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Continuous quality improvement with a two-step strategy effective for large-scale SARS-CoV-2 screening at the Tokyo 2020 Olympic and Paralympic Games

Miyachi, H.; Asai, S.; Kuroki, R.; Omi, K.; Ikenoue, C.; Shimada, S.

2024-05-29 public and global health
10.1101/2024.05.29.24307666 medRxiv
Show abstract

The Tokyo 2020 Olympic Games (Games) were held during the height of the coronavirus disease 2019 (COVID-19) pandemic. In order to detect the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) early enough to contain the spread as well as to facilitate the timely arrival of athletes at their game venues, all participating athletes up to 14,000 staying in the Olympic Village were screened daily for the infection. Toward this aim, a two-step strategy was adopted comprising screening of self-collected saliva samples using a chemiluminescence enzyme immunoassay followed by confirmatory testing using polymerase chain reaction. The testing system was integrated with an information management system covering all steps. To ensure the accuracy of testing results, rigorous quality assurance measures and monitoring of performance/specimen quality were implemented. The chronological chart analysis was implemented to monitor the holistic process and to give feedback to improve the sampling. Nearly all test results for 418506 saliva samples were reported within 12 hours of sample collection, achieving the target mean turnaround time of 150 minutes for confirmatory testing. As a result, athlete activity and performance for the Games were ensured. The chronological chart confirmed that no athletes were retired due to a false-positive result and no infection clusters among athletes were identified. In conclusion, continuous quality improvement in the two-step strategy for the large-scale screening of COVID-19 contributed to the success of the Games during the pandemic. The quality practice, systems, and workflows described here may offer a model for future mass-gathering sporting events during similar major infectious disease epidemics.

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