Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda

• Published in: BMC public health 2019-10, Vol.19 (1), p.1330-1330, Article 1330
• Main Authors: Nambuusi, Betty B, Ssempiira, Julius, Makumbi, Fredrick E, Utzinger, Jürg, Kasasa, Simon, Vounatsou, Penelope
• Format: Article
• Language: English
• Subjects: Analysis; Antimalarials - therapeutic use; Artemisinin; Bayesian proportional hazards geostatistical models; Breast feeding; Child Health Services - organization & administration; Child Mortality - trends; Child Welfare - statistics & numerical data; Child, Preschool; Control; Demographic and health survey; Female; Geographical variations; Geostatistics; Health; Health Surveys; Humans; Infant; Infant mortality; Infant, Newborn; Insecticides; Insecticides - therapeutic use; Interventions; Mortality; Preventive medicine; Proportional Hazards Models; Remote sensing; Risk Factors; Sanitation; Social class; Social Determinants of Health - statistics & numerical data; Statistics; Sub-national scale; Sustainable development; Uganda; Water
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-019-7636-x

To reduce the under-five mortality (U5M), fine-gained spatial assessment of the effects of health interventions is critical because national averages can obscure important sub-national disparities. In turn, sub-national estimates can guide control programmes for spatial targeting. The purpose of our study is to quantify associations of interventions with U5M rate at national and sub-national scales in Uganda and to identify interventions associated with the largest reductions in U5M rate at the sub-national scale. Spatially explicit data on U5M, interventions and sociodemographic indicators were obtained from the 2011 Uganda Demographic and Health Survey (DHS). Climatic data were extracted from remote sensing sources. Bayesian geostatistical Weibull proportional hazards models with spatially varying effects at sub-national scales were utilized to quantify associations between all-cause U5M and interventions at national and regional levels. Bayesian variable selection was employed to select the most important determinants of U5M. At the national level, interventions associated with the highest reduction in U5M were artemisinin-based combination therapy (hazard rate ratio (HRR) = 0.60; 95% Bayesian credible interval (BCI): 0.11, 0.79), initiation of breastfeeding within 1 h of birth (HR = 0.70; 95% BCI: 0.51, 0.86), intermittent preventive treatment (IPTp) (HRR = 0.74; 95% BCI: 0.67, 0.97) and access to insecticide-treated nets (ITN) (HRR = 0.75; 95% BCI: 0.63, 0.84). In Central 2, Mid-Western and South-West, largest reduction in U5M was associated with access to ITNs. In Mid-North and West-Nile, improved source of drinking water explained most of the U5M reduction. In North-East, improved sanitation facilities were associated with the highest decline in U5M. In Kampala and Mid-Eastern, IPTp had the largest associated with U5M. In Central1 and East-Central, oral rehydration solution and postnatal care were associated with highest decreases in U5M respectively. Sub-national estimates of the associations between U5M and interventions can guide control programmes for spatial targeting and accelerate progress towards mortality-related Sustainable Development Goals.