Table 2.
Multivariate logistic regression models for burnout
Parameter | Level | Odds Ratio | 95% Confidence Interval | Overall P Value |
---|---|---|---|---|
Age | <66 y | .0091 | ||
≥66 y | 0.175 | 0.038-0.811 | ||
Take call | None | .0215 | ||
Yes, but no weekends | 1.039 | 0.274-3.939 | ||
Yes, including weekends | 2.527 | 0.910-7.019 | ||
Other | 0.398 | 0.038-4.145 | ||
Last physical | <1 y | .8809 | ||
1 to >5 y | 1.067 | 0.614-1.855 | ||
Never | 1.306 | 0.452-3.771 |
Table 2 summarizes results from multivariate logistic regression model 1 for the probability that a radiologist experiences burnout (see text for definition). This model categorizes “take call” into four categories and presents the odds ratio, 95% confidence interval, and P value for each of the parameters of interest. Age and taking calls were significantly associated with burnout. Younger radiologists were more likely to experience burnout. Radiologists who took calls were more likely to be burned out than those who did not.