How an Audit-and-Feedback-Based Educational Program Contributed to a Reduction in Environmentally Harmful Waste Anesthetic Gases Among Anesthesiology Residents

Author:

Nordin Emily J.1,Dugan Shannon M.2,Kusters Andrew C.3,Schimek Cassandra A.4,Sherman Katherine A.5,Ebert Thomas J.6

Affiliation:

1. Emily J. Nordin, BA, is a Medical Student, Medical College of Wisconsin, Milwaukee, Wisconsin, USA;

2. Shannon M. Dugan, BS, is an Anesthesiology Research Coordinator, Zablocki VA Medical Center, Milwaukee, Wisconsin, USA;

3. Andrew C. Kusters, BS, is a Biomedical Engineer, Zablocki VA Medical Center, Milwaukee, Wisconsin, USA;

4. Cassandra A. Schimek, MS, is a Program Analyst, Zablocki VA Medical Center, Milwaukee, Wisconsin, USA;

5. Katherine A. Sherman, MS, is a Statistician, Zablocki VA Medical Center, Milwaukee, Wisconsin, USA; and

6. Thomas J. Ebert, MD, PhD, is a Clinician Scientist, Medical College of Wisconsin, and Zablocki VA Medical Center, Milwaukee, Wisconsin, USA.

Abstract

Background Waste anesthetic gases (WAGs) contribute to greenhouse gas emissions. US anesthesiology resident education on how to reduce WAG-associated emissions is lacking, so we developed an electronic audit-and-feedback-based program to teach residents to reduce fresh gas flow (FGF) and WAG-associated emissions. Objective To assess the program’s effectiveness, we measured individual and combined mean FGF of residents during their first, second, and last weeks of the 4-week rotation; then, we calculated the extrapolated annual emissions based on the combined resident mean FGFs. Resident attitudes toward the program were surveyed. Methods During 4-week rotations at a teaching hospital, anesthesia records were scanned to extract resident-assigned cases, FGF, and volatile anesthetic choice during the 2020-2021 academic year. Forty residents across 3 training years received weekly FGF data and extrapolated WAG-associated emissions data via email. Their own FGF data was compared to the low-flow standard FGF of ≤1 liter per minute (LPM) and to the FGF data of their peer residents on rotation with them. An online survey was sent to residents at the end of the project period. Results Between their first and last weeks on rotation, residents decreased their mean FGF by 22% (1.83 vs 1.42 LPM; STD 0.58 vs 0.44; 95% CI 1.67-2.02 vs 1.29-1.56; P<.0001). Ten of 18 (56%) residents who responded to the survey reported their individual case-based results were most motivating toward practice change. Conclusions An audit-and-feedback-based model for anesthesiology resident education, designed to promote climate-conscious practices with administration of volatile anesthetics, was effective.

Publisher

Journal of Graduate Medical Education

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