From: How does burnout affect physician productivity? A systematic literature review
Author(s) | Number of sick leave days | Intent to continue practicing | Intent to change jobs | Work ability |
---|---|---|---|---|
Hoff et al. [23] | Years Intending to Remain a Hospitalist by Risk of Burnout | |||
No Risk of Burnout (n = 225) | ||||
< 4 years = 6.4% | ||||
4–10 years = 34.9% | ||||
> 10 years = 58.7% | ||||
At risk of burnout (n = 105) | ||||
< 4 years = 16.5% | ||||
4–10 years = 47.6% | ||||
> 10 years = 35.9% | ||||
Burned out (n = 51) | ||||
< 4 years = 44.0% | ||||
4–10 years = 24.0% | ||||
> 10 years = 22.0% | ||||
Ruitenburg et al. [21] | Insufficient Workability with High Burnout: | |||
Odds Ratio (95% CI) = 9.5 (3.0, 30.6) | ||||
p<0.001 | ||||
Siu et al. [14] | Median Sick Leave Days in the Last Year by Burnout [Interquartile range] | |||
High burnout = 1 [0, 3.0] | ||||
Non-high burnout = 0.25 [0, 2.0] | ||||
p = 0.127 | ||||
Soler et al. [22] | Sick Leave in the Last Year by Burnout Dimensions | Seriously Considered Changing Jobs at Least Once over Past Months by Burnout Dimensions | ||
High EE (95% CI): | High EE (95% CI): | |||
0 days = 37.9% (33.7, 42.3) | Thoughts of changing job = 66.4% (60.5, 71.8) | |||
1-2 days = 52.3% (41.2, 63.2) | p < 0.001 | |||
≥ 3 days = 50.2% (42.6, 57.7) | High DP: | |||
p < 0.001 | Thoughts of changing job = 47.1% (41.1, 53.2) | |||
High DP (95% CI): | p < 0.001 | |||
0 days = 31.3% (27.4, 35.6) | Low PA (95% CI): | |||
1-2 days = 41.5% (31.1, 52.8) | Thoughts of changing jobs = 42.3% (36.5, 48.4) | |||
≥ 3 days = 39.9% (32.7, 47.5) | p < 0.001 | |||
p < 0.01 | ||||
Low PA (95% CI): | ||||
0 days = 29.9% (26.0, 34.1) | ||||
1-2 days = 28.5% (19.5, 39.5) | ||||
≥ 3 days = 38.9% (31.8, 46.6) | ||||
p < 0.05 | ||||
Zhang & Feng [24] | Association between Burnout and Intent to Change Jobs | |||
EE Correlation: 0.229 | ||||
p < 0.001 | ||||
DP Correlation: 0.211 | ||||
p < 0.001 | ||||
Reduced PA Correlation: 0.114 | ||||
p < 0.001 |