Introduction: Surgical volume was drastically reduced in many countries due to challenges imposed by the COVID-19 pandemic.
Objectives: We sought to estimate the number of cancelled surgical and diagnostic procedures within the Brazilian private healthcare system between 2020 and 2021 over the course of the COVID-19 pandemic, and to project the procedural backlog generated for specific elective and time-sensitive surgeries, and diagnostic procedures.
Methods: Data were systematically extracted from the Brazilian national regulatory agency for the private healthcare system and included (i) quarterly and annual surgical and diagnostic volume, and (ii) the number of private health insurance beneficiaries between January 2016 and June 2021. Based on pre-pandemic data we estimated the expected number of surgical and diagnostic procedures that failed to be performed between 2020 and 2021.
Results: The average quarterly surgical and diagnostic procedures declined by 29.5% in 2020 and by 21.5% in 2021 compared to 2019. In 2020, such reduction reflected a lower number of diagnostic procedures under anesthesia (-35.1%), as well as elective (-14.7%), time-sensitive (-18.8%), and urgent (-4.6%) surgeries. In the first half of 2021, though the surgical and diagnostic procedures increased compared to 2020, they remained significantly below their historical average. The estimated backlogs were 134.385,64 for total surgical procedures, 2.634,64 for bariatric surgery and arthroplasty revision (elective surgeries), 2.845,61 for oncologic (time-sensitive) surgeries, and 304.193,99 for diagnostic procedures, requiring 1.7, 15.9, and 6.8 years, respectively, to make up for such backlogs.
Conclusion: There was a major decline on the number of surgical and diagnostic procedures due to the COVID-19 pandemic. Despite a slight recovery of elective surgeries throughout the pandemic, many time-sensitive surgeries and diagnostic procedures were cancelled, with potential medium- to long-term consequences to patients and the system as a whole.
Copyright: © 2023 Degani Costa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.