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Retrospective evaluation of the symptom-based work restriction strategy of healthcare providers in the first epidemic of COVID-19 at a tertiary care hospital in Tokyo, Japan

  • Hiroki Shikano
  • , Yuki Uehara
  • , Rino Kuboki
  • , Erika Tashino
  • , Fumiko Nakahara
  • , Yumi Matsumoto
  • , Satomi Kusakabe
  • , Chizumi Fukazawa
  • , Takahiro Matsuo
  • , Nobuyoshi Mori
  • , Akiko Ayabe
  • , Torahiko Jinta
  • , Fumika Taki
  • , Fumie Sakamoto
  • , Osamu Takahashi
  • , Tsuguya Fukui

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Effectiveness of restricting healthcare providers (HCPs) from working based on the coronavirus disease 2019 (COVID-19)-like symptoms should be evaluated. Methods: A total of 495 HCPs in a tertiary care hospital in Tokyo, Japan, participated in this study between June and July in 2020. Analysis of serum anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody to identify infected HCPs, questionnaire surveys, and medical record reviews were conducted to evaluate the appropriateness of symptom-based work restriction for 10 days. Results: Five participants (1.0%) were identified as infected. Forty-six participants (9.3%) experienced work restriction and all 5 infected participants (10.8%) restricted working, even though the real-time reverse transcription-polymerase chain reaction was positive only in 4 participants (80.0%). There were no unexpectedly infected participants among those who did not experience work restriction. However, only 46 of 110 HCPs with COVID-19-like symptoms (41.8%) restricted themselves from working. Discussion: Symptom-based work restriction strategy successfully prevented infected HCPs to work, but showed low specificity to identify truly infected HCPs, and their low adherence to the strategy was revealed. Conclusions: HCPs with COVID-19-like symptoms should restrict working as the first step of infection prevention, but the strategy to identify truly infected HCPs is necessary.

Original languageEnglish
Pages (from-to)645-650
Number of pages6
JournalAmerican Journal of Infection Control
Volume50
Issue number6
DOIs
Publication statusPublished - 06-2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Infectious Diseases

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