Table 1 Descriptive analysis of injury intent, mechanism and severity in three different periods. Significance between indicated periods was determined using Chi square analysis
Variables | 2019 | Pre-lockdown | Lockdown Level 5 | p-value | |||||
|---|---|---|---|---|---|---|---|---|---|
|  |  |  |  |  |  |  | Lockdown – Pre-lockdown | Lockdown—2019 | Pre-lockdown—2019 |
|  | n = 4706 (%) | n = 4587 (%) | n = 1806 (%) |  |  |  | |||
Injury Intent | |||||||||
Intentional Injuries | 3004 | (64.1%) | 2914 | (63.6%) | 1140 | (63.4%) | 0,85 | 0,58 | 0,62 |
Unintentional Injuries | 1682 | (36.9%) | 1667 | (36.4%) | 659 | (36.6%) | |||
Injury mechanism | |||||||||
Accidental | 650 | (13.9%) | 617 | (13.5%) | 327 | (18.2%) |  < 0.05 |  < 0.05 | 0.16 |
Assault | 2648 | (56.5%) | 2589 | (56.5%) | 915 | (50.9%) | |||
Burns and Corrosives | 89 | (1.9%) | 63 | (1.4%) | 43 | (2.4%) | |||
Environmental | 132 | (2.8%) | 152 | (3.3%) | 104 | (5.8%) | |||
Self-Harm | 356 | (7.6%) | 325 | (7.1%) | 225 | (12.5%) | |||
Traffic | 811 | (17.3%) | 835 | (18.2%) | 185 | (10.3%) | |||
Triage | |||||||||
Blue | 53 | (1.2%) | 62 | (1.4%) | 23 | (1.3%) | 0.54 |  < 0.05 |  < 0.05 |
Mild (green & yellow) | 3445 | (74.9%) | 3450 | (76.9%) | 1338 | (75.7%) | |||
Severe (orange & red) | 1102 | (24.0%) | 974 | (21.7%) | 406 | (23.0%) | |||