To describe the clinical features and assess the determinants of severity and in-hospital mortality of patients with coronavirus disease 2019 (COVID-19) from a unique setting in Ethiopia. Methods: Consecutive patients admitted to a COVID-19 isolation and treatment centre were included in this study. The overall clinical spectrum of COVID-19, and factors associated with risk of severe COVID-19 and in-hospital mortality were analysed. Results: Of 2617 quarantined patients, three-quarters (n = 1935, 74%) were asymptomatic and only 114 (4.4%) presented with severe COVID-19. Common characteristics among the 682 symptomatic patients were cough (n = 354, 50.6%), myalgia (n = 212, 31.1%), headache (n = 196, 28.7%), fever (n = 161, 23.6%), dyspnoea (n = 111, 16.3%), anosmia and/or dysgeusia (n = 90, 13.2%), sore throat (n = 87, 12.8%) and chest pain (n = 77, 11.3%). Factors associated with severe COVID-19 were older age [adjusted relative risk (aRR) 1.78, 95% confidence interval (CI) 1.61-1.97; P < 0.0001], diabetes (aRR 2.00, 95% CI 1.20-3.32; P = 0.007), cardiovascular disease (aRR 2.53, 95% CI 1.53-4.17; P < 0.0001), malignancy (aRR 4.57, 95% CI 1.62-12.87; P = 0.004), surgery/trauma (aRR 23.98, 95% CI 10.35-55.57; P < 0.0001) and human immunodeficiency virus infection (aRR 4.24, 95% CI 1.55-11.61; P = 005). Factors associated with risk of in-hospital mortality included older age (aRR 2.37, 95% CI 1.90-2.95; P < 0.001), malignancy (aRR 6.73, 95% CI 1.50-30.16; P = 0.013) and surgery/trauma (aRR 59.52, 95% CI 12.90-274.68; P < 0.0001). Conclusions: A significant proportion of cases of COVID-19 were asymptomatic, and key comorbid conditions increased the risk of severe COVID-19 and in-hospital mortality. These findings could help in the design of appropriate management strategies for patients.
Background Globally, neonatal and child mortality remains still high. Under-five mortality accounts for four-fifth of child and young adolescent deaths. In Ethiopia, though there has been a remarkable progress over the past years, under-five mortality is still high. Evidence from population-based longitudinal studies on under-five mortality is limited. Thus, this study aims to investigate the magnitude, trend, and causes of under-five mortality in the Kilite-Awlaelo Health Demographic Surveillance System, Northern Ethiopia. Methods Kilite-Awlaelo health and demographic surveillance system was established in 2009 in the northern part of Ethiopia. Population-based longitudinal study design was carried out through extracting data for nine consecutive years (2009–2017). After smoothing the data revealed a visually decreasing trend. Linear, quadratic, exponential, and autoregressive time-series models were checked. Accordingly, the exponential trend model provided the best fit with the lowest standard error of estimate, lowest sum square error and highest adjusted R2 value. Cause-specific mortality was determined by cross tabulating cause of death with specific age death. Results The overall under-five mortality rate was 35.62 per 1000 livebirths. The under-five mortality rate of rural and urban residents was 37.58 and 12.99 deaths per 1000 livebirths respectively. The exponential trend model showed the under-five mortality rate was declining exponentially. Bacterial sepsis 67(20.6%), prematurity 37(11.08%), intestinal infection disease 30(8.98%), acute lower respiratory infections 26(7.78%), and birth asphyxia 24(7.19%) were the major causes of under-five mortality. Conclusion The overall under-five mortality rate for the surveillance period was comparatively lower. A statistically significant difference in under-five mortality rate was observed between urban and rural residents. A statistically significant declining trend in the under-five mortality rate was observed. Bacterial sepsis, prematurity, intestinal infection disease, acute lower respiratory infections, and birth asphyxia were the major causes of under-five mortality. We recommend the huge discrepancy in under-five mortality rate between urban and rural dwellers could be narrowed to some level by increasing healthcare access for rural residents.
Our purpose was to explore whether private–public partnerships (PPPs) can serve as a model for access to high-cost care in low-resource settings by examining a unique PPP providing haemodialysis services in a remote setting, investigating challenges and enablers. The study setting is a 500-bed teaching hospital serving a catchment population of 8 million in Northern Ethiopia. Based on local data collection, observation and in-depth interviews, we identified the impetus for the PPP, described the partnership agreement, reported outcomes after 6 years of activity and examined challenges that have arisen since the programme’s inception, including funding sustainability. The PPP was established in 2013 based on a decision by local leadership that treatment of patients with acute kidney injury (AKI) is a necessity rather than a luxury. A private partner was sought who could ensure service delivery as well as a reliable supply of consumables. The hospital contributions included infrastructure, personnel and sharing of maintenance costs. The partnership has facilitated uninterrupted haemodialysis service to 101 patients with AKI and 202 with chronic kidney disease. The former (>50% cured) were mainly supported by charitable donations procured by the hospital’s leadership, while the latter were self-funded. The local university and community contributed to the charity. Utilization has increased yearly. Funding and logistical issues remain. In conclusion, this PPP enabled access to previously unavailable lifesaving care in Northern Ethiopia and could serve as a model for potential scale-up for haemodialysis provision in particular, and more broadly, high-cost care in low-resource settings. An ethical commitment to provide the service, combined with ongoing administrative and community involvement has contributed to its sustained success. Lack of affordability for most patients requiring chronic haemodialysis and reliance on charitable donations for treatment of patients with AKI pose challenges to long-term sustainability.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.