Table 1 Characteristics of the dataset according to surgical specialty
From: Factors contributing to preventing operating room “never events”: a machine learning analysis
Observations n = 9234 | Never Events n = 101 | ||||||
|---|---|---|---|---|---|---|---|
Phase Specialty | *Pre-procedure (n = 1,539) (missing data on 760 cases) | Sign in (n = 1,504) | Time out (n = 1,498) | First count (n = 1,518) | Second count (n = 1,501) | Third count (n = 1,498) | |
Urology | 72 | 156 | 148 | 124 | 118 | 124 | 7 (6.93%) |
Orthopedics | 185 | 331 | 324 | 341 | 302 | 326 | 16 (15.84%) |
Ear, nose, and throat | 64 | 105 | 105 | 99 | 102 | 93 | 3 (2.97%) |
Gynecology | 63 | 143 | 139 | 149 | 153 | 153 | 17 (16.83%) |
General surgery | 313 | 537 | 558 | 576 | 623 | 604 | 19 (18.81%) |
Plastic surgery | 22 | 39 | 37 | 40 | 36 | 42 | 2 (1.98%) |
Vascular surgery | 18 | 45 | 42 | 45 | 42 | 43 | 5 (4.95%) |
Neurosurgery | 7 | 25 | 19 | 22 | 19 | 19 | 5 (4.95%) |
Dermatology | 7 | 16 | 26 | 21 | 22 | 24 | 2 (1.98%) |
Ophthalmology | 12 | 41 | 34 | 33 | 19 | 18 | 8 (7.92%) |
Maxillofacial | 3 | 12 | 10 | 8 | 10 | 11 | 2 (1.98%) |
Cardiac and Cardiothoracic | 13 | 54 | 56 | 60 | 55 | 41 | 15 (14.85%) |