Table 3.
Post-match factors associated with matching into a primary care specialty. Dependent variable is matching into a primary care specialty. Primary care is comprised of internal medicine, pediatrics, and family medicine specialties. Adjusted odds ratios are presented, with standard errors in parentheses. Lifestyle and debt responses taken from match survey. Additional controls include whether individuals had a primary care mentor in first 2 years, performed primary care research in first 2 years, the subjective importance of academic vs. private practice opportunities and intellectual stimulation, none of which had significant associations. Pseudo R2 is McFadden’s. *** p < 0.01, ** p < 0.05, * p < 0.1 for odds ratio different from 1
| Pooled | Men | Women | Pooled | Men | Women | |
|---|---|---|---|---|---|---|
| Female | 1.76* (0.59) |
- | - | 1.61 (0.62) |
- | - |
| Ethnicity is White | 0.66 (0.27) |
0.65 (0.39) |
0.59 (0.35) |
0.57 (0.27) |
0.57 (0.41) |
0.51 (0.38) |
| Age at Matriculation | 1.18** (0.10) |
1.03 (0.12) |
1.46** (0.25) |
1.11 (0.11) |
0.88 (0.15) |
1.59** (0.36) |
| Family Member Practices Primary Care | 4.05** (2.83) |
2.62 (2.41) |
7.22 (8.94) |
5.45** (4.34) |
5.71 (6.87) |
8.18 (10.93) |
| Married in Medical School | 1.10 (0.52) |
2.08 (1.41) |
0.93 (0.65) |
1.26 (0.69) |
4.03 (3.52) |
0.85 (0.78) |
| Had Children in Medical School | 0.22* (0.20) |
0.30 (0.34) |
0.26 (0.46) |
0.22 (0.23) |
0.15 (0.20) |
1.62 (3.23) |
| Primary Care Mentor in 1st 2 Years | 1.45 (0.59) |
0.67 (0.50) |
2.23 (1.17) |
1.30 (0.59) |
0.71 (0.64) |
2.4 (1.46) |
| Conducted Primary Care Research in Medical School | 0.83 (0.29) |
1.54 (0.78) |
0.54 (0.28) |
0.93 (0.36) |
2.61 (1.71) |
0.45 (0.29) |
| Amount of time in patient contact |
- | - | - | 0.99 (0.16) |
0.83 (0.21) |
1.09 (0.29) |
| Potential Salary | - | - | - | 0.73 (0.15) |
0.50** (0.16) |
0.95 (0.34) |
| Quality of Life | - | - | - | 0.65** (0.12) |
0.55* (0.18) |
0.57* (0.18) |
| Responsibilities at home | - | - | - | 1.44* (0.29) |
1.55 (0.55) |
1.47 (0.46) |
| Specialty status/reputation |
- | - | - | 1.37 (0.27) |
1.50 (0.46) |
1.50 (0.52) |
| Spouse/partner’s career | - | - | - | 1.29 (0.21) |
1.75** (0.50) |
1.35 (0.34) |
| Technical skills necessary | - | - | - | 0.54*** (0.09) |
0.42*** (0.12) |
0.54** (0.15) |
| Debt from Medical Education | 1.53 (0.70) |
1.86 (1.20) |
1.17 (0.82) |
2.02 (1.03) |
2.62 (2.10) |
1.58 (1.30) |
| Debt Influences Specialty Preference | 0.29** (0.16) |
0.24** (0.17) |
0.39 (0.34) |
0.33* (0.20) |
0.34 (0.29) |
0.32 (0.34) |
| Constant | 0.01** (0.02) |
0.15 (0.42) |
0.00** (0.00) |
0.18 (0.49) |
97.07 (418.00) |
0.00** (0.00) |
| Observations | 197 | 111 | 86 | 189 | 108 | 81 |
| Pseudo R2 | 0.08 | 0.08 | 0.11 | 0.19 | 0.29 | 0.21 |