| Literature DB >> 35727813 |
Jeannette Johnstone1, Adam Gabara2, Wilma M Hopman3, Naji J Touma1.
Abstract
OBJECTIVE: To assess the impact of coronavirus disease 2019 (COVID-19) on burnout rates in Canadian Urology trainees. SUBJECTS AND METHODS: A total of 37 chief residents representing all 12 Canadian Urology residency programmes attended a preparatory examination in December 2019 pre-pandemic and 39 chief residents attended virtually in November 2020 during the pandemic. The Maslach Burnout Inventory (MBI) for medical professionals' questionnaire was administered anonymously to both groups. The MBI covers emotional exhaustion, depersonalisation, and personal accomplishment. Descriptive statistics were used to analyse the data.Entities:
Keywords: COVID-19; academic training; pandemic; professional burnout; residency
Mesh:
Year: 2022 PMID: 35727813 PMCID: PMC9350087 DOI: 10.1111/bju.15834
Source DB: PubMed Journal: BJU Int ISSN: 1464-4096 Impact factor: 5.969
Comparison of the MBI scores and subdomains between the pandemic and pre‐pandemic cohorts.
| Variable | Pandemic 2020 cohort ( | Pre‐pandemic 2019 cohort ( |
|
|---|---|---|---|
| Emotional exhaustion score, mean ( | 20.2 (6.2) | 16.2 (5.6) | 0.011 |
| Low (0–18), % | 7 (28) | 20 (54.1) | |
| Moderate (19–26), % | 13 (52) | 16 (43.2) | |
| High (≥27), % | 4 (16) | 1 (2.7) | |
| Depersonalisation score, mean ( | 9.1 (3.7) | 7.1 (3.5) | 0.148 |
| Low (0–5), % | 5 (20) | 14 (37.8) | |
| Moderate (6–9), % | 9 (36) | 13 (35.1) | |
| High (≥10), % | 11 (44) | 10 (27.0) | |
| Personal accomplishment score, mean ( | 30.6 (3.6) | 32.2 (4.5) | 0.039 |
| Low (0–33), % | 15 (60) | 9 (24.3) | |
| Moderate (34–39), % | 9 (36) | 23 (62.2) | |
| High (≥40), % | 1 (4) | 5 (13.5) | |
| Burnout, % | |||
| Yes | 22 (88) | 26 (70.3) | 0.101 |
| No | 3 (12) | 11 (29.7) | |
P values are based on the independent samples t‐test for the three scores and the chi‐square test for burnout. Categorisation of the three scores is provided for additional insight.
Multivariate logistic regression of predictors of burnout.
| Variable | Odds ratio (95% CI) |
|
|---|---|---|
| Dissatisfaction between personal and professional life | 10.8 (1.5–83.3) | 0.020 |
| Coffee consumption (≥1/day) | 17.2 (2.0–150.2) | 0.010 |
| Difficulty scheduling doctor visits | 5.8 (0.6–53.4) | 0.118 |
| Securing a job in Urology | 7.6 (1.3–43.5) | 0.024 |