Joint Regression and Association Modelling of Child Comorbidities in Uganda

Though morbidity in children living in low-income countries is commonly characterized by more than one health condition, studies to determine the determinants of child morbidity usually study one of the illnesses or a combination of the illnesses, but independently, thus ignoring possible dependencies. In many such cases a multivariate regression approach would be appropriate. Thus, in this paper, we specifically aimed at comorbidity among under-five children using joint response model that accommodates the interdependence between three illnesses (Diarrhoea, Acute Respiratory Infection (ARI) and fever) in assessing their risk factors. We considered child illness as a trivariate binary outcome (Y1, Y2, Y3) and carried out a trivariate copula regression model to jointly model Diarrhoea, ARI and fever.  Older ages(3&4 years) mother having primary or higher education and not  being in the poorest quintile are associated with reduced prevalence of ARI; while cooking with wood/straw and other fuels, rather than charcoal,  is associated with increased prevalence of ARI. Being aged 1,2  or 4 years, higher level of education for the mother, urban residence, and not being in the poorest quintile are associated with reduced prevalence of fever; while, surprisingly having an improved source of drinking water is associated with increased prevalence of fever. Being 2 years or older , being in the three upper quintiles of household wealth and using charcoal for cooking are associated with reduced  prevalence of diarrhea. Male children have higher prevalence of diarrhea. The three illnesses are strongly correlated with each other even after accounting for covariates at marginal level.This study has   illustrated an easily applicable  technique to joint modelling of common childhood illnesses which allows exploration of the correlations between them. We strongly recommend the use of this method for correlated outcomes, whatever the type of variable

Determining Factors that Influence Household Food Insecurity in Uganda: A Case Study of Tororo and Busia Districts

Addressing the national food insecurity problem requires an understanding and measurement of food insecurity at micro-level using a wide range of explanatory variables. Measurement of food insecurity is a challenge because it is a multi-faceted latent and continuous phenomenon explained by many variables. This paper examines these variables and applies exploratory factor analysis to identify variables which significantly influence household food insecurity and how they uniquely associate with specific food insecurity factors. Primary data on food availability, access, utilization and coping strategies were collected from 1175 randomly selected rural households in Tororo and Busia Districts of Uganda. Feasibility of exploratory factor analysis was analyzed using Pearso

Regional differentials in early antenatal care, health facility delivery and early postnatal care among women in Uganda

This study aimed at examining regional differentials in maternal healthcare services in Uganda. Using a sample of 1,521 women of reproductive ages (15-49) from Eastern and Western sub-regions of Uganda, and non-linear Oaxaca’ Blinder Multivariate Decomposition method, we assessed differentials in utilization of early antenatal care, health facility delivery and early postnatal care services among the women, henceforth, establishing main predictors of regional inequalities that will enable policymakers to make better evenly interventions and focused decisions. The study reveals that differentials in the utilization of maternal healthcare services are not only hindered by social and economic barriers, but also widespread disparities in the utilization of existing services. Significant differentials were attributed to both variation in women’s characteristics and effects of coefficients. Findings showed that the gap in early antenatal care would reduce on average by 31.6% and 34.7% of differences in availability of community health workers and media exposure respectively, were to disappear. Furthermore, the gap would increase on average by 68.8% and 12.6% in absence of the variation in effects of maternal education, and wealth respectively. The gap in health facility delivery would reduce on average by 24.6% and 37.2% of differences in community health worker availability and media exposure were to disappear respectively and increase on average by 54.9% in the absence of variations in effects of maternal education. The gap in EPNC would reduce on average by 18.5% and 17.17% of differences in maternal education and community health worker availability were to disappear respectively and increase on average by 52.8% and 8.4% in the absence of the variation in effects of maternal education and wealth respectively. Progress towards equitable maternal health care should focus more on strategies that guarantee even distribution of community health workers, broad dissemination of maternal healthcare information and girl child education completion in Uganda

Interrelationships between early antenatal care, health facility delivery and early postnatal care among women in Uganda: a structural equation analysis

Background Early medical checkups during and after delivery are key strategies to detect, prevent and treat maternal health concerns. Knowledge of interrelationships between early Antenatal Care (ANC), skilled delivery and early postnatal care (EPNC) is essential for focused and well-targeted interventions. This paper investigated the interconnectedness between maternal health services in Uganda. Objective This study examines the predictors of interrelationships between early antenatal care, health facility delivery and early postnatal care. Methods We used a sample of 10,152 women of reproductive ages (15–49), who delivered a child five years prior to the 2016 Uganda Demographic and Health Survey. A generalized Structural Equation Model and STATA 13.0 software were used. Results Early ANC was a mediating factor for health facility delivery (aOR=1.04; 95% CI=1.01-1.14) and EPNC (aOR=1.1; 95% CI=1.05-1.26). Increased odds of early ANC utilization was directly associated with: Adult women aged 35-49 (aOR=1.18; 95% CI=1.10-1.35), having completed primary seven (aOR=1.68; 95% CI=1.56-1.84); distance to a health facility (aOR=1.35; 95% CI=1.23-1.73) and costs (aOR=1.85; 95% CI=1.31-2.12) not being a problem, available community workers (aOR=1.06; 95% CI=1.04-1.17), pregnancy complications (aOR=2.04; 95% CI=1.85-2.26) and desire for pregnancy (aOR=1.15; 95% CI=1.07-1.36). Through early ANC utilization, being married (aOR=1.16; (=1.04*1.10)), no distance issues ((aOR=1.40; (=1.04*1.35)) and complications (aOR=2.12; (=1.04*2.04)) indirectly influenced utilization of health facility delivery. Women aged 20-34 (aOR=1.01; (=0.92*1.1)), completing primary seven (aOR=1.85; (=1.69*1.1)) and no cost problems (aOR=2.04; (=1.85*1.1)) indirectly influenced EPNC. Conclusion Early antenatal care was a mediating factor for health facility delivery and EPNC; and hence, there is need for more focus on factors for increased early antenatal care utilization. Women with higher education and those with no cost problems were more likely to have early ANC utilization, skilled delivery and EPNC; therefore there is need to design and implement policies targeting social and economically disadvantaged women

Diabetes and Quality of Life: A Ugandan Perspective

Quality of life of diabetic patients is not a new concept in literature. The contentious issue however is whether factors associated in literature with quality of life apply to diabetic patients in Uganda. A sample of 219 outpatients attending Mulago diabetic clinic—a national referral hospital in Uganda—is used to provide an understanding of this issue. Quality of life is assessed in the dimensions of role limitation due to physical health, emotional health, treatment satisfaction, physical endurance, and diet satisfaction based on a five-point Likert scale. The analysis is made by patients' characteristics, medical conditions, lifestyle factors, and type of medication using frequency distributions, summary statistics, and a Poisson regression. In the results, we confirm a consensus regarding the influence of age and education level on the quality of life in the dimensions of role limitation and physical endurance (P < 0.05). A similar conclusion is reached with regards to impact of diabetic foot ulcers in the dimension of physical endurance. Thus, the factors associated with quality of life are not entirely unique to diabetic patients in the country

A structural equation analysis on the relationship between maternal health services utilization and newborn health outcomes: a cross-sectional study in Eastern Uganda

Abstract Background Neonatal and maternal health services have a bearing on neonatal mortality. Direct and indirect factors affecting neonatal health outcomes therefore require understanding to enable well-targeted interventions. This study, therefore, assessed the interrelationship between newborn health outcomes and maternal service utilization factors. Methods We investigated maternal health utilization factors using health facility delivery and at least four Antenatal Care (ANC) visits; and newborn health outcomes using newborn death and low birth weight (LBW). We used data from a household cross-sectional survey that was conducted in 2015 in Kamuli, Pallisa and Kibuku districts. We interviewed 1946 women who had delivered in the last 12 months. The four interrelated (Endogenous) outcomes were ANC attendance, health facility delivery, newborn death, and LBW. We performed analysis using a structural equation modeling technique. Results A history of newborn death (aOR = 12.64, 95% CI 5.31–30.10) and birth of a LBW baby (aOR = 3.51, 95% CI 1.48–8.37) were directly related to increased odds of newborn death. Factors that reduced the odds of LBW as a mediating factor for newborn death were ANC fourth time attendance (aOR = 0.62, 95% CI 0.45–0.85), having post-primary level education (aOR = 0.68, 95% CI 0.46–0.98) compared to none and being gravida three (aOR = 0.49, 95% CI 0.26–0.94) compared to being gravida one. Mother’s age group, 20–24 (aOR = 0.24, 95% CI 0.08–0.75) and 25–29 years (aOR = 0.20, 95% CI 0.05–0.86) compared to 15–19 years was also associated with reduced odds of LBW. Additionally, ANC visits during the first trimester (aOR = 2.04, 95% CI 1.79–2.34), and village health teams (VHTs) visits while pregnant (aOR = 1.14, 95% CI 1.01–1.30) were associated with increased odds of at least four ANC visits, which is a mediating factor for health facility delivery, LBW and newborn death. Surprisingly, newborn death was not significantly different between health facility and community deliveries. Conclusions Attending ANC at least four times was a mediating factor for reduced newborn death and low birth weight. Interventions in maternal health and newborn health should focus on factors that increase ANC fourth time attendance and those that reduce LBW especially in resource-limited settings. Targeting women with high-risk pregnancies is also crucial for reducing newborn deaths