Table 1.
STAR participant characteristics & demographic information by participant category.
| INTERNS (n = 38) | US-BASED FELLOWS (n = 17) | LMIC-BASED FELLOWS (n = 19) | TOTAL (N = 74) | |
|---|---|---|---|---|
| Gender | ||||
| Male | 6 (15.8%) | 7 (41.2%) | 15 (79.0%) | 28 (37.8%) |
| Female | 32 (84.2%) | 10 (58.8%) | 4 (21.0%) | 46 (62.2%) |
| Degree Categories | ||||
| Bachelor | 6 (15.8%) | 1 (5.9%) | 2 (10.5%) | 9 (12.2%) |
| Master of Public/Global Health | 28 (73.7%) | 3 (17.6%) | 3 (15.8%) | 34 (45.9%) |
| Master of Education | 0 (0.0%) | 1 (5.9%) | 0 (0.0%) | 1 (1.3%) |
| PhD | 0 (0.0%) | 4 (23.5%) | 0 (0.0%) | 4 (5.4%) |
| Medical Degree | 1 (2.6%) | 5 (29.4%) | 7 (36.8%) | 13 (17.6%) |
| Miscellaneous | 3 (7.9%) | 3 (17.6%) | 6 (31.6%) | 12 (16.2%) |
| Unknown | 0 (0.0%) | 0 (0.0%) | 1 (5.3%) | 1 (1.3%) |
| Professional Experience | ||||
| <10 years | 37 (97.4%) | 4 (23.5%) | 3 (15.8%) | 44 (59.5%) |
| ≥10 years | 1 (2.6%) | 13 (76.5%) | 16 (84.2%) | 30 (40.5%) |
| Previous Development or Aid Experience | ||||
| None | 21 (55.3%) | 1 (5.9%) | 2 (10.5%) | 24 (32.4%) |
| <5 years | 14 (36.8%) | 3 (17.6%) | 3 (15.8%) | 20 (27.0%) |
| ≥5 years | 3 (7.9%) | 13 (76.5%) | 12 (63.2%) | 28 (37.8%) |
| Unknown | 0 (0.0%) | 0 (0.0%) | 2 (10.5%) | 2 (2.7%) |
| Optional Skill Competencies* | ||||
| Project Management | 3 (7.9%) | 6 (35.3%) | 6 (31.6%) | 15 (20.3%) |
| Health Economics | 1 (2.6%) | 0 (0.0%) | 2 (10.5%) | 3 (4.0%) |
| BCC^ | 7 (18.4%) | 2 (11.8%) | 2 (10.5%) | 11 (14.9%) |
| Data Anal. & Biostat. | 10 (26.3%) | 4 (23.5%) | 2 (10.5%) | 16 (21.6%) |
| Epidemiology | 7 (18.4%) | 0 (0.0%) | 2 (10.5%) | 9 (12.2%) |
| Health Policy | 6 (15.8%) | 2 (11.8%) | 2 (10.5%) | 10 (13.5%) |
| Data Sci. & Inform. | 3 (7.9%) | 1 (5.9%) | 3 (15.8%) | 7 (9.5%) |
| Diss. & Implement. Sci. | 3 (7.9%) | 4 (23.5%) | 4 (21.0%) | 11 (14.9%) |
* STAR participants were able to select more than one competency.
^ BCC = Behavior Change & Communication. Data Anal. & Biostat. = Data Analysis & Biostatistics. Data Sci & Inform. = Data Science & Informatics. Diss. & Implement. Sci. = Dissemination & Implementation Science.