| Literature DB >> 34367897 |
Scott H Mahoney1, Elmien Steyn1, Hendrik Lategan1.
Abstract
INTRODUCTION: Strategies to reduce the burden of trauma are not only a global priority, but also a South African public health priority due to a disproportionately large trauma burden. Identification of the contributors to preventable injuries would assist in guiding policy and prevention strategies at a local and international level. In response to SARS-nCOV-2 (COVID19), a national restrictive lockdown was implemented in South Africa with, amongst other restrictions, a complete ban on non-essential travel and alcohol sales. With the most intensive restrictions implemented between March to May 2020, this period offers an unprecedented opportunity for the assessment of social restrictions on possible effects of trauma burdens.Entities:
Keywords: COVID-19; Injury; Lockdown; Prevention; Trauma
Year: 2021 PMID: 34367897 PMCID: PMC8327491 DOI: 10.1016/j.afjem.2021.06.002
Source DB: PubMed Journal: Afr J Emerg Med ISSN: 2211-419X
Fig. 1Daily case volume at TBH Trauma Centre for the period March to May 2019 (blue) and 2020 (red). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Age distribution of patients treated in TBH trauma centre between April–May 2019 and 2020.
| Age category | Year grouping | Combined Total | ||
|---|---|---|---|---|
| 2019 | 2020 | |||
| 0–14 (children) | Count | 253 | 132 | 385 |
| % within Year grouping | 14,1% | 15,1% | 14,4% | |
| 15–24 (youth) | Count | 375 | 179 | 554 |
| % within Year grouping | 20,9% | 20,5% | 20,8% | |
| 25–64 (working age) | Count | 1082 | 525 | 1607 |
| % within Year grouping | 60,2% | 60,2% | 60,2% | |
| 65+ (older persons) | Count | 87 | 36 | 123 |
| % within Year grouping | 4,8% | 4,1% | 4,6% | |
| Total | Count | 1797 | 872 | 2669 |
| % within Year grouping | 100,0% | 100,0% | 100,0% | |
Sub-analyses of mechanism of injury for April–May 2019 and 2020.
| 2019 | 2020 | ||
|---|---|---|---|
| Assault - penetrating knife | Count | 416 | 102 |
| % within Year grouping | 23.1% | 11.7% | |
| Assault - penetrating GSW | Count | 206 | 133 |
| % within Year grouping | 11.5% | 15.3% | |
| Assault - blunt trauma | Count | 236 | 182 |
| % within Year grouping | 13.1% | 20.9% | |
| MVC | Count | 270 | 73 |
| % within Year grouping | 15.0% | 8.4% | |
| PVC | Count | 79 | 42 |
| % within Year grouping | 4.4% | 4.8% | |
| Accidental-fall | Count | 323 | 199 |
| % within Year grouping | 18.0% | 22.8% | |
| Accidental - penetrating trauma | Count | 18 | 24 |
| % within Year grouping | 1.0% | 2.8% | |
| Accidental - Blunt trauma | Count | 99 | 52 |
| % within Year grouping | 5.5% | 6.0% | |
| Burns | Count | 13 | 16 |
| % within Year grouping | 0.7% | 1.8% | |
| Dog Bite/envenomation | Count | 12 | 10 |
| % within Year grouping | 0.7% | 1.1% | |
| Unknown Mechanism of Injury | Count | 109 | 32 |
| % within Year grouping | 6.1% | 3.7% | |
| Self-harm | Count | 9 | 7 |
| % within Year grouping | 0.5% | 0.8% | |
| Train incident | Count | 7 | 0 |
| % within Year grouping | 0.4% | 0.0% | |
Sub-analyses of causation of injury for 2019 and 2020.
| Causation of Injury | Year grouping | Total | ||
|---|---|---|---|---|
| 2019 | 2020 | |||
| Intentional | Count | 858 | 417 | 1275 |
| % within Year grouping | 47.7% | 47.8% | 47.8% | |
| Accidental | Count | 830 | 423 | 1253 |
| % within Year grouping | 46.2% | 48.5% | 46.9% | |
Cross-tabulation of categorised day of week to causation of harm.
| Categorised days of the week | Intentional | Accidental | |
|---|---|---|---|
| Monday to Friday | Count | 723 | 843 |
| % within Days of week Mon-Fri & Sat-Sun | 46.2% | 53.8% | |
| Saturday to Sunday | Count | 552 | 410 |
| % within Days of week Mon-Fri & Sat-Sun | 57.4% | 42.6% | |