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Review
. 2021 Oct;35(3):415-424.
doi: 10.1016/j.bpa.2020.11.006. Epub 2020 Nov 20.

Patients, procedures, and PPE: Safe office-based anesthesia recommendations in the COVID-19 era

Steven Young  1 , Brian M Osman  2 , Richard D Urman  3 , Fred E Shapiro  4
Affiliations
Review

Patients, procedures, and PPE: Safe office-based anesthesia recommendations in the COVID-19 era

Steven Young et al. Best Pract Res Clin Anaesthesiol. 2021 Oct.

Abstract

The growth of office-based surgery (OBS) has been due to ease of scheduling and convenience for patients; office-based anesthesia safety continues to be well supported in the literature. In 2020, the Coronavirus Disease 19 (COVID-19) has resulted in dramatic shifts in healthcare, especially in the office-based setting. The goal of closing the economy was to flatten the curve, impacting office-based and ambulatory practices. Reopening of the economy and the return to ambulatory surgery and OBS and procedures have created a challenge due to COVID-19 and the infectious disease precautions that must be taken. Patients may be more apt to return to the outpatient setting to avoid the hospital, especially with the resurgence of COVID-19 cases locally, nationally, and worldwide. This review provides algorithms for screening and testing patients, selecting patients for procedures, choosing appropriate procedures, and selecting suitable personal protective equipment in this unprecedented period.

Keywords: COVID-19; anesthesia; office-based; outpatient; patient selection; safety; surgery.

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Conflict of interest statement

Declaration of competing interest Steven Young: None declared under financial, general, and institutional competing interests Brian M. Osman: None declared under financial, general, and institutional competing interests Richard D. Urman: Declared research funding from Merck, Medtronic, Acacia, Pfizer, AcelRx and fees from Takeda and Heron. Fred E. Shapiro: None declared under financial, general, and institutional competing interests

Figures

Fig. 1
Fig. 1
Testing and screening algorithm.
Fig. 2
Fig. 2
Algorithm for Low Incidence of COVID-19 (Less than 4 cases per 100,000 population).
Fig. 3
Fig. 3
Algorithm for High Incidence of COVID-19 (Greater than 4 cases per 100,000 population).
See this image and copyright information in PMC

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