The prevalence, determinants, and consequences of post-COVID in healthcare workers: A cross-sectional survey

J Med Virol. 2024 Jun;96(6):e29725. doi: 10.1002/jmv.29725.

Abstract

Data on post-coronavirus disease (COVID) in healthcare workers (HCWs) are scarce. We aimed to assess prevalence, determinants, and consequences of post-COVID in HCWs. In fall 2022, we performed a cross-sectional survey in a tertiary care hospital with a web-based questionnaire sent to HCWs. Post-COVID was defined as persistent/new symptoms 3 months after acute COVID. Propensity score weighting was performed to assess the impact of post-COVID on return-to-work. 1062 HCWs completed the questionnaire, 713 (68%) reported at least one COVID, and 109 (10%) met the definition for post-COVID, with workplace contamination reported in 51 (47%). On multivariable analysis, risk factors for post-COVID were female gender (p = 0.047), ≥50 years (p = 0.007), immunosuppression (p = 0.004), ≥2 COVID episodes (p = 0.003), and ≥5 symptoms during acute COVID (p = 0.005). Initial sick leave was prescribed for 94 HCWs (86% post-COVID), for a median duration of 7 [7-9] days, and extended for 23. On return-to-work, 91 (84%) had residual symptoms, primarily asthenia/fatigue (72%) and cognitive impairment (25%). Cognitive impairment at return-to-work was associated with post-COVID. Ten HCWs (9%) received a medical diagnosis of post-COVID, 8 consulted the occupational physician, and four required work adaptation. Post-COVID affected 10% of HCWs. Long-term consequences included repeated sick leaves and residual symptoms on return-to-work.

Keywords: COVID; healthcare workers; occupational medicine; post‐COVID; rehabilitation; return‐to‐work; web‐based questionnaire.

MeSH terms

  • Adult
  • COVID-19* / epidemiology
  • Cross-Sectional Studies
  • Female
  • Health Personnel* / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Post-Acute COVID-19 Syndrome
  • Prevalence
  • Return to Work / statistics & numerical data
  • Risk Factors
  • SARS-CoV-2
  • Sick Leave / statistics & numerical data
  • Surveys and Questionnaires