ArticleBMC pregnancy and childbirth2020
Identifying risk factors for perinatal death at Tororo District Hospital, Uganda: a case-control study.
Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 14 citations in OpenAlex.
- The relationship between prolonged travel and mortality among women with complicated deliveries in rural Kenya.Journal of global health · 2026Article
- Birth intervals and the risk of perinatal mortality in Indonesia: findings from a cross-sectional study.BMJ open · 2026Article
- Term stillbirths in Eastern Uganda: a community-based prospective cohort study.Global health action · 2025Article
- 'The grave must not be seen by anyone!': Beliefs and practices about stillbirths in Eastern Uganda.Reproductive health · 2025Article
- Stillbirth rates, trend and distribution in the Volta region, Ghana: findings from institutional data analysis, 2018-2022.BMC pregnancy and childbirth · 2025Article
- Perinatal care and its association with perinatal death among women attending care in three district hospitals of western Uganda.BMC pregnancy and childbirth · 2024Article
- Determinants of mortality among neonates admitted to neonatal intensive care unit at public hospitals, in the Somali region, eastern Ethiopia: unmatched case-control study.The Pan African medical journal · 2024Article
- Prediction of stillbirth low resource setting in Northern Uganda.BMC pregnancy and childbirth · 2022Article
- Perinatal Mortality Analysis in Espírito Santo, Brazil, 2008 to 2017.International journal of environmental research and public health · 2021Article
- Maternal and neonatal factors associated with perinatal deaths in a South African healthcare institution.Health SA = SA Gesondheid · 2020Article
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSub-Saharan Africa faces a disproportionate burden of perinatal deaths globally. However, data to inform targeted interventions on an institutional level is lacking, especially in rural settings. The objective of this study is to identify risk factors for perinatal death at a resource-limited hospital in Uganda.
methodsThis is a retrospective case-control study at a district hospital in eastern Uganda using birth registry data. Cases were admissions with stillbirths at or beyond 24 weeks or neonatal deaths within 28 days of birth. Controls were admissions that resulted in deliveries immediately preceding and following each case. We compared demographic and obstetric factors between cases and controls to identify risk factors for perinatal death. Subgroup analysis of type of perinatal death was also performed. Chi square, Fisher's exact, t-test, and Wilcoxon-Mann-Whitney rank sum tests were utilized for bivariate analysis, and multiple logistic regression for multivariate analysis.
resultsFrom January 2014 to December 2014, there were 185 cases of perinatal death, of which 36% (n = 69) were macerated stillbirths, 40% (n = 76) were fresh stillbirths, and 25% (n = 47) were neonatal deaths. The rate of perinatal death among all deliveries at the institution was 35.5 per 1000 deliveries. Factors associated with increased odds perinatal death included: prematurity (adjusted odds ratio (aOR) 19.7, 95% confidence interval (CI) 7.2-49.2), breech presentation (aOR 7.0, CI 1.4-35.5), multiple gestation (aOR 4.0, CI 1.1-13.9), cesarean delivery (aOR 3.8, CI 2.3-6.4) and low birth weight (aOR 2.5, CI 1.1-5.3). Analysis by subtype of perinatal death revealed distinct associations with the aforementioned risk factors, in particular for antepartum hemorrhage, which was only associated with fresh stillbirths (aOR 6.7, CI 1.6-28.8), and low birth weight.
conclusionsThe rate of perinatal death at our rural hospital site was higher than national targets, and these deaths were associated with prematurity, low birth weight, breech presentation, multiple gestation, and cesarean delivery. This data and the approach utilized to acquire it can be leveraged to inform targeted interventions to reduce the rate of stillbirths and neonatal deaths in similar low resource settings.
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