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. 2021 Jul 12;87(1):65. doi: 10.5334/aogh.3260

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.