Weighted logistic regression models of associations of high burnout, according to practice type
| . | Academic practice (n = 151) adjusted OR (95% CI) . | Community practice (n = 260) adjusted OR (95% CI) . |
|---|---|---|
| Work hr per wk | ||
| High work hr (top quartile) | 1.91 (0.24-15.22) | 2.37 (0.52-10.71) |
| High work at home hr (top quartile) | 0.50 (0.11-2.26) | 1.21 (0.45-3.22) |
| Calls per yr | ||
| High weeknight call (top quartile) | 2.34 (0.24-22.79) | 0.45 (0.11-1.80) |
| High weekend call (top quartile) | 3.70 (0.28-49.53) | 0.86 (0.25-3.04) |
| Often work with APPs | 1.21 (0.18-8.12) | 0.28∗ (0.12-0.65) |
| Use of e-consults and/or telemedicine tools | 4.43 (0.16-122.84) | 1.74 (0.72-4.23) |
| Mentoring of students or trainees | ||
| Any mentoring | 1.34 (0.03-53.39) | 0.78 (0.32-1.90) |
| Research | ||
| Any research | 0.14 (0.01-2.02) | 0.74 (0.30-1.82) |
| Compensation models | ||
| RVU-only | 11.09† (1.73-71.12) | 3.00† (1.14-7.90) |
| RVU + salary | 0.51 (0.13-2.11) | 1.43 (0.45-4.50) |
| Salary-only + other (reference) | — | — |
| Sex | ||
| Female | 6.84∗ (1.79-26.15) | 2.07 (0.84-5.10) |
| Age, yr | ||
| ≤40 | 0.39 (0.03-4.62) | 0.10† (0.01-0.69) |
| 41-55 (reference) | — | — |
| ≥56 | 0.91 (0.09-9.20) | 0.62 (0.25-1.55) |
| Yr in current job | ||
| ≥10 | 2.32 (0.20-27.38) | 1.27 (0.51-3.18) |
| Race/ethnicity | ||
| Underrepresented in medicine | 10.70 (0.51-226.46) | 1.27 (0.23-6.95) |
| Clinical focus | ||
| Benign hematology | 2.46 (0.14-42.85) | 0.43 (0.03-0.48) |
| Malignant hematology | 1.13 (0.06-20.75) | 2.14 (0.27-16.84) |
| Solid tumor oncology | 4.44 (0.27-72.90] | 1.66 (0.70-3.94) |
| Combination or other (reference) | — | — |
| . | Academic practice (n = 151) adjusted OR (95% CI) . | Community practice (n = 260) adjusted OR (95% CI) . |
|---|---|---|
| Work hr per wk | ||
| High work hr (top quartile) | 1.91 (0.24-15.22) | 2.37 (0.52-10.71) |
| High work at home hr (top quartile) | 0.50 (0.11-2.26) | 1.21 (0.45-3.22) |
| Calls per yr | ||
| High weeknight call (top quartile) | 2.34 (0.24-22.79) | 0.45 (0.11-1.80) |
| High weekend call (top quartile) | 3.70 (0.28-49.53) | 0.86 (0.25-3.04) |
| Often work with APPs | 1.21 (0.18-8.12) | 0.28∗ (0.12-0.65) |
| Use of e-consults and/or telemedicine tools | 4.43 (0.16-122.84) | 1.74 (0.72-4.23) |
| Mentoring of students or trainees | ||
| Any mentoring | 1.34 (0.03-53.39) | 0.78 (0.32-1.90) |
| Research | ||
| Any research | 0.14 (0.01-2.02) | 0.74 (0.30-1.82) |
| Compensation models | ||
| RVU-only | 11.09† (1.73-71.12) | 3.00† (1.14-7.90) |
| RVU + salary | 0.51 (0.13-2.11) | 1.43 (0.45-4.50) |
| Salary-only + other (reference) | — | — |
| Sex | ||
| Female | 6.84∗ (1.79-26.15) | 2.07 (0.84-5.10) |
| Age, yr | ||
| ≤40 | 0.39 (0.03-4.62) | 0.10† (0.01-0.69) |
| 41-55 (reference) | — | — |
| ≥56 | 0.91 (0.09-9.20) | 0.62 (0.25-1.55) |
| Yr in current job | ||
| ≥10 | 2.32 (0.20-27.38) | 1.27 (0.51-3.18) |
| Race/ethnicity | ||
| Underrepresented in medicine | 10.70 (0.51-226.46) | 1.27 (0.23-6.95) |
| Clinical focus | ||
| Benign hematology | 2.46 (0.14-42.85) | 0.43 (0.03-0.48) |
| Malignant hematology | 1.13 (0.06-20.75) | 2.14 (0.27-16.84) |
| Solid tumor oncology | 4.44 (0.27-72.90] | 1.66 (0.70-3.94) |
| Combination or other (reference) | — | — |