and education, training of the providers and increasing investment in child care and early childhood programs. The study highlights the need to improve the socioeconomic status of households in Uganda for better child wellbeing outcomes.