| Literature DB >> 31073509 |
Ali A Zaidi1, Julia Dixon2, Kathryn Lupez3, Shaheem De Vries4, Lee A Wallis5,4, Adit Ginde2, Nee-Kofi Mould-Millman2,5.
Abstract
BACKGROUND: Sub-Saharan Africa bears a disproportionate burden of mortality from trauma. District hospitals, although not trauma centres, play a critical role in the trauma care system by serving as frontline hospitals. However, the clinical characteristics of patients receiving trauma care in African district hospitals remains under-described and is a barrier to trauma care system development. We aim to describe the burden of trauma at district hospitals by analysing trauma patients at a prototypical district hospital emergency centre.Entities:
Keywords: Emergency medical services; Emergency medicine; Non-accidental injury; Trauma system; Unintentional injury
Year: 2019 PMID: 31073509 PMCID: PMC6497867 DOI: 10.1016/j.afjem.2019.01.007
Source DB: PubMed Journal: Afr J Emerg Med ISSN: 2211-419X
Frequency table of study population.
| Population Characteristics | |||
|---|---|---|---|
| % of all patients (N = 3299) | % of Trauma Patients (N = 565) | ||
| Sex | Male | 48.2 | 61.6 |
| Female | 51.0 | 37.3 | |
| Missing Data | 0.8 | 1.1 | |
| Age | <18 | 23.5 | 22.5 |
| 18–34 | 31.5 | 46.7 | |
| 35–59 | 32.0 | 24.4 | |
| >60 | 11.1 | 4.6 | |
| Missing Data | 1.9 | 1.8 | |
| SATS Score | Green | 16.5 | 13.3 |
| Yellow | 43.0 | 65.1 | |
| Orange | 20.3 | 11.3 | |
| Red | 0.5 | 1.1 | |
| Blue | 0.3 | 0.0 | |
| Missing Data | 19.4 | 9.2 | |
| Disposition | Discharged | 72.4 | 80.9 |
| Admitted | 5.1 | 2.7 | |
| Transferred | 1.9 | 3.5 | |
| Abscond | 11.6 | 6.0 | |
| Death | 0.5 | 0.0 | |
| Missing Data | 8.5 | 6.9 | |
Frequency of sex, age, South African Triage Scale scores and outcomes in intentional and unintentional trauma cases.
| Intentional | Unintentional | Chi Square Test | ||||
|---|---|---|---|---|---|---|
| Cases | Percentage | Cases | Percentage | |||
| Sex | Male | 154 | 61.4 | 194 | 61.8 | 4.5977 (p = 0.03) |
| Female | 93 | 37.1 | 118 | 37.6 | 2.962 (p = 0.09) | |
| Missing | 4 | 1.6 | 2 | 0.6 | 0.667 (p = 0.41) | |
| Age | <18 | 26 | 10.4 | 101 | 32.2 | 44.291 (p < 0.001) |
| 18–34 | 152 | 60.6 | 104 | 33.1 | 9.000 (p < 0.01) | |
| 35–59 | 67 | 26.7 | 80 | 25.5 | 1.150 (p = 0.28) | |
| >60 | 2 | 0.8 | 23 | 7.3 | 17.640 (p < 0.001) | |
| Missing | 4 | 1.6 | 6 | 1.9 | 0.400 (p = 0.53) | |
| South African Triage Scale Score | Red | 5 | 2.0 | 1 | 0.3 | 2.667 (p = 0.10) |
| Orange | 27 | 10.8 | 37 | 11.8 | 1.563 (p = 0.21) | |
| Yellow | 156 | 62.2 | 212 | 67.5 | 8.522 (p < 0.01) | |
| Green | 43 | 17.1 | 32 | 10.2 | 1.613 (p = 0.20) | |
| Missing | 20 | 8.0 | 32 | 10.2 | 2.769 (p = 0.10) | |
| Disposition | Admitted | 13 | 5.2 | 2 | 0.6 | 8.067 (p < 0.01) |
| Transferred | 12 | 4.8 | 8 | 2.5 | 0.800 (p = 0.37) | |
| Discharged | 194 | 77.3 | 263 | 83.8 | 10.418 (p = 0.001) | |
| Abscond | 19 | 7.6 | 15 | 4.8 | 0.471 (p = 0.49) | |
| Missing | 13 | 5.2 | 26 | 8.3 | 4.333 (p = 0.04) | |
| Total | 251 | 44.4 | 314 | 55.6 | 7.025 (p = 0.01) | |
Fig. 1Flowchart of study data analysis. Intentional and unintentional injury cases were selected for further analysis from the total trauma population of 565.
Fig. 2Trauma cases by time of day and day of week.