The role of supporting services in driving SARS-CoV-2 transmission within healthcare settings: A multicenter seroprevalence study

Autor: Asma AlAbri, Salima AlMaqbali, Bader Al Abri, Seif Al-Abri, Intisar Al Shukri, Elham AlRisi, Iman Al-Beloushi, Abdullah Alqayoudhi, Salim AlBurtamani, Jabir Al-Sooti, Mahmood Al Subhi, Amina Al-Jardani, Khalifa Al Shaqsi, Najla Al-Zadjali, Amal Al-Maani, Adil Al Wahaibi, Khalid AlDaghari, Laila Al Abri, Ahmed Al Salami, Hanan Al-Kindi
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Infectious Diseases
International Journal of Infectious Diseases, Vol 107, Iss, Pp 257-263 (2021)
ISSN: 1878-3511
Popis: OBJECTIVE: To determine the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in healthcare workers (HCWs) based on risk of exposure to COVID-19 patients. METHOD: This was a SARS-CoV-2 seroprevalence cross-sectional study in risk-stratified HCWs randomly selected from three main district hospitals in Oman. RESULTS: 1078 HCWs were included, with an overall SARS-CoV-2 seroprevalence of 21%. The seropositivity rates in low-, variable-, and high-risk groups were 29%, 18%, and 17%, respectively (p-value < 0.001). The study found higher positivity in males (crude odds ratio [COR] 1.71, 95% confidence interval [CI] 1.28-2.3), and workers residing in high-prevalence areas (COR 2.09, 95% CI 1.42-3.07). Compared with doctors, workers from supporting services, administration staff, and nurses were more likely to test positive for SARS-CoV-2 antibodies (COR 9.81, 95% CI 5.26-18.27; 2.37, 95% CI 1.23-4.58; 2.08 95% CI 1.14-3.81). The overall rate of previously undetected infection was 12%, with higher values in low-risk HCWs. High district prevalence was a driving factor for seropositivity in the low-risk group (adjusted odds ratio [AOR] 2.36, 95% CI 1.0-5.59). CONCLUSION: Low-risk supporting services workers can drive SARS-CoV-2 transmission in hospitals. More attention and innovation within this area will enhance the safety of health care during epidemics/pandemics.
Databáze: OpenAIRE