Table 1. Characteristics of respondents.
| Characteristic (n=200*) | Number (Percent) |
|---|---|
| Age, mean (standard deviation, range) | 47.5 (8.7, 26-74) |
| Female | 58 (29%) |
| Race | |
| Asian | 36 (18%) |
| Black or African American | 1 (1%) |
| White | 152 (77%) |
| Other | 9 (5%) |
| Hispanic or Latino/a | 5 (3%) |
| Prior service on an institutional review board or equivalent | 59 (30%) |
| Experience interacting directly with human subjects | 132 (66%) |
| Work setting | |
| University or academic medical center | 164 (83%) |
| Pharmaceutical or biotechnology | 13 (7%) |
| Government | 13 (7%) |
| Other | 8 (4%) |
| Academic rank among those in academic settings | |
| Professor | 88 (54%) |
| Associate professor | 33 (20%) |
| Assistant professor | 27 (16%) |
| Other | 16 (10%) |
| Degree† | |
| MD | 98 (49%) |
| PhD | 140 (70%) |
| MPH | 9 (5%) |
| Other | 8 (4%) |
| Location of employment | |
| United States | 95 (48%) |
| Canada | 6 (3%) |
| Europe | 71 (36%) |
| Asia | 22 (11%) |
| Other | 5 (3%) |
| Role in study† | |
| Overall study design | 184 (92%) |
| Participant recruitment or consent | 47 (24%) |
| Laboratory analysis | 67 (34%) |
| Collection of phenotypic information | 68 (34%) |
| Bioinformatic or statistical analysis | 128 (64%) |
| Other | 22 (11%) |
*
Denominators may not equal 200 due to missing data for individual questions
†
Total may exceed 100%, as respondents could choose more than one category