Table 5 Logistic Regression on Career Plan after Residency: Academia

MD/PhD

0.691 (0.145–3.286)

4.302 (1.389–13.326)

n/a

MD-Research Focus

1.000 (reference)

n/a

0.408 (0.170–0.977)

MD-Non Research

n/a

1.000 (reference)

1.000 (reference)

Female^a

0.807 (0.274–2.373)

1.691 (1.019–2.808)

1.744 (1.073–2.837)

White^b

2.762 (0.895–8.529)

1.632 (0.981–2.713)

1.373 (0.841–2.241)

Hispanic^c

2.069 (0.196–21.790)

0.372 (0.162–0.854)

0.472 (0.216–1.030)

Paid primarily through loans

0.132 (0.028–0.634)

2.050 (1.119–3.754)

1.610 (0.922–2.813)

Sector: private practice

0.291 (0.086–0.984)

0.632 (0.358–1.117)

0.664 (0.387–1.139)

Intention: Education

6.335 (1.888–21.254)

6.812 (4.094–11.334)

7.347 (4.535–11.904)

Intend: Clinical Research

3.035 (0.901–10.224)

3.281 (1.933–5.567)

2.911 (1.774–4.774)

Intend: Translational Research

6.055 (1.598–22.941)

2.165 (1.031–4.544)

2.195 (1.040–4.631)

Spec: Internal Medicine

5.021 (1.371–18.3920)

2.386 (1.388–4.104)

2.058 (1.221–3.473)

Spec: Surgery

2.925 (0.140–61.049)

2.664(1.053–6.739)

2.338 (0.984–5.555)

Predict eldercare after res

12.476 (2.653–58.907)

2.710 (1.641–4.475)

2.430 (1.490–3.963)

Obs: Balance clin, res, ed

2.684 (0.892–8.073)

4.401 (2.400–8.070)

3.749 (2.114–6.648)

Desire 50:50 research:clinical

4.691 (1.319–16.686)

1.372 (0.243–7.760)

7.695 (2.053–28.839)

Career Factor: Community Svc

0.515 (0.131–2.029)

0.593 (0.336–1.047)

0.540 (0.316–0.923)

Can identify mentor

3.204 (1.033–9.936)

1.438 (0.585–2.411)

1.836 (1.123–3.000)