Browsing by Author "Atwine, Diana"
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Item Acute Hypoxaemic Respiratory Failure In A Low-Income Country: A Prospective Observational Study Of Hospital Prevalence And Mortality(BMJ Open Respiratory Research, 2020) Kwizera, Arthur; Nakibuuka, Jane; Nakiyingi, Lydia; Sendagire, Cornelius; Tumukunde, Janat; Katabira, Catherine; Ssenyonga, Ronald; Kiwanuka, Noah; Kateete, David Patrick; Joloba, Moses; Kabatoro, Daphne; Atwine, Diana; Summers, CharlotteLimited data exist on the epidemiology of acute hypoxaemic respiratory failure (AHRF) in low-income countries (LICs). We sought to determine the prevalence of AHRF in critically ill adult patients admitted to a Ugandan tertiary referral hospital; determine clinical and treatment characteristics as well as assess factors associated with mortality.We conducted a prospective observational study at the Mulago National Referral and Teaching Hospital in Uganda. Critically ill adults who were hospitalised at the emergency department and met the criteria for AHRF (acute shortness of breath for less than a week) were enrolled and followed up for 90 days. Multivariable analyses were conducted to determine the risk factors for death.A total of 7300 patients was screened. Of these, 327 (4.5%) presented with AHRF. The majority (60 %) was male and the median age was 38 years (IQR 27–52). The mean plethysmographic oxygen saturation (SpO2) was 77.6% (SD 12.7); mean SpO2/FiO2 ratio 194 (SD 32) and the mean Lung Injury Prediction Score (LIPS) 6.7 (SD 0.8). Pneumonia (80%) was the most common diagnosis. Only 6% of the patients received mechanical ventilatory support. In-hospital mortality was 77% with an average length of hospital stay of 9.2 days (SD 7). At 90 days after enrolment, the mortality increased to 85%. Factors associated with mortality were severity of hypoxaemia (risk ratio (RR) 1.29 (95% CI 1.15 to 1.54), p=0.01); a high LIPS (RR 1.79 (95% CI 1.79 1.14 to 2.83), p=0.01); thrombocytopenia (RR 1.23 (95% CI 1.11 to 1.38), p=0.01); anaemia (RR 1.15 (95% CI 1.01 to 1.31), p=0.03) ; HIV co-infection (RR 0.84 (95% CI 0.72 to 0.97), p=0.019) and male gender (RR 1.15 (95% CI 1.01 to 1.31) p=0.04).The prevalence of AHRF among emergency department patients in a tertiary hospital in an LIC was low but was associated with very high mortality. Pneumonia was the most common cause of AHRF. Mortality was associated with higher severity of hypoxaemia, high LIPS, anaemia, HIV co-infection, thrombocytopenia and being male.Item Ebola disease outbreak caused by the Sudan virus in Uganda, 2022: a descriptive epidemiological study(Elsevier Ltd, 2024-10) Ario, Alex R; Ahirirwe, Sherry R; Ocero, Jane R Aceng; Atwine, Diana; Muruta, Allan N; Kagirita, Atek; Tegegn, Yonas; Kadobera, Daniel; Kwesiga, Benon; Gidudu, Samuel; Migisha, Richard; Makumbi, Issa; Elyanu, Peter J; Ndyabakira, Alex; Et.alUganda has had seven Ebola disease outbreaks, between 2000 and 2022. On Sept 20, 2022, the Ministry of Health declared a Sudan virus disease outbreak in Mubende District, Central Uganda. We describe the epidemiological characteristics and transmission dynamics.BACKGROUNDUganda has had seven Ebola disease outbreaks, between 2000 and 2022. On Sept 20, 2022, the Ministry of Health declared a Sudan virus disease outbreak in Mubende District, Central Uganda. We describe the epidemiological characteristics and transmission dynamics.For this descriptive study, cases were classified as suspected, probable, or confirmed using Ministry of Health case definitions. We investigated all reported cases to obtain data on case-patient demographics, exposures, and signs and symptoms, and identified transmission chains. We conducted a descriptive epidemiological study and also calculated basic reproduction number (Ro) estimates.METHODSFor this descriptive study, cases were classified as suspected, probable, or confirmed using Ministry of Health case definitions. We investigated all reported cases to obtain data on case-patient demographics, exposures, and signs and symptoms, and identified transmission chains. We conducted a descriptive epidemiological study and also calculated basic reproduction number (Ro) estimates.Between Aug 8 and Nov 27, 2022, 164 cases (142 confirmed, 22 probable) were identified from nine (6%) of 146 districts. The median age was 29 years (IQR 20-38), 95 (58%) of 164 patients were male, and 77 (47%) patients died. Symptom onsets ranged from Aug 8 to Nov 27, 2022. The case fatality rate was highest in children younger than 10 years (17 [74%] of 23 patients). Fever (135 [84%] of 160 patients), vomiting (93 [58%] patients), weakness (89 [56%] patients), and diarrhoea (81 [51%] patients) were the most common symptoms; bleeding was uncommon (21 [13%] patients). Before outbreak identification, most case-patients (26 [60%] of 43 patients) sought care at private health facilities. The median incubation was 6 days (IQR 5-8), and median time from onset to death was 10 days (7-23). Most early cases represented health-care-associated transmission (43 [26%] of 164 patients); most later cases represented household transmission (109 [66%]). Overall Ro was 1·25.FINDINGSBetween Aug 8 and Nov 27, 2022, 164 cases (142 confirmed, 22 probable) were identified from nine (6%) of 146 districts. The median age was 29 years (IQR 20-38), 95 (58%) of 164 patients were male, and 77 (47%) patients died. Symptom onsets ranged from Aug 8 to Nov 27, 2022. The case fatality rate was highest in children younger than 10 years (17 [74%] of 23 patients). Fever (135 [84%] of 160 patients), vomiting (93 [58%] patients), weakness (89 [56%] patients), and diarrhoea (81 [51%] patients) were the most common symptoms; bleeding was uncommon (21 [13%] patients). Before outbreak identification, most case-patients (26 [60%] of 43 patients) sought care at private health facilities. The median incubation was 6 days (IQR 5-8), and median time from onset to death was 10 days (7-23). Most early cases represented health-care-associated transmission (43 [26%] of 164 patients); most later cases represented household transmission (109 [66%]). Overall Ro was 1·25.Despite delayed detection, the 2022 Sudan virus disease outbreak was rapidly controlled, possibly thanks to a low Ro. Children (aged <10 years) were at the highest risk of death, highlighting the need for targeted interventions to improve their outcomes during Ebola disease outbreaks. Initial care-seeking occurred at facilities outside the government system, showing a need to ensure that private and public facilities receive training to identify possible Ebola disease cases during an outbreak. Health-care-associated transmission in private health facilities drove the early outbreak, suggesting gaps in infection prevention and control.INTERPRETATIONDespite delayed detection, the 2022 Sudan virus disease outbreak was rapidly controlled, possibly thanks to a low Ro. Children (aged <10 years) were at the highest risk of death, highlighting the need for targeted interventions to improve their outcomes during Ebola disease outbreaks. Initial care-seeking occurred at facilities outside the government system, showing a need to ensure that private and public facilities receive training to identify possible Ebola disease cases during an outbreak. Health-care-associated transmission in private health facilities drove the early outbreak, suggesting gaps in infection prevention and control.None.FUNDINGNone. MEDLINE - AcademicItem Estimating the Effect and Cost-Effectiveness of Facemasks in Reducing the Spread of the Severe Acute Respiratory Syndrome- Coronavirus 2 (SARS-CoV-2) in Uganda(medRxiv., 2020) Nannyonga, Betty K.; Wanyenze, Rhoda K.; Kaleebu, Pontiano; Ssenkusu, John M.; Lutalo, Tom; Makumbi, Fredrick Edward; Kwizera, Arthur; Byakika, Pauline; Kirungi, Willford; Bosa, Henry Kyobe; Ssembatya, Vincent A.; Mwebesa, Henry; Atwine, Diana; Aceng, Jane Ruth; Woldermariam, Yonas TegegnEvidence that face masks provide effective protection against respiratory infections in the community is scarce. However, face masks are widely used by health workers as part of droplet precautions when caring for patients with respiratory infections. It would therefore be reasonable to suggest that consistent widespread use of face masks in the community could prevent further spread of the Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2). In this study we examine public face mask wearing in Uganda where a proportion wears masks to protect against acquiring, and the other to prevent from transmitting SARS-CoV-2. The objective of this study was to determine what percentage of the population would have to wear face masks to reduce susceptibility to and infectivity of SARS-COV-2 in Uganda, keeping the basic reproduction number below unity and/or flattening the curve. We used an SEIAQRD model for the analysis. Results show that implementation of facemasks has a relatively large impact on the size of the coronavirus epidemic in Uganda. We find that the critical mask adherence is 5 per 100 when 80% wear face masks. A cost-effective analysis shows that utilizing funds to provide 1 public mask to the population has a per capita compounded cost of USD 1.34. If provision of face masks is done simultaneously with supportive care, the per capita compounded cost is USD 1.965, while for the case of only treatment and no provision of face masks costs each Ugandan USD 4.0579. We conclude that since it is hard to achieve a 100% adherence to face masks, government might consider provision of face masks in conjunction with provision of care.Item Estimating the Effect and Cost-Effectiveness of Facemasks in Reducing the Spread of the Severe Acute Respiratory Syndrome- Coronavirus 2 (SARS-CoV-2) in Uganda(CC-BY-ND 4.0 International license ., 2020) Nannyonga, Betty K.; Wanyenze, Rhoda K.; Kaleebu, Pontiano; Ssenkusu, John M.; Lutalo, Tom; Makumbi, Fredrick Edward; Kwizera, Arthur; Byakika, Pauline; Kirungi, Willford; Kyobe Bosa, Henry; Ssembatya, Vincent A.; Mwebesa, Henry; Atwine, Diana; Aceng, Jane Ruth; Woldermariamç, Yonas TegegnEvidence that face masks provide effective protection against respiratory infections in the community is scarce. However, face masks are widely used by health workers as part of droplet precautions when caring for patients with respiratory infections. It would therefore be reasonable to suggest that consistent widespread use of face masks in the community could prevent further spread of the Severe Acute Respiratory Syndrome-Coronavirus 2 (SARSCoV- 2). In this study we examine public face mask wearing in Uganda where a proportion wears masks to protect against acquiring, and the other to prevent from transmitting SARSCoV- 2. The objective of this study was to determine what percentage of the population would have to wear face masks to reduce susceptibility to and infectivity of SARS-COV-2 in Uganda, keeping the basic reproduction number below unity and/or flattening the curve. We used an SEIAQRD model for the analysisItem A health care professionals training needs assessment for oncology in Uganda(Human Resources for Health, 2020) Byamugisha, Josaphat; Munabi, Ian G.; Mubuuke, Aloysius G.; Mwaka, Amos D.; Kagawa, Mike; Okullo, Isaac; Niyonzima, Nixon; Lusiba, Pastan; Ainembabazi, Peruth; Kankunda, Caroline; Muhumuza, Dennis D.; Orem, Jackson; Atwine, Diana; Ibingira, CharlesCancer incidence and mortality in sub-Saharan Africa are increasing and do account for significant premature death. The expertise of health care providers is critical to downstaging cancer at diagnosis and improving survival in low- and middle-income countries. We set out to determine the training needs of health care providers for a comprehensive oncology services package in selected hospitals in Uganda, in order to inform capacity development intervention to improve cancer outcomes in the East African region. Methods: This was a cross-sectional survey using the WHO Hennessey-Hicks questionnaire to identify the training needs of health workers involved in cancer care, across 22 hospitals in Uganda. Data were captured in real time using the Open Data Kit platform from which the data was exported to Stata version 15 for analysis using the Wilcoxon signed-rank test and Somers-Delta. Results: There were 199 respondent health professionals who were predominately female (146/199, 73.37%), with an average age of 38.97 years. There were 158/199 (79.40%) nurses, 24/199 (12.06%) medical doctors and 17/199 (8.54%) allied health professionals. Overall, the research and audit domain had the highest ranking for all the health workers (Somers-D = 0.60). The respondent’s level of education had a significant effect on the observed ranking (P value = 0.03). Most of the continuing medical education (CME) topics suggested by the participants were in the clinical task-related category. Conclusion: The “research and audit” domain was identified as the priority area for training interventions to improve oncology services in Uganda. There are opportunities for addressing the identified training needs with an expanded cancer CME programme content, peer support networks and tailored training for the individual health care provider.Item A health care professionals training needs assessment for oncology in Uganda(Human Resources for Health, 2020) Byamugisha, Josaphat; Munabi, Ian G.; Mubuuke, Aloysius G.; Mwaka, Amos D.; Kagawa, Mike; Okullo, Isaac; Niyonzima, Nixon; Lusiba, Pastan; Ainembabazi, Peruth; Kankunda, Caroline; Muhumuza, Dennis D.; Orem, Jackson; Atwine, Diana; Ibingira, CharlesCancer incidence and mortality in sub-Saharan Africa are increasing and do account for significant premature death. The expertise of health care providers is critical to down staging cancer at diagnosis and improving survival in low- and middle-income countries. We set out to determine the training needs of health care providers for a comprehensive oncology services package in selected hospitals in Uganda, in order to inform capacity development intervention to improve cancer outcomes in the East African region.Item Infodemic: How an Epidemic of Misinformation Could Lead to a High Number of the Novel Corona Virus Disease Cases in Uganda(Preprints, 2020) Nannyonga, Betty K.; Wanyeze, Rhoda K.; Kaleebu, Pontiano; Ssenkusu, John M.; Ssengooba, Freddie; Lutalo, Tom; Kirungi, Willford; Makumbi, Fredrick Edward; Bosa, Henry Kyobe; Ssembatya, Vincent A.; Mwebesa, Henry; Atwine, Diana; Aceng, Jane Ruth; Woldermariam, Yonas TegegnMisinformation during the COVID-19 outbreak has shaped our perception of the disease. Some people thinkthe disease is a bioweapon while others are convinced that it is a hoax. Heightened anxiety often producesfearful rumors, some of which are absurd while others seem plausible and are laced with some truths. But, how does misinformation affect disease spread? In this paper, we construct a mathematical model parameterized by Ugandan data, to study the effect of misinformation on community COVID-19 spread. The analysis shows that misinformation leads to high number of COVID-19 cases in a community, and the effect is highest in the rumour initiators and spreaders. This analysis underscores the importance of addressing misinformation in COVID risk communication.Item The Ugandan Severe Acute Respiratory Syndrome -Coronavirus 2 (SARS-CoV-2) Model: A Data Driven Approach to Estimate Risk(medRxiv, 2020) Nannyonga, Betty; Kyobe Bosa, Henry; Woldermariam, Yonas T.; Kaleebu, Pontiano; Ssenkusu, John M.; Lutalo, Tom; Kirungi, Willford; Makumbi, Fredrick E.; Ssembatya, Vincent A.; Mwebesa, Henry G.; Atwine, Diana; Aceng, Jane R.; Wanyenze, Rhoda K.The first case of Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) was identified on March 21, 2020, in Uganda. The number of cases increased to 8,287 by September 30, 2020. By May throughout June, most of the cases were predominantly imported cases of truck drivers from neighbouring countries. Uganda responded with various restrictions and interventions including lockdown, physical distancing, hand hygiene, and use of face masks in public, to control the growth rate of the outbreak. By end of September 2020, Uganda had transitioned into community transmissions and most of the reported cases were locals contacts and alerts. This study assessed risks associated with SARS-CoV-2 in Uganda, and presents estimates of the reproduction ratio in real time. An optimal control analysis was performed to determine how long the current mitigation measures such as controlling the exposure in communities, rapid detection, confirmation and contact tracing, partial lockdown of the vulnerable groups and control at the porous boarders, could be implemented and at what cost. Methods: The daily confirmed cases of SARS-CoV-2 in Uganda were extracted from publicly available sources. Using the data, relative risks for age, gender, and geographical location were determined. Four approaches were used to forecast SARS-CoV-2 in Uganda namely linear exponential, nonlinear exponential, logistic and a deterministic model.