Table 5.
Multivariate binary logistic regression analysis of 254 medical students.
| Factor | OR | 95% CI | p-value | Bootstrap p-value |
|---|---|---|---|---|
| Would not choose to pursue a career in medicine again due to COVID-19 | 3.40 | 1.38 – 8.40 | 0.0075* | 0.010* |
| Uncertainty about future earnings due to COVID-19 | 1.09 | 0.44 – 2.65 | 0.85 | 0.83 |
| Had second thoughts about choosing to pursue neurosurgery due to COVID-19 | 3.47 | 1.57 – 7.98 | 0.0025* | 0.0040* |
| Program region | ||||
| Northeast | Reference | – | – | – |
| Northwest/Midwest | 0.41 | 0.13 – 1.19 | 0.11 | 0.11 |
| Southeast | 0.32 | 0.11 – 0.86 | 0.027* | 0.024* |
| Southwest | 0.30 | 0.086 – 0.93 | 0.046* | 0.049* |
| Worsened clinical performance due to COVID-19 | 2.71 | 1.16 – 6.68 | 0.025* | 0.017* |
CI: Confidence interval; OR: odds ratio.
†Reference group consisted of students from programs located in the Northeast U.S. Diagnosis of COVID-19 among medical student colleagues and alteration of vacation or elective rotation schedule due to COVID- 19 did not predict outcome. The AUC = 0.799 (95% CI 0.728–0.869).
*
Statistical significance (p < 0.05).