Weighted logistic regression models of associations with overall career dissatisfaction, 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) | 3.00 (0.76-11.79) | 1.29 (0.29-5.74) |
High work at home hr (top quartile) | 0.86 (0.23-3.27) | 2.98∗ (1.20-7.44) |
Calls per yr | ||
High weeknight call (top quartile) | 0.62 (0.07-5.99) | 0.67 (0.21-2.12) |
High weekend call (top quartile) | 3.03 (0.69-13.41) | 0.82 (0.27-2.54) |
Often work with APPs | 1.31 (0.34-5.04) | 0.63 (0.27-1.47) |
Use of e-consults and/or telemedicine tools | 1.44 (0.31-6.62) | 0.95 (0.42-2.17) |
Mentoring of students or trainees | ||
Any mentoring | 3.20 (0.05-202.40) | 0.95 (0.39-2.29) |
Research | ||
Any research | 0.49 (0.06-4.19) | 0.77 (0.31-1.96) |
Compensation models | ||
RVU-only | 10.00∗ (1.65-60.69) | 0.92 (0.37-2.33) |
RVU + salary | 0.32 (0.08-1.27) | 1.35 (0.45-4.03) |
Salary-only + other (reference) | — | — |
Sex | ||
Female | 0.87 (0.26-2.89) | 0.99 (0.40-2.44) |
Age, yr | ||
≤40 | 2.93 (0.50-17.09) | 0.37 (0.08-1.63) |
41-55 (reference) | — | — |
≥56 | 1.61 (0.26-9.81) | 0.74 (0.29-1.88) |
Yr in current job | ||
≥10 | 2.41 (0.35-16.78) | 2.14 (0.78-5.90) |
Race/ethnicity | ||
Underrepresented in medicine | 1.74 (0.05-59.34) | 0.75 (0.15-3.87) |
Clinical focus | ||
Benign hematology | 0.31 (0.03-3.20) | 1.47 (0.28-7.83) |
Malignant hematology | 0.19 (0.02-1.98) | 0.95 (0.13-6.84) |
Solid tumor oncology | 0.80 (0.08-7.83) | 0.97 (0.42-2.23) |
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) | 3.00 (0.76-11.79) | 1.29 (0.29-5.74) |
High work at home hr (top quartile) | 0.86 (0.23-3.27) | 2.98∗ (1.20-7.44) |
Calls per yr | ||
High weeknight call (top quartile) | 0.62 (0.07-5.99) | 0.67 (0.21-2.12) |
High weekend call (top quartile) | 3.03 (0.69-13.41) | 0.82 (0.27-2.54) |
Often work with APPs | 1.31 (0.34-5.04) | 0.63 (0.27-1.47) |
Use of e-consults and/or telemedicine tools | 1.44 (0.31-6.62) | 0.95 (0.42-2.17) |
Mentoring of students or trainees | ||
Any mentoring | 3.20 (0.05-202.40) | 0.95 (0.39-2.29) |
Research | ||
Any research | 0.49 (0.06-4.19) | 0.77 (0.31-1.96) |
Compensation models | ||
RVU-only | 10.00∗ (1.65-60.69) | 0.92 (0.37-2.33) |
RVU + salary | 0.32 (0.08-1.27) | 1.35 (0.45-4.03) |
Salary-only + other (reference) | — | — |
Sex | ||
Female | 0.87 (0.26-2.89) | 0.99 (0.40-2.44) |
Age, yr | ||
≤40 | 2.93 (0.50-17.09) | 0.37 (0.08-1.63) |
41-55 (reference) | — | — |
≥56 | 1.61 (0.26-9.81) | 0.74 (0.29-1.88) |
Yr in current job | ||
≥10 | 2.41 (0.35-16.78) | 2.14 (0.78-5.90) |
Race/ethnicity | ||
Underrepresented in medicine | 1.74 (0.05-59.34) | 0.75 (0.15-3.87) |
Clinical focus | ||
Benign hematology | 0.31 (0.03-3.20) | 1.47 (0.28-7.83) |
Malignant hematology | 0.19 (0.02-1.98) | 0.95 (0.13-6.84) |
Solid tumor oncology | 0.80 (0.08-7.83) | 0.97 (0.42-2.23) |
Combination or other (reference) | — | — |
P < .05.