Factors associated with COVID-19 fatality among patients admitted in Mashonaland West Province, Zimbabwe 2020-2022: a secondary data analysis.

Introduction: approximately 15% of COVID-19 patients develop symptoms necessitating admission. From 2020 to 2022, Mashonaland West Province had an institutional case fatality rate of 23% against a national rate of 7%. Therefore, we evaluated the COVID-19 admissions in the province to determine the factors associated with COVID-19 mortality. Methods: we conducted an analytical cross-sectional study based on secondary data from isolation centers across the province using all 672 death audit forms and patient records. We obtained data on patient demographics, signs and symptoms, clinical management and oxygen therapy administered, among other things. Data were entered into an electronic form and imported into Epi-info 7 for analysis bivariate and multivariate conducted. Results: we found that being an older man, aOR 1.04 (1.03-1.05), who had diabetes aOR 6.0 (95% CI: 3.8-9.2) and hypertension aOR 4.5 (95% CI: 2.8-6.5) were independent risk factors. Patients put on dexamethasone aOR 2.4 (95% CI: 1.6-3.4) and heparin/clexane aOR 1.6 (95% CI: 1.1-2.2) had a higher mortality risk. However, vitamin C aOR 0.48 (95% CI: 0.31-0.71) and oxygen therapy aOR 0.14 (95% CI: 0.10-0.19) and being pregnant aOR 0.06 (95% CI: 0.02-0.14) were protective. Conclusion: mortality risk increased in older male patients with comorbidities and with those on dexamethasone and heparin therapy. Oxygen therapy and vitamin C were protective. There is a need to conduct further study of the source of these variations in risk across patients to establish the true impact of differences in individuals' mortality.

Factors associated with COVID-19 fatality among patients admitted in Mashonaland West Province, Zimbabwe 2020-2022: a secondary data analysis

Introduction: approximately 15% of COVID-19 patients develop symptoms necessitating admission. From 2020 to 2022, Mashonaland West Province had an institutional case fatality rate of 23% against a national rate of 7%. Therefore, we evaluated the COVID-19 admissions in the province to determine the factors associated with COVID-19 mortality. Methods: we conducted an analytical cross-sectional study based on secondary data from isolation centers across the province using all 672 death audit forms and patient records. We obtained data on patient demographics, signs and symptoms, clinical management and oxygen therapy administered, among other things. Data were entered into an electronic form and imported into Epi-info 7 for analysis bivariate and multivariate was conducted. Results: we found that being an older man, aOR 1.04 (1.03-1.05), who had diabetes aOR 6.0 (95% CI: 3.8-9.2) and hypertension aOR 4.5 (95% CI: 2.8-6.5) were independent risk factors. Patients put on dexamethasone aOR 2.4 (95% CI: 1.6-3.4) and heparin/clexane aOR 1.6 (95% CI: 1.1-2.2) had a higher mortality risk. However, vitamin C aOR 0.48 (95% CI: 0.31-0.71) and oxygen therapy aOR 0.14 (95% CI: 0.10-0.19) and being pregnant aOR 0.06 (95% CI: 0.02-0.14) were protective. Conclusion: mortality risk increased in older male patients with comorbidities and with those on dexamethasone and heparin therapy. Oxygen therapy and vitamin C were protective. There is a need to conduct further study of the source of these variations in risk across patients to establish the true impact of differences in individuals' mortality.

Predictors of COVID-19 infection among health care workers in Harare City, Zimbabwe, 2021.

Introduction: preventing COVID-19 infection among health workers maintains the health system capacity and reduces secondary transmission. Of 506 health workers tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in Harare City between December 2020 and February 2021 (second wave), 128 (25%) tested positive, affecting service delivery. We investigated factors associated with COVID-19 infection and described breakthrough infections among health workers. Methods: we conducted a cross-sectional study in Harare City. Interviews were conducted with 467 health workers to determine behavioral, occupational, and non-occupational factors associated with COVID-19 infection. Fifteen key informants were interviewed to verify responses. Records and line-list were reviewed to verify cases, outcomes, and vaccination status. Observations were done to check adherence to prevention measures. Epi-info generated means, frequencies, proportions and conducted univariate, bivariate and multivariate analysis. Statistical significance was at p-value<0.05. Results: we interviewed 467 health workers, 166 (35.5%) had a history of COVID-19 infection. Females were the majority 357 (76.4%), mostly nurses 200 (42.8%). Those not trained on infection control measures in the past six months (aOR=2.13; 95%CI 1.06-4.27; p=0.03), not observing social distance at mealtimes (aOR=6.33; 95%CI 3.36-11.89; p<0.01), having a household COVID-19 case (aOR=9.03; 95%CI 3.93-20.76; p<0.01) and not properly wearing facemasks (aOR=16.68; 95%CI 9.39-29.61; p<0.01) were significantly associated COVID-19 infection. Of 378 health workers fully vaccinated, 39 (10.3%) had breakthrough infections. Most with breakthrough infections, 33 (84.6%) had asymptomatic or mild disease. One death was recorded, a female, not vaccinated, with uncontrolled diabetes. Conclusion: predictors of COVID-19 infection among health workers were, no training on infection and prevention and control (IPC) measures, lack of social distancing at mealtimes, improper use of facemasks, and having a COVID-19 case at household level. We conducted refresher training to strengthen infection control measures.

An evaluation of the notifiable disease surveillance system in Chegutu District, Zimbabwe, 2020: a cross-sectional study.

Introduction: in 2018-2019 Chegutu District had one notification form Tally 1 (T1) that was completed instead of seven for detected notifiable diseases. Different figures of cholera were reported through weekly rapid disease notification system with 106 patients and Notifiable Diseases Surveillance System (NDSS) with 111 patients, causing data discrepancy. We evaluated the NDSS to determine reasons for underperformance and data discrepancy. Methods: we conducted descriptive cross-sectional study using updated centres for disease control and prevention guidelines for surveillance system evaluation. We recruited forty-six health workers. Interviewer-administered questionnaires and checklists were used to collect data on reasons for underperformance, reasons for data discrepancy, knowledge of NDSS, surveillance system attributes and usefulness. Epi InfoTM7 generated frequencies, proportions, and means. Likert scale was used to assess health worker knowledge. Results: of the forty-six health workers, 34 (78%) had fair knowledge of NDSS. The reason for system underperformance was lack of training in NDSS 42 (91%). Data discrepancy was attributed to typographical mistakes made during data entry on WhatsApp platform 32 (70%). Eighty per cent (37) were willing to complete T1 forms. Six participants who were timed took ten minutes to complete T1 forms. Among 17 health facilities, only three had fifteen T1 forms that were adequate to notify first five cases in an outbreak. Notifiable diseases surveillance system data was used for planning health education 28 (68%). Conclusion: the NDSS was unstable due to health workers' inadequate knowledge and unavailability of T1 forms. Notifiable diseases surveillance system was found to be simple, acceptable, and useful. We recommended NDSS training of health workers.

Trends of stillbirths in Harare City, Zimbabwe, 2015-2019: a secondary data analysis.

Introduction: in Zimbabwe, perinatal mortality is a major public health problem. Harare City data showed increase in stillbirth rate trend from 4/1000 live births in 2014 to 6/1000 live births in 2018, failing to meet the country's target of reducing stillbirth rate by 40%. We analysed the characteristics of stillbirths from 2015 to 2019 in Harare City. Methods: we conducted a retrospective analytical cross-sectional study using secondary data from Harare City Health Department's 12 baby-delivery polyclinics. Fourteen key informants were interviewed to verify information obtained. Using Epi-info, descriptive summaries and graphs were generated and bivariate and multivariate logistic regression was conducted. Statistical significance was considered at a p-value <0.05. Results: a total of 700(74.9%) perinatal death notification records were reviewed. The majority were macerated stillbirths 418(59.7%) followed by fresh stillbirths 189(27.0%). The median age for women who had fresh stillbirths was 26 years (Q1=22; Q2=32). Preterm delivery (aOR= 2.15; 95%CI 1.81- 3.89; p<0.01), having delivered by breech presentation (aOR= 3.32; 95%CI 1.72-6.41; p=<0.01), and being HIV positive (aOR= 1.69; 95%CI 1.02-2.79; p=0.04) were associated with preterm delivery. Conclusion: stillbirths in Harare City were increasing and were due to preventable causes. The younger maternal age group was most affected hence preventive activities should focus on them. Improving the quality of antenatal care, delivery, and new-born care can help reduce stillbirths and early neonatal death.

Evaluation of the weekly disease surveillance system for epidemic-prone diseases in Makonde District, Zimbabwe 2020: a descriptive cross-sectional study.

Introduction: the weekly disease surveillance system (WDSS) is a tool used to provide an early warning of potential public health threats in Zimbabwe. In 2020, Makonde District failed to detect an anthrax outbreak at one of its facilities, this untimely and poor response of the district increased morbidity. We evaluated the weekly disease surveillance system to determine reasons for missing outbreaks and determine the usefulness of the system in the detection of outbreaks. Methods: we conducted descriptive cross-sectional study using updated Centres for Disease Control and Prevention guidelines for surveillance system evaluation. We recruited 46 health workers. A structured pretested interviewer-administered questionnaire was used to collect data on reasons for missing outbreaks, knowledge, usefulness and surveillance system attributes. Data were cleaned and bivariate analysis was conducted. Results: health workers found the system simple (85%), acceptable (75%) and flexible (60%). However, we found only 5 (11%) health workers could correctly describe the surveillance system, only 2 (3%) were trained in disease surveillance, only 31 (65%) sent data on time, 57% of clinics had stock outs of forms, 60% of forms had entries with 100% of the data filled out and 22 (46%) of health workers analysed the data gathered and used it in meetings. Conclusion: the surveillance system was simple, flexible, acceptable, but unstable, untimely and not useful. There was poor knowledge on the surveillance system, health workers were not trained on disease surveillance, and quality of data was poor. Health workers should be trained in surveillance and data validation and adequate reporting tools provided.