Table 3.
Categories |
|||||||
---|---|---|---|---|---|---|---|
Reasons | Sociodemographic | Housing/employment | Medical history | Health status | Vaccine acceptance | Testing | |
(N = 35) | (N = 36) | (N = 25) | (N = 23) | (N = 21) | (N = 23) | ||
Not applicable to project/protocol | 16 (46%) | 16 (44%) | 10 (40%) | 10 (43%) | 10 (48%) | 11 (48%) | |
Not applicable to study population | 15 (43%) | 14 (39%) | 5 (20%) | 5 (22%) | 1 (5%) | 2 (9%) | |
Negative impact on enrollment | 14 (40%) | 6 (17%) | 3 (12%) | 4 (17%) | 1 (5%) | 2 (9%) | |
Survey is too lengthy | 10 (29%) | 11 (31%) | 9 (36%) | 12 (52%) | 9 (43%) | 11 (48%) | |
Negative impact on community relationship | 12 (34%) | 6 (17%) | 5 (20%) | 5 (22%) | 2 (10%) | 2 (9%) | |
Community Advisory Board advice | 11 (31%) | 11 (31%) | 4 (16%) | 4 (17%) | 3 (14%) | 3 (13%) | |
Data sovereignty (tribal nations) | 4 (11%) | 5 (14%) | 3 (12%) | 1 (4%) | 2 (10%) | 2 (9%) |
Notes: The denominator for each category varies because the number of exceptions requested in that category did not equal the total of 69 awardees. Also, within each request for exception, awardees could choose more than 1 category of reason for exception (eg, they could say “not applicable to study population” and “negative impact on community relationship”). Percentages are rounded to the nearest whole number.