Browsing by Author "Kajungu, Dan"

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    An assessment of non-communicable disease mortality among adults in Eastern Uganda, 2010–2016
    (Plos one, 2021) Natukwatsa, Davis; Wosu, Adaeze C.; Ndyomugyenyi, Donald Bruce; Waibi, Musa; Kajungu, Dan
    There is a dearth of studies assessing non-communicable disease (NCD) mortality withinpopulation-based settings in Uganda. We assessed mortality due to major NCDs among persons 30 years in Eastern Uganda from 2010 to 2016.The study was carried out at the Iganga-Mayuge health and demographic surveillance site in the Iganga and Mayuge districts of Eastern Uganda. Information on cause of death was obtained through verbal autopsies using a structured questionnaire to conduct face-face interviews with carers or close relatives of the deceased. Physicians assigned likely cause of death using ICD-10 codes. Age-adjusted mortality rates were calculated using direct method, with the average population across the seven years of the study (2010 to 2016) as the standard. Age categories of 30–40, 41–50, 51–60, 61–70, and 71 years were used for standardization. A total of 1,210 deaths among persons 30 years old were reported from 2010 to 2016 (50.7% among women). Approximately 53% of all deaths were due to non-communicable diseases, 31.8% due to communicable diseases, 8.2% due to injuries, and 7% due to maternal-related deaths or undetermined causes. Cardiovascular diseases accounted for thevlargest proportion of NCD deaths in each year, and women had substantially higher cardio-vascular disease mortality rates compared to men. Conversely, women had lower diabetes mortality rates than men for five of the seven years examined.Non-communicable diseases are major causes of death among adults in Iganga and Mayuge; and cardiovascular diseases and diabetes are leading causes of NCD deaths.
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    Cohort Profile: The Iganga-Mayuge Health and Demographic Surveillance Site, Uganda (IMHDSS, Uganda)
    (International journal of epidemiology, 2020) Kajungu, Dan; Hirose, Atsumi; Rutebemberwa, Elizeus; Pariyo, George W; Peterson, Stefan; Guwatudde, David; Galiwango, Edward; Tusubira, Valerie; Kaija, Judith; Nareeba, Tryphena; Hanson, Claudia
    The Iganga Mayuge Health and Demographic Surveillance Site (IMHDSS) was set up in 2004 to provide a platform for community-based epidemiological research and research training. Seed funding was provided by the Swedish International Development Agency (SIDA) as part of the Karolinska Institutet, Sweden and Makerere University– Sweden bilateral research collaboration. The specific objectives at inception were to (i) register and monitor health and demographic events (births, deaths, migration) and dynamics in a population and serve as a resource of information for decision making, providing an environment for several community-based projects in single-/multi-disciplinary research and research training; (ii) provide unique, essential, household-level information individually tailored for policy, planning and research needs; (iii) provide a platform for training in applied field research and practical health, socioeconomic and demographic survey methods to students, staff and researchers; and (iv) provide a platform for high-quality household survey data for operational field trials that measures interventions including but not limited to, monitoring trends in communicable and noncommunicable diseases (NCDs), clinical and vaccine trials and other surveillance activities.
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    Randomised Comparison Of Two Household Survey Modules For Measuring Stillbirths And Neonatal Deaths In Five Countries: The Every Newborn-INDEPTH Study
    (The Lancet Global Healt, 2020) Akuze, Joseph; Blencowe, Hannah; Waiswa, Peter; Baschieri, Angela; Gordeev, Vladimir S; Kwesiga, Doris; Fisker, Ane B.; Thysen, Sanne M.; Rodrigues, Amabelia; Biks, Gashaw A.; Abebe, Solomon M.; Gelaye, Kassahun A.; Mengistu, Mezgebu Y.; Geremew, Bisrat M.; Delele, Tadesse G.; Tesega, Adane K.; Yitayew, Temesgen A.; Kasasa, Simon; Galiwango, Edward; Natukwatsa, Davis; Kajungu, Dan; Enuameh, Yeetey A.K.; Nettey, Obed E.; Dzabeng, Francis; Amenga-Etego, Seeba; Newton, Sam K.; Tawiah, Charlotte; Asante, Kwaku P.; Owusu-Agyei, Seth; Alam, Nurul; Haider, Moinuddin M.; Imam, Ali; Mahmud, Kaiser; Cousens, Simon; Lawn, Joy E.
    An estimated 5·1 million stillbirths and neonatal deaths occur annually. Household surveys, most notably the Demographic and Health Survey (DHS), run in more than 90 countries and are the main data source from the highest burden regions, but data-quality concerns remain. We aimed to compare two questionnaires: a full birth history module with additional questions on pregnancy losses (FBH+; the current DHS standard) and a full pregnancy history module (FPH), which collects information on all livebirths, stillbirths, miscarriages, and neonatal deaths.
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    Risk Factors for Neonatal Mortality in Rural Iganga District, Eastern Uganda: A Case Control Study
    (The East African Health Research Journal, 2023-11-30) Ndyomugyenyi, Bruce Donald; Nabukeera, Betty; Natukwatsa, Davis; Barageine, Justus Kafunjo; Kajungu, Dan
    Reducing Neonatal Mortality (NM) is vital in decreasing mortality in children below 5 years. Uganda has reported a significant reduction in under 5 and infant mortality over the past decade while NM has stagnated at 27 deaths per 1,000 live births. The NMR of 34 deaths per 1,000 live births in Eastern Uganda is higher than the national rate. To determine risk factors for neonatal mortality in rural Iganga district, Eastern Uganda. A matched case-control study was conducted between February and July 2019 in Nakigo and Nakalama sub-counties of Iganga district. Cases (n=91) were neonates that died and the controls (n=182) were live neonates at 1 month. Data on maternal, social demographic and neonatal variables were collected from mothers of neonates at household level. Descriptive analysis was performed to determine the profile of study participants. Data was presented as mean (and standard deviation) for continuous variables, and frequencies with percentages for categorical variables. A conditional logistic regression was performed to calculate Odds Ratios and to establish factors that were independently associated with risk of neonatal Mortality. Giving birth to 5 or more children (AOR=2.88, 95% CI =1.25–6.63), attending less than 4 antenatal care visits (AOR= 2.27, 95% CI= 1.14–5.54), and giving birth to twins (AOR= 6.30, 95% CI=1.24–32.0) were the risk factors for neonatal mortality while delivering from health facilities was protective (AOR= 0.26, 95% CI= 0.12–0.56). The risk factors for NM are: - giving birth to 5 or more children, attendance of less than 4 antenatal care visits and giving birth to twins. To reduce the risk of NM, the study re-emphasises the need to put more focus on neonatal care during pregnancy and child birth. The study findings can be utilised to determine priorities for reducing the risk of NM in rural settings.