Table 1 Characteristics of the study participants (N = 399)
Parameters | Total, n (%) |
|---|---|
Gender | |
Female | 222 (55.6%) |
Male | 177 (44.4%) |
Age (years) | |
22–26 | 84 (21.1%) |
27–35 | 215 (53.9%) |
36–45 | 85 (21.3%) |
> 45 | 15 (3.8%) |
Years of experience | |
< 2 | 49 (12.3%) |
2–5 | 155 (38.8%) |
6–10 | 141 (35.3%) |
> 10 | 54 (13.5%) |
Educational level | |
BPharm (Bachelor in pharmacy) | 371 (93.0%) |
PharmD (Doctor in pharmacy) | 7 (1.8%) |
Graduate (Master or PhD) | 12 (3.0%) |
Diploma | 9 (2.3%) |
Type of pharmacy working in | |
Chain | 278 (69.7%) |
Independent | 121 (29.3%) |
Average number of patients per day | |
< 10 | 19 (4.8%) |
10–29 | 54 (13.5%) |
30–49 | 149 (37.3%) |
≥ 50 | 177 (44.4%) |
Average prescriptions per day | |
< 10 | 122 (30.6%) |
10–29 | 146 (36.6%) |
30–49 | 44 (11.0%) |
≥ 50 | 87 (21.8%) |
Work hours per week | |
40–50 | 347 (87.0%) |
< 40 | 21 (5.3%) |
> 50 | 31 (7.8%) |
Average time spent with each patient (minute) | |
< 2 | 3 (0.8%) |
2–5 | 67 (16.8%) |
> 5 | 329 (82.5%) |
Workload in the pharmacy | |
Very low | 10 (2.5%) |
Low | 20 (5.0%) |
Moderate | 267 (66.9%) |
High | 74 (18.5%) |
Very high | 28 (7.0%) |
Counseled a customer about pharmacogenetics test results before | |
Yes | 151 (37.8%) |
No | 248 (62.2%) |
Received a formal education about pharmacogenetics | |
Yes | 258 (64.7%) |
No | 141 (35.3%) |
Attended training workshops on pharmacogenetics | |
Yes | 144 (36.1%) |
No | 255 (63.9%) |