Factors associated with prolonged hospitalization of patients with corona virus disease (COVID-19) in Uganda: a retrospective cohort study.

INTRODUCTION: Identification of factors predicting prolonged hospitalization of patients with coronavirus disease (COVID-19) guides the planning, care and flow of patients in the COVID-19 Treatment Units (CTUs). We determined the length of hospital stay and factors associated with prolonged hospitalization among patients with COVID-19 at six CTUs in Uganda. METHODS: We conducted a retrospective cohort study of patients admitted with COVID-19 between January and December 2021 in six CTUs in Uganda. We conducted generalized linear regression models of the binomial family with a log link and robust variance estimation to estimate risk ratios of selected exposure variables and prolonged hospitalization (defined as a hospital stay for 14 days or more). We also conducted negative binomial regression models with robust variance to estimate the rate ratios between selected exposures and hospitalization duration. RESULTS: Data from 968 participants were analyzed. The median length of hospitalization was 5 (range: 1-89) days. A total of 136/968 (14.1%: 95% confidence interval (CI): 11.9-16.4%) patients had prolonged hospitalization. Hospitalization in a public facility (adjusted risk ratio (ARR) = 2.49, 95% CI: 1.65-3.76), critical COVID-19 severity scores (ARR = 3.24: 95% CI: 1.01-10.42), and malaria co-infection (adjusted incident rate ratio (AIRR) = 0.67: 95% CI: 0.55-0.83) were associated with prolonged hospitalization. CONCLUSION: One out of seven COVID-19 patients had prolonged hospitalization. Healthcare providers in public health facilities should watch out for unnecessary hospitalization. We encourage screening for possible co-morbidities such as malaria among patients admitted for COVID-19.

Coronavirus disease-2019 morbidity and mortality among health care workers in Uganda.

Background: Health care workers (HCWs) are at increased risk of acquiring coronavirus disease 2019 (COVID-19). This study aimed to determine and compare the morbidity and mortality rates due to COVID-19 among the HCWs and the general population (non-HCWs). Methods: We conducted a retrospective chart review. We accessed electronic database of participants admitted at Mulago National Referral Hospital COVID-19 Treatment Unit (CTU) between March 2020 and September 2021. Participants with missing occupations were excluded. Results: Of 594 eligible participants, 6.4% (n = 38) were HCWs. Compared with non-HCWs, HCWs were much younger (48 versus 55 years, p = 0.020). The proportion of participants with severe disease (73.7% versus 77.6%, p = 0.442), who had not received COVID-19 vaccine (91.2% versus 94.7%, p = 0.423), mortality rate (44.7% versus 54.8%, p = 0.243) and the median length of hospitalization (6 versus 7 days, p = 0.913) were similar among HCWs and non-HCWs, respectively. A higher proportion of HCWs required oxygen therapy (24.3% versus 9.7%, p < 0.01). At admission, the presence of cough (p = 0.723), breathlessness (p = 0.722), fever (p = 0.19), sore throat (p = 0.133), comorbidities (p = 0.403) and headache (p = 0.162) were similar across groups. Rhinorrhoea was more common among HCWs (34.4% versus 16.6%, p = 0.017). Among HCWs, nurses had the highest morbidity (52.6%) and mortality (58.8%). Conclusion: The morbidity and mortality among HCWs in Uganda were substantial, with a low COVID-19 vaccination rate and a higher requirement for oxygen therapy despite a younger age.

Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study.

BACKGROUND: Assessing factors associated with mortality among COVID-19 patients could guide in developing context relevant interventions to mitigate the risk. The study aimed to describe mortality and associated factors among COVID-19 patients admitted at six health facilities in Uganda. METHODS: We reviewed medical records of patients admitted with COVID-19 between January 1st 2021 and December 31st 2021 in six hospitals in Uganda. Using Stata version 17.0, Kaplan Meier and Cox regression analyses were performed to describe the time to death and estimate associations between various exposures and time to death. Finally, accelerated failure time (AFT) models with a lognormal distribution were used to estimate corresponding survival time ratios. RESULTS: Out of the 1040 study participants, 234 (22.5%: 95%CI 12.9 to 36.2%) died. The mortality rate was 30.7 deaths per 1000 person days, 95% CI (26.9 to 35.0). The median survival time was 33 days, IQR (9-82). Factors associated with time to COVID-19 death included; age ≥ 60 years [adjusted hazard ratio (aHR) = 2.4, 95% CI: [1.7, 3.4]], having malaria test at admission [aHR = 2.0, 95% CI:[1.0, 3.9]], a COVID-19 severity score of severe/critical [aHR = 6.7, 95% CI:[1.5, 29.1]] and admission to a public hospital [aHR = 0.4, 95% CI:[0.3, 0.6]]. The survival time of patients aged 60 years or more is estimated to be 63% shorter than that of patients aged less than 60 years [adjusted time ratio (aTR) 0.37, 95% CI 0.24, 0.56]. The survival time of patients admitted in public hospitals was 2.5 times that of patients admitted in private hospitals [aTR 2.5 to 95%CI 1.6, 3.9]. Finally, patients with a severe or critical COVID-19 severity score had 87% shorter survival time than those with a mild score [aTR 0.13, 95% CI 0.03, 0.56]. CONCLUSION: In-hospital mortality among COVID-19 patients was high. Factors associated with shorter survival; age ≥ 60 years, a COVID-19 severity score of severe or critical, and having malaria at admission. We therefore recommend close monitoring of COVID-19 patients that are elderly and also screening for malaria in COVID-19 admitted patients.

Aspergillus-specific IgM/IgG antibody serostatus of patients hospitalized with moderate-critical COVID-19 in Uganda.

Invasive pulmonary aspergillosis is known to complicate the coronavirus diseases-2019 (COVID-19), especially those with critical illness. We investigated the baseline anti-Aspergillus antibody serostatus of patients with moderate-critical COVID-19 hospitalized at 3 COVID-19 Treatment Units in Uganda. All 46 tested patients, mean age 30, and 11% with underlying respiratory disease had a negative serum anti-Aspergillus IgM/IgG antibody immunochromatographic test on day 3 (mean) of symptom onset (range 1-26), but follow up specimens to assess seroconversion were not available.

Health Care Workers' Perceived Self-Efficacy to Manage COVID-19 Patients in Central Uganda: A Cross-Sectional Study.

Background: The novel coronavirus disease 2019 (COVID-19) pandemic placed health workers at the frontline of the emergency task force response; a duty that requires professional expertise and confidence to rapidly identify and treat patients with COVID-19. This study explored perceived self-efficacy (PSE) of health care workers (HCWs) in the management of patients with COVID-19 and associated factors in central Uganda. Methods: We recruited 418 HCWs from four national referral hospitals in Uganda. Multivariate linear regression analysis was utilized to determine factors associated with PSE. A p-value > 0.05 was considered statistically significant. Results: Majority of the participants were female, about half were nurses/midwives, and had 10 years of work experience on average. Overall, HCWs reported moderate PSE in managing COVID-19 patients which reduced with increasing severity of the COVID-19 illness. Having a PhD, being a medical doctor, agreeing or completely agreeing that one has knowledge about COVID-19 management, and having COVID-19 management training were significantly associated with increase in one's level of PSE. Conclusion: This study highlights an unsatisfactory, moderate level of PSE among HCWs in the management of patients with COVID-19 in central Uganda. The health sector should focus on improving HCWs' self-efficacy through continuous training of all HCWs in the clinical management of especially the severe and critically ill cases of COVID-19. Non-doctor HCWs should be given priority as they scored lower levels of PSE; yet they are the corner stone of the primary health care system and make majority of the health human resource in low- and middle-income countries. Interventions towards creating a safe working environment for HCWs through provision of adequate infection prevention and control strategies are essential in boosting HCWs confidence to manage COVID-19 patients.

Double Face Mask Use for COVID-19 Infection Prevention and Control Among Medical Students at Makerere University: A Cross-Section Survey.

INTRODUCTION: The second wave of COVID-19 greatly affected the health care and education systems in Uganda, due to the infection itself and the lockdowns instituted. Double masking has been suggested as a safe alternative to double-layered masks, where the quality of the latter may not be guaranteed. This study aimed to determine patterns of double mask use among undergraduate medical students at Makerere University, Uganda. METHODS: We conducted a descriptive cross-sectional study using an online questionnaire. All students enrolled at the College of Health Sciences; Makerere University received the link to this questionnaire to participate. Logistic regression analysis was used to assess factors associated with double mask use. RESULTS: A total of 348 participants were enrolled. The majority (61.8%) were male; the median age was 23 (range: 32) years. Up to 10.3%, 42%, and 4.3% reported past COVID-19 positive test, history of COVID-19 symptoms, and having comorbidities, respectively. Up to 40.8% had been vaccinated against COVID-19. More than half (68.7%) believed double masking was superior to single masking for COVID-19 IPC, but only 20.5% reported double masking. Participants with a past COVID-19 positive test [aOR: 2.5; 95% CI: 1.1-5.8, p = 0.026] and participants who believed double masks had a superior protective advantage [aOR: 20; 95% CI: 4.9-86.2, p < 0.001] were more likely to double mask. Lack of trust in the quality of masks (46.5%) was the most frequent motivation for double masking, while excessive sweating (68.4%), high cost of masks (66.4%), and difficulty in breathing (66.1%) were the major barriers. CONCLUSION: Very few medical students practice double masking to prevent COVID-19. Coupled with inconsistencies in the availability of the recommended four-layered masks in Uganda and increased exposure in lecture rooms and clinical rotations, medical students may be at risk of contracting COVID-19.

High Mortality During the Second Wave of the Coronavirus Disease 2019 (COVID-19) Pandemic in Uganda: Experience From a National Referral COVID-19 Treatment Unit.

BACKGROUND: We evaluated clinical outcomes of patients hospitalized with coronavirus disease 2019 (COVID-19) in the second wave of the pandemic in a national COVID-19 treatment unit (CTU) in Uganda. METHODS: We conducted a retrospective cohort study of COVID-19 patients hospitalized at the Mulago National Referral Hospital CTU between May 1 and July 11, 2021. We performed Kaplan-Meier analysis to evaluate all-cause in-hospital mortality. RESULTS: Of the 477 participants, 247 (52%) were female, 15 (3%) had received at least 1 dose of the COVID-19 vaccine, and 223 (46%) had at least 1 comorbidity. The median age was 52 (interquartile range, 41-65) years. More than 80% of the patients presented with severe (19%, n=91) or critical (66%, n=315) COVID-19 illness. Overall, 174 (37%) patients died. Predictors of all-cause in-hospital mortality were as follows; age ≥50 years (adjusted odds ratio [aOR], 1.9; 95% confidence interval [CI], 1.2-3.2; P=.011), oxygen saturation at admission of ≥92% (aOR, 0.97; 95% CI, 0.91-0.95; P<.001), and admission pulse rate of ≥100 beats per minute (aOR, 1.01; 95% CI, 1.00-1.02; P=.042). The risk of death was 1.4-fold higher in female participants compared with their male counterparts (hazards ratio, 1.4; 95% CI, 1.0-2.0; P=.025). CONCLUSIONS: In this cohort, where the majority of the patients presented with severe or critical illness, more than one third of the patients hospitalized with COVID-19 at a national CTU died of the illness.

COVID-19 vaccine acceptance among high-risk populations in Uganda.

BACKGROUND: Immunization is an important strategy for controlling the COVID-19 pandemic. COVID-19 vaccination was recently launched in Uganda, with prioritization to healthcare workers and high-risk individuals. In this study, we aimed to determine the acceptability of COVID-19 vaccine among persons at high risk of COVID-19 morbidity and mortality in Uganda. METHODS: Between 29 March and 14 April 2021, we conducted a cross-sectional survey consecutively recruiting persons at high risk of severe COVID-19 (diabetes mellitus, HIV and cardiovascular disease) attending Kiruddu National Referral Hospital outpatient clinics. A trained research nurse administered a semi-structured questionnaire assessing demographics, COVID-19 vaccine related attitudes and acceptability. Descriptive statistics, bivariate and multivariable analyses were performed using STATA 16. RESULTS: A total of 317 participants with a mean age 51.5 ± 14.1 years were recruited. Of this, 184 (60.5%) were female. Overall, 216 (70.1%) participants were willing to accept the COVID-19 vaccine. The odds of willingness to accept COVID-19 vaccination were four times greater if a participant was male compared with if a participant was female [adjusted odds ratio (AOR): 4.1, 95% confidence interval (CI): 1.8-9.4, p = 0.00]. Participants who agreed (AOR: 0.04, 95% CI: 0.01-0.38, p = 0.003) or strongly agreed (AOR: 0.04, 95% CI: 0.01-0.59, p = 0.005) that they have some immunity against COVID-19 were also significantly less likely to accept the vaccine. Participants who had a history of vaccination hesitancy for their children were also significantly less likely to accept the COVID-19 vaccine (AOR: 0.1, 95% CI: 0.01-0.58, p = 0.016). CONCLUSION: The willingness to receive a COVID-19 vaccine in this group of high-risk individuals was comparable to the global COVID-19 vaccine acceptance rate. Increased sensitization, myth busting and utilization of opinion leaders to encourage vaccine acceptability is recommended.

Medical Education and E-Learning During COVID-19 Pandemic: Awareness, Attitudes, Preferences, and Barriers Among Undergraduate Medicine and Nursing Students at Makerere University, Uganda.

Given the dearth need for healthcare workers in the control of the ongoing COVID-19 pandemic, e-learning has been adopted in many settings to hasten the continuation of medical training. However, there is a paucity of data in low resource settings on the plausibility of online learning platforms to support medical education. We aimed to assess the awareness, attitudes, preferences, and challenges to e-learning among Bachelor of Medicine and Bachelor of Surgery (MBChB) and Bachelor of Nursing (B.NUR) students at Makerere University, Uganda. An online cross-sectional study was conducted between July and August 2020. Current MBChB and B.NUR students aged 18 years or older constituted the study population. Using Google forms, a web-based questionnaire was administered through the Makerere University mailing list and WhatsApp messenger. The questionnaire was developed using validated questions from previously published studies. Overall, 221 participants responded (response rate = 61%). Of the 214 valid responses, 195 (92.1%) were Ugandans, 123 (57.5% were male, and 165 (77.1%) were pursuing the MB ChB program. The median age was 23 (18 to 40) years. Ownership of computers, smartphones, and email addresses were at 131 (61.2%), 203 (94.9%), and 208 (97.2%), respectively. However, only 57 (26.6%) respondents had access to high or very high quality internet access. Awareness and self-reported usage of e-learning (MUELE) platforms were high among 206 (96.3%) and 177 (82.7%) respondents, respectively. However, over 50% lacked skills in using the Makerere University e-learning (MUELE) platform. About half (n = 104, 49%) of the students believed that e-learning reduces the quality of knowledge attained and is not an efficient method of teaching. Monthly income (P = .006), internet connectivity quality (P < .001), computer ownership (P = .015) and frequency of usage of academic websites or applications (P = .006) significantly affected attitudes towards e-learning. Moreover, internet costs and poor internet connectivity were the most important barriers to e-learning reported by 199 (93%) and 179 (84%) students, respectively. Sensitization and training of students and faculty on e-learning and use of existing learning platforms are important to improve the attitude and use of e-learning. Blended online and use of offline downloadable learning materials would overcome the challenges related to the variable quality of internet access in the country.