Electronic self-assessment of COVID-19 symptoms among healthcare workers

Purpose Daily monitoring of COVID-19 symptoms/history of contact in hospital staff is useful for ensuring safety in the hospital. An electronic self- assessment tool could be used to monitor staff without using excessive resources and resulting in unnecessary contact. The objective of our study was to describe the results of a self-assessment COVID-19 daily monitor log in hospital employees. Methods A description of characteristics of staff who filled the log and follow-up of those who reported symptoms/history of contact was collected. An online self-assessment of COVID-19 symptoms/contact history was developed and used at a hospital in Bahrain. All staff completed the daily COVID-19 log. Data were collected during the month of June 2020. Results Out of 47,388 responses, 853 (2%) of staff reported either COVID-19 symptoms/history of contact with diagnosed COVID-19 case. The most frequently reported symptom was sore throat (23%), followed by muscle pain (12.6%). The highest frequency of staff who reported symptoms and/or contact was in nurses. Of those who reported symptoms/contact, 18 were diagnosed with COVID-19. The majority (83.3%) of the infected staff obtained the virus through community transmission, and only 16.7% obtained the virus through hospital transmission. Conclusion The electronic self-assessment log for staff during COVID-19 could be used as a safety measure in hospitals. Moreover, the study highlights the importance of targeting community transmission in an effort to increase hospital safety.

Electronic self-assessment of COVID-19 symptoms among healthcare workers.

Purpose: Daily monitoring of COVID-19 symptoms/history of contact in hospital staff is useful for ensuring safety in the hospital. An electronic self- assessment tool could be used to monitor staff without using excessive resources and resulting in unnecessary contact. The objective of our study was to describe the results of a self-assessment COVID-19 daily monitor log in hospital employees. Methods: A description of characteristics of staff who filled the log and follow-up of those who reported symptoms/history of contact was collected. An online self-assessment of COVID-19 symptoms/contact history was developed and used at a hospital in Bahrain. All staff completed the daily COVID-19 log. Data were collected during the month of June 2020. Results: Out of 47,388 responses, 853 (2%) of staff reported either COVID-19 symptoms/history of contact with diagnosed COVID-19 case. The most frequently reported symptom was sore throat (23%), followed by muscle pain (12.6%). The highest frequency of staff who reported symptoms and/or contact was in nurses. Of those who reported symptoms/contact, 18 were diagnosed with COVID-19. The majority (83.3%) of the infected staff obtained the virus through community transmission, and only 16.7% obtained the virus through hospital transmission. Conclusion: The electronic self-assessment log for staff during COVID-19 could be used as a safety measure in hospitals. Moreover, the study highlights the importance of targeting community transmission in an effort to increase hospital safety.

Does influenza vaccination help reduce incidence of COVID-19 infection among hospital employees?

ABSTRACT: To facilitate the understanding of the interaction between severe acute respiratory syndrome coronavirus 2 causing the corona virus disease 2019 (COVID-19) and other pathogens causing respiratory system affection we investigated the effect of influenza vaccination on the incidence and severity of COVID-19 among members of staff working in the Bahrain Defense Force Hospital.All staff members working in the hospital between February 2020 and March 2021 were divided into 2 main groups based on whether or not they received influenza vaccination. None of the participants had received any of the COVID-19 vaccines throughout this time period. The records of each were scrutinized to see the effect of influenza vaccination on incidence and severity of COVID-19. Severity measures were: need for hospital and intensive care unit admission and total length of hospital stay.Incidence of affection with COVID-19 was much lower in the vaccinated group (3.7% vs 8.1%, P < .001). Influenza vaccination also reduced total length of hospital stay (6.2 days vs 12.7 days, P < .05) and need for intensive care unit admission among the patients.Influenza vaccine reduces both the incidence of affection as well as the overall burden of COVID-19. This is of particular importance for people working in the healthcare field during the serious COVID-19 pandemic.

Risk factors, predictions, and progression of acute kidney injury in hospitalized COVID-19 patients: An observational retrospective cohort study.

OBJECTIVES: Studies have shown that acute kidney injury (AKI) occurrence post SARS-CoV-2 infection is complex and has a poor prognosis. Therefore, more studies are needed to understand the rate and the predications of AKI involvement among hospitalized COVID-19 patients and AKI's impact on prognosis while under different types of medications. PATIENTS AND METHODS: This study is a retrospective observational cohort study conducted at Bahrain Defence Force (BDF) Royal Medical Services. Medical records of COVID-19 patients admitted to BDF hospital, treated, and followed up from April 2020 to October 2020 were retrieved. Data were analyzed using univariate and multivariate logistic regression with covariate adjustment, and the odds ratio (OR) and 95% confidence (95% CI) interval were reported. RESULTS: Among 353 patients admitted with COVID-19, 47.6% developed AKI. Overall, 51.8% of patients with AKI died compared to 2.2% of patients who did not develop AKI (p< 0.001 with OR 48.6 and 95% CI 17.2-136.9). Besides, deaths in patients classified with AKI staging were positively correlated and multivariate regression analysis revealed that moderate to severe hypoalbuminemia (<32 g/L) was independently correlated to death in AKI patients with an OR of 10.99 (CI 95% 4.1-29.3, p<0.001). In addition, 78.2% of the dead patients were on mechanical ventilation. Besides age as a predictor of AKI development, diabetes and hypertension were the major risk factors of AKI development (OR 2.04, p<0.01, and 0.05 for diabetes and hypertension, respectively). Also, two or more comorbidities substantially increased the risk of AKI development in COVID-19 patients. Furthermore, high levels upon hospital admission of D-Dimer, Troponin I, and ProBNP and low serum albumin were associated with AKI development. Lastly, patients taking ACEI/ARBs had less chance to develop AKI stage II/III with OR of 0.19-0.27 (p<0.05-0.01). CONCLUSIONS: The incidence of AKI in hospitalized COVID-19 patients and the mortality rate among AKI patients were high and correlated with AKI staging. Furthermore, laboratory testing for serum albumin, hypercoagulability and cardiac injury markers maybe indicative for AKI development. Therefore, clinicians should be mandated to perform such tests on admission and follow-up in hospitalized patients.