RESUMO
The development and administration of vaccines against COVID-19 was a key element in the fight against the pandemic, as it protected health systems and helped restore global economies. National implementation plans and vaccination strategies for COVID-19 vaccines ensured the immunization of large segments of the population in the shortest time. However, even before the start of the vaccination campaign, it was clear to decision-makers that the usual methods of vaccination were not suitable. The aim of this report is to share the experience of an Italian teaching hospital in the organisation of spaces and activities of healthcare workers to realise a safe vaccination campaign. An in-depth analysis of how the vaccination campaign was organised could be useful to understand strengths and weaknesses learnt from this experience and plan an effective, efficient, and resilient response to future pandemics right away. The adoption of a systemic clinical risk management (SCRM) could guarantee healthcare organizations a more adequate and resilient response in an ethics of a job well done perspective, allowing them to maintain high patient safety standards regardless of the contingent situation for which safety first should be the motto of a disaster response plan.
RESUMO
Introduction: COVID-19 (Coronavirus Disease 19) has rapidly spread all around the world. Vaccination represents one of the most promising counter-pandemic measures. There is still little specific evidence in literature on how to safely and effectively program access and flow through specific healthcare settings to avoid overcrowding in order to prevent SARS-CoV-2 transmission. Literature regarding appointment scheduling in healthcare is vast. Unpunctuality however, especially when targeting healthcare workers during working hours, is always possible. Therefore, when determining how many subjects to book, using a linear method assuming perfect adhesion to scheduled time could lead to organizational problems. Methods: This study proposes a "Queuing theory" based approach. A COVID-19 vaccination site targeting healthcare workers based in a teaching hospital in Rome was studied to determine real-life arrival rate variability. Three simulations using Queueing theory were performed. Results: Queueing theory application reduced subjects queueing over maximum safety requirements by 112 in a real-life based vaccination setting, by 483 in a double-sized setting and by 750 in a mass vaccination model compared with a linear approach. In the 3 settings, respectively, the percentage of station's time utilization was 98.6, 99.4 and 99.8%, while the average waiting time was 27.2, 33.84, and 33.84 min. Conclusions: Queueing theory has already been applied in healthcare. This study, in line with recent literature developments, proposes the adoption of a Queueing theory base approach to vaccination sites modeling, during the COVID-19 pandemic, as this tool enables to quantify ahead of time the outcome of organizational choices on both safety and performance of vaccination sites.