PropertyValue
?:abstract
  • Background Healthcare workers (HCWs) are at the forefront of fighting against the COVID-19 pandemic However, they are at high risk of acquiring the pathogen from infected patients and transmitting to other HCWs We aimed to investigate risk factors for nosocomial COVID-19 infection among HCWs in a non-COVID-19 hospital yard Methods Retrospective data collection on demographics, lifestyles, contact status with infected subjects for 118 HCWs (including 12 COVID-19 HCWs) at Union Hospital of Wuhan, China Sleep quality and working pressure were evaluated by the Pittsburgh Sleep Quality Index (PSQI) and The Nurse Stress Index (NSI), respectively The follow-up duration was from Dec 25, 2019, to Feb 15, 2020 Results A high proportion of COVID-19 HCWs had engaged in night shift-work (75 0% vs 40 6%) and felt working under pressure (66 7% vs 32 1%) than uninfected HCWs SARS-CoV-2 infected HCWs had significantly higher scores of PSQI and NSI than uninfected HCWs (P<0 001) Specifically, scores of 5 factors (sleep quality, time, efficiency, disorder, and daytime dysfunction) in PSQI were higher among infected HCWs For NSI, its 5 subscales (nursing profession and work, workload and time allocation, working environment and resources, patient care, management, and interpersonal relations) were all higher in infected than uninfected HCWs Furthermore, total scores of PSQI (HR=50 99, 95%CI=4 13-630 15;P=0 002) and NSI (HR=55 42, 95%CI=2 39-1285 99;P=0 012) were both positively associated with the risk of SARS-CoV-2 infection Conclusion Our analysis shows that poor sleep quality and higher working pressure may increase the risk of nosocomial SARS-CoV-2 infection among HCWs
is ?:annotates of
?:creator
?:journal
  • Sleep_Medicine:_X
?:license
  • unk
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • WHO
?:title
  • Risk factors of SARS-CoV-2 infection in healthcare workers: A retrospective study of a nosocomial outbreak
?:type
?:who_covidence_id
  • #857168
?:year
  • 2020

Metadata

Anon_0  
expand all