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The ophthalmic surgical backlog associated with the COVID-19 pandemic: a population-based and microsimulation modelling study.
- Source :
-
CMAJ open [CMAJ Open] 2021 Nov 23; Vol. 9 (4), pp. E1063-E1072. Date of Electronic Publication: 2021 Nov 23 (Print Publication: 2021). - Publication Year :
- 2021
-
Abstract
- Background: Jurisdictions worldwide ramped down ophthalmic surgeries to mitigate the effects of COVID-19, creating a global surgical backlog. We sought to predict the long-term impact of COVID-19 on the timely delivery of non-emergent ophthalmology sub-specialty surgical care in Ontario.<br />Methods: This is a microsimulation modelling study. We used provincial population-based administrative data from the Wait Time Information System database in Ontario for January 2019 to May 2021 and facility-level data for March 2018 to May 2021 to estimate the backlog size and wait times associated with the COVID-19 pandemic. For the postpandemic recovery phase, we estimated the resources required to clear the backlog of patients accumulated on the wait-list during the pandemic. Outcomes were accrued over a time horizon of 3 years.<br />Results: A total of 56 923 patients were on the wait-list in the province of Ontario awaiting non-emergency ophthalmic surgery as of Mar. 15, 2020. The number of non-emergency surgeries performed in the province decreased by 97% in May 2020 and by 80% in May 2021 compared with the same months in 2019. By 2 years and 3 years since the start of the pandemic, the overall estimated number of patients awaiting surgery grew by 129% and 150%, respectively. The estimated mean wait time for patients for all subspecialty surgeries increased to 282 (standard deviation [SD] 91) days in March 2023 compared with 94 (SD 97) days in 2019. The provincial monthly additional resources required to clear the backlog by March 2023 was estimated to be a 34% escalation from the prepandemic volumes (4626 additional surgeries).<br />Interpretation: The estimates from this microsimulation modelling study suggest that the magnitude of the ophthalmic surgical backlog from the COVID-19 pandemic has important implications for the recovery phase. This model can be adapted to other jurisdictions to assist with recovery planning for vision-saving surgeries.<br />Competing Interests: Competing interests: None declared.<br /> (© 2021 CMA Joule Inc. or its licensors.)
Details
- Language :
- English
- ISSN :
- 2291-0026
- Volume :
- 9
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- CMAJ open
- Publication Type :
- Academic Journal
- Accession number :
- 34815262
- Full Text :
- https://doi.org/10.9778/cmajo.20210145