| Literature DB >> 36130759 |
Jainita Gajjar1, Naomi Pullen1, Yin Li1, Sharada Weir2,3, James G Wright1,4.
Abstract
OBJECTIVES: To estimate the impact of the SARS-CoV-2 (COVID-19) pandemic on levels of burnout among physicians in Ontario, Canada, and to understand physician perceptions of the contributors and solutions to burnout.Entities:
Keywords: COVID-19; Health & safety; Health policy; MENTAL HEALTH
Mesh:
Year: 2022 PMID: 36130759 PMCID: PMC9490300 DOI: 10.1136/bmjopen-2021-060138
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Representation of survey respondents* versus population, by physician demographic characteristics, 2020 and 2021
| Survey respondents | Population | Cumulative distribution function† | |||||||
| Number of respondents | Respondent percentage | Burnout rate | Population | Population percentage | Hypergeometric | Binomial | Representation | ||
| Gender 2020 | Female | 658 | 58.7 | 30.5% | 19 458 | 42.3 | 1 | 1 | Over |
| Male | 463 | 41.3 | 29.6% | 26 550 | 57.7 | 0 | 0 | Under | |
| Total | 1121 | 46 008 | |||||||
| Gender 2021 | Female | 1117 | 56.4 | 39.0% | 19 688 | 42.6 | 1 | 1 | Over |
| Male | 862 | 43.6 | 33.6% | 26 484 | 57.4 | 0 | 0 | Under | |
| Total | 1979 | 46 172 | |||||||
| Age cohort 2020 | Under 35 years old | 221 | 19.0 | 22.6% | 10 819 | 23.5 | 0.00011 | 0.00013 | Under |
| 35–44 years old | 292 | 25.2 | 31.2% | 9704 | 21.1 | 0.99967 | 0.99961 | Over | |
| 45–54 years old | 265 | 22.8 | 35.5% | 8487 | 18.4 | 0.99994 | 0.99992 | Over | |
| 55–64 years old | 269 | 23.2 | 34.9% | 7491 | 16.3 | 1 | 1 | Over | |
| 65 years or older | 114 | 9.8 | 17.5% | 9507 | 20.7 | 0 | 0 | Under | |
| Total | 1161 | 46 008 | |||||||
| Age cohort 2021 | Under 35 years old | 260 | 12.8 | 36.5% | 10 219 | 22.1 | 0 | 0 | Under |
| 35–44 years old | 493 | 24.2 | 43.2% | 10 043 | 21.8 | 0.99736 | 0.9968 | Over | |
| 45–54 years old | 520 | 25.6 | 41.2% | 8525 | 18.5 | 1 | 1 | Over | |
| 55–64 years old | 504 | 24.8 | 34.3% | 7503 | 16.3 | 1 | 1 | Over | |
| 65 years or older | 256 | 12.6 | 21.1% | 9882 | 21.4 | 0 | 0 | Under | |
| Total | 2033 | 46 172 | |||||||
*Only survey respondents with known gender or age cohort were included in the calculation of weighted results.
†Cumulative Distribution Function tests for hypergeometric and binomial distributions produce probabilities between 0 and 1. If the value is between 0.005 and 0.995, then the respondent group is representative of the overall population; if not, the group is over-represented or under-represented (statistically significant at the α=0.005 level).
Figure 1Overall levels of burnout reported by survey respondents (2020: n=1400; 2021: n=2638).
Adjusted weighted odds of high degree of burnout, by physician characteristics, 2020 and 2021
| Variable | Category | Reference group | 2020 | 2021 | ||||||
| OR | 95% CI | Sig | OR | 95% CI | Sig | |||||
| LB | UB | LB | UB | |||||||
| Gender | Female | Male | 0.904 | 0.864 | 0.946 | * | 1.093 | 1.047 | 1.141 | * |
| Age cohort | Under 35 years old | 35–44 years old | 0.514 | 0.473 | 0.560 | * | 1.242 | 1.142 | 1.350 | * |
| 45–54 years old | 1.212 | 1.131 | 1.300 | * | 0.840 | 0.788 | 0.896 | * | ||
| 55–64 years old | 0.679 | 0.620 | 0.745 | * | 0.490 | 0.450 | 0.533 | * | ||
| 65 years or older | 0.336 | 0.302 | 0.373 | * | 0.256 | 0.231 | 0.284 | * | ||
| Career stage | Medical student | Established physician | n/a | n/a | n/a | 0.303 | 0.263 | 0.349 | * | |
| Resident/fellow | 1.837 | 1.650 | 2.045 | * | 0.978 | 0.852 | 1.122 | |||
| Starting career physician | 1.147 | 1.050 | 1.252 | * | 0.529 | 0.486 | 0.575 | * | ||
| Late career physician | 1.589 | 1.464 | 1.725 | * | 1.452 | 1.341 | 1.572 | * | ||
| Retired physician | n/a | n/a | n/a | n/a | n/a | n/a | ||||
| Practice setting | Academic hospital | Community-based group practice | 1.148 | 1.072 | 1.230 | * | 1.010 | 0.946 | 1.078 | |
| Community hospital | 0.956 | 0.888 | 1.028 | 0.755 | 0.710 | 0.804 | * | |||
| Community-based interprofessional practice | 1.541 | 1.422 | 1.671 | * | 0.752 | 0.696 | 0.813 | * | ||
| Community-based solo practice | 1.785 | 1.669 | 1.909 | * | 0.931 | 0.876 | 0.989 | * | ||
| Practice location | Central Ontario | Greater Toronto Area | 1.088 | 1.004 | 1.178 | * | 1.068 | 0.993 | 1.148 | |
| Eastern Ontario | 1.122 | 1.059 | 1.189 | * | 0.854 | 0.807 | 0.904 | * | ||
| Northern Ontario | 1.281 | 1.160 | 1.416 | * | 1.024 | 0.940 | 1.116 | |||
| Western Ontario | 0.721 | 0.676 | 0.769 | * | 0.716 | 0.673 | 0.762 | * | ||
| Geographical setting | Remote area | Urban | n/a | n/a | n/a | n/a | n/a | n/a | ||
| Rural | 0.969 | 0.874 | 1.076 | 1.032 | 0.943 | 1.129 | ||||
| Semirural | 1.421 | 1.312 | 1.539 | * | 1.058 | 0.980 | 1.141 | |||
| Suburban | 1.223 | 1.153 | 1.298 | * | 1.028 | 0.974 | 1.086 | |||
n/a: results not reported for cells containing fewer than 30 respondents.
*=significant at α=0.05 level.
LB, lower bound; UB, upper bound.
Figure 2Top 10 ranked contributors to burnout as reported by participants in 2020 and 2021.
Figure 3Top 10 ranked solutions to burnout as reported by participants in 2020 and 2021. EMRs/EHR, Electronic Medical Records/Electronic Health Record.