Determinants of the under-fives survival in eastern Uganda, 2010 – 2015.
Good family planning practices of mothers improve child survival up to five years of age. Spouse participation in reproductive health and births is key in minimizing under-five mortalities. There is need to implement interventions that encourage male participation and empower women on family planning practices like child spacing. Download PDF
Knowledge, attitude & perceptions on ADEs reporting among patients & healthcare providers in rural Uganda
Reporting of suspected adverse drug events (ADEs) is very low in LMICs due to weak pharmacovigilance systems[1]. Little is known about Ugandan public knowledge and perception about ADEs and this can be understood through community knowledge, attitudes and practices (KAP) studies Download PDF
Application of machine learning methods to burden of disease research and predictors of cause specific adult mortalities in rural Uganda
The trends of mortalities due to NCD have increased in recent years. Injuries are mostly affecting the young and productive population groups. The machine learning approaches like TreeNet is a flexible and powerful tool capable of consistently generating easy to interpret results and accurate models. This evidence informs burden of disease research and policy. Download PDF
A classification and regression tree (CART) analysis to model the predictors of a mother’s choice of delivery place in Uganda’s rural settings.
There are still expectant mothers who prefer to delivery out of health facility influenced by their birth attendant and other reasons. To mitigate the maternal mortality, more targeted sensitization and incentives are needed for expectant mothers on the importance of delivering within a health facility with a trained medical personnel. Download PDF
Electronic health system for morbidity surveillance in a health and demographic surveillance site in rural Eastern Uganda
An HDSS that links with health facility data is effective in morbidity surveillance. Such a system can be used to monitor SDG goals which are measured at health facility, can be utilized for pharmacovigilance and drug utilization studies like antibiotics use. Routine morbidity surveillance information is vital in planning for health products at facility, enhances adherence to guidelines as most importantly informing policy and guiding future health care interventions in Uganda. Download PDF
MUCHAP-Iganga Mayuge HDSS led community blood donation campaign_ Over 900 deaths are averted by blood donated!
A five day campaign conducted in December 2017 attracted 1008 participants of which 778 (77.2%) sought HIV/AIDS testing services. 230 units of blood were collected sufficient to save 900 lives of children aged below five years. Fear of death asr esult of blood donation is a major misconception deterring participation of masses in donation. Integration of other services such as HIV testing, cancer screening, health education may influence increase in participation. Females were reluctant to donate blood. Rewards to long term blood donors is recommended. Download PDF
Verbal Autopsy for COD Determination
Makerere University platform improves population health metrics through continuous community registration of births and deaths (and causes of death)Half of the world’s deaths occur outside health systems, even those which occur within the health systems, their cause of deaths (COD) is not ascertained especially at lower level health facilities because they lack capacity to carry out post-mortems.
IMHDSS of Makerere University has piloted and mildly configured the WHO verbal autopsy tools for 12 years and is now adopting an electronic data capture system of WHO tool version 2016. The tools capture Verbal Autopsy data for Neonates (0-28 days), Child (29 days to 14 years), and Adult (15 years and above). Download PDF
Population pyramids
The 2015, 2016 and 2017 Iganga Mayuge HDSS population pyramids give the age-sex distribution of the people in the surveillance cohort. Majority or the broader part of the pyramid are young population below 15 years (48% compares to 50% of the national estimate, UDHS 2016) and the narrow part (3.4%) represents the elderly (60 years and above). Adolescents (10-19 years) make up 27% of the population compared to 24% of the national estimate (UDHS 2016). Approximately 51% is dependent population who are aged below 15 years & those above 65 years which compares to the national estimate of 53% (UDHS 2016).
