Numbers of personnel involved in detecting and making the reported errors
| Error made by | Error detected by | ||||||||||
| Pharmacist | Technician | ATO | Student technician | Pre Reg | Nurse | Doctor | Patient | Other | Missing | Total | |
| Pharmacist | 305 (36.3%) | 210 (25.0%) | 62 (7.4%) | 7 (0.8%) | 1 (0.1%) | 150 (17.8%) | 11 (1.3%) | 7 (0.8%) | 38 (4.5%) | 50 (5.9%) | 841 |
| Technician | 1378 (48.7%) | 1154 (40.8%) | 97 (3.4%) | 12 (0.4%) | 7 (0.2%) | 111 (3.9%) | 5 (0.2%) | 9 (0.3%) | 47 (1.7%) | 9 (0.3%) | 2829 |
| ATO | 590 (41.9%) | 626 (44.4%) | 125 (8.9%) | 6 (0.4%) | 5 (0.4%) | 33 (2.3%) | 1 (0.1%) | 1 (0.1%) | 21 (1.5%) | 1 (0.1%) | 1409 |
| Student technician | 82 (49.4%) | 70 (42.2%) | 9 (5.4%) | 3 (1.8%) | 0 | 2 (1.2%) | 0 | 0 | 0 | 0 | 166 |
| Pre Reg | 80 (63.0%) | 40 (31.5%) | 3 (2.4%) | 0 | 2 (1.6%) | 1 (0.8%) | 0 | 1 (0.8%) | 0 | 0 | 127 |
| Nurse | 3 (25.0%) | 2 (16.7%) | 0 | 0 | 1 (8.3%) | 1 (8.3%) | 1 (8.3%) | 0 | 0 | 4 (33.3%) | 12 |
| Doctor | 5 (45.5%) | 5 (45.5%) | 0 | 0 | 0 | 1 (9.1%) | 0 | 0 | 0 | 0 | 11 |
| Patient | 1 (50.0%) | 1 (50.0%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| Other | 8 (14.3%) | 31 (55.4%) | 12 (21.4%) | 1 (1.8%) | 1 (1.8%) | 1 (1.8%) | 0 | 0 | 0 | 2 (3.6%) | 56 |
| Missing | 50 (67.6%) | 9 (12.2%) | 1 (1.4%) | 0 | 0 | 4 (5.4%) | 0 | 0 | 2 (2.7%) | 8 (10.8%) | 74 |
| Total | 2502 (45.3%) | 2148 (38.9%) | 309 (5.6%) | 29 (0.5%) | 17 (0.3%) | 304 (5.5%) | 18 (0.3%) | 18 (0.3%) | 108 (2.0%) | 74 (1.3%) | 5527 |