Table 1.
Survey demographic data
| Age, mean (SD) | 25.34 (4.26) |
| Total participants | 475 |
| Survey Population Characteristics | N (%) |
| Gender | |
| Female | 300 (63.2) |
| Male | 166 (34.9) |
| Non-binary | 3 (0.6) |
| Prefer not to disclose | 5 (1.1) |
| Year of Medical Training | |
| 1st | 214 (45.1) |
| 2nd | 130 (27.4) |
| 3rd | 73 (15.4) |
| 4th | 48 (10.1) |
| M.D. MSc | 4 (0.8) |
| M.D. PhD | 5 (1.1) |
| What level of education did you achieve before beginning medical education? | |
| High School | 18 (3.8) |
| College Diploma | 33 (6.9) |
| Bachelor’s Degree | 287 (60.4) |
| Master’s Degree | 120 (25.3) |
| PhD or Doctorate | 13 (2.7) |
| Prefer not to disclose | 3 (0.6) |
| Do you have an immediate family member with an advanced degree (Master’s or Doctorate or similar)? | 273 (57.5) |
| Do you have a background in mathematics, statistics, or computer science? | 74 (15.6) |
| Do you consider yourself to be “tech-savvy”, or have a high degree of technological literacy? | 183 (38.5) |