Table 2.
Participant demographic survey responses.
| HSPH (n = 17) | UTSPH (n = 12) | Total (n = 29) | |
|---|---|---|---|
| n | n | n(%) | |
| Academic departments | |||
| Health Management and Policy | 7 | 4 | 11 (38) |
| Health Promotion, Behavioral Science, Global Health | 3 | 6 | 9 (31) |
| Epidemiology, Quantitative methods | 2 | 2 | 4 (14) |
| Interdisciplinary* | 5 | – | 5 (17) |
| Programs | |||
| MPH | 10 | 8 | 18 (62) |
| DrPH | 5 | 2 | 7 (24) |
| MS/SM | 2 | – | 2 (7) |
| PhD | – | 2 | 2 (7) |
| Year in program | |||
| 1 | 11 | 1 | 12 (41) |
| 2 | 6 | 5 | 11 (38) |
| 3+ | – | 6 | 6 (21) |
| International student | |||
| Yes | 9 | 3 | 12 (41) |
| No | 8 | 9 | 17 (59) |
| Gender | |||
| Female | 5 | 10 | 15 (52) |
| Male | 12 | 2 | 14 (48) |
| Age range | |||
| 21–30 | 11 | 4 | 15 (52) |
| 31–40 | 4 | 4 | 8 (2) |
| 41+ | 2 | 4 | 6 (21) |
| First academic entrepreneurial course?∧ | |||
| Yes | 9 | 11 | 20 (71) |
| No | 7 | 1 | 8 (29) |
| Expected future work setting+ | |||
| NGO/non-profit/foundation | 9 | 11 | 20 (69) |
| Clinical/health care (i.e., hospital, community clinic) | 8 | 10 | 18 (62) |
| Startup | 10 | 5 | 15 (52) |
| Industry (i.e., large for-profit-corporation) | 11 | 3 | 14 (48) |
| Government (i.e., health department) | 3 | 9 | 12 (41) |
| Technology sector (i.e., Google) | 11 | 1 | 12 (41) |
| Academics (i.e., research, teaching) | 3 | 5 | 8 (28) |
| Entrepreneurial orientation** | % | % | % |
| Risk | 80 | 61 | 71 |
| Innovation | 73 | 64 | 69 |
| Proactivity | 77 | 89 | 82 |
*
HSPH DrPH students are not affiliated with an academic department.
∧
1 student omitted a response to this survey question.
+
Survey question, “How likely are you to work in the following setting?” was answered on a 5-point Likert scale. Above data represents those that responded “somewhat likely” or “very likely.” Categories are non-exclusive.
**
Percent agreement on 5-point Likert scale with response ratings from strongly disagree to strongly agree.