Absenteeism and presenteeism in healthcare workers due to respiratory illness

Author:

Kuster Stefan P.ORCID,Böni Jürg,Kouyos Roger D.,Huber Michael,Schmutz Stefan,Shah Cyril,Bischoff-Ferrari Heike A.,Distler Oliver,Battegay Edouard,Giovanoli Pietro,Guckenberger Matthias,Kohler Malcolm,Müller Rouven,Petry Heidi,Ruschitzka Frank,McGeer Allison,Coleman Brenda L.,Sax Hugo,Weber Rainer,Trkola Alexandra

Abstract

AbstractObjective:To assess influenza symptoms, adherence to mask use recommendations, absenteesm and presenteeism in acute care healthcare workers (HCWs) during influenza epidemics.Methods:The TransFLUas influenza transmission study in acute healthcare prospectively followed HCWs prospectively over 2 consecutive influenza seasons. Symptom diaries asking for respiratory symptoms and adherence with mask use recommendations were recorded on a daily basis, and study participants provided midturbinate nasal swabs for influenza testing.Results:In total, 152 HCWs (65.8% nurses and 13.2% physicians) were included: 89.1% of study participants reported at least 1 influenza symptom during their study season and 77.8% suffered from respiratory symptoms. Also, 28.3% of HCW missed at least 1 working day during the study period: 82.6% of these days were missed because of symptoms of influenza illness. Of all participating HCWs, 67.9% worked with symptoms of influenza infection on 8.8% of study days. On 0.3% of study days, symptomatic HCWs were shedding influenza virus while at work. Among HCWs with respiratory symptoms, 74.1% adhered to the policy to wear a mask at work on 59.1% of days with respiratory symptoms.Conclusions:Respiratory disease is frequent among HCWs and imposes a significant economic burden on hospitals due to the number of working days lost. Presenteesm with respiratory illness, including influenza, is also frequent and poses a risk for patients and staff.Trial registration:NCT02478905 (clinicaltrials.gov)

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

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