| Literature DB >> 27868167 |
Dan K Kisitu1, Lauren E Eyler2, Isaac Kajja3, Gonzaga Waiswa3, Titus Beyeza4, David R Ragland5, Isabelle Feldhaus2, Catherine Juillard2, Rochelle A Dicker6.
Abstract
BACKGROUND: Musculoskeletal injuries are a common cause of morbidity after road traffic injury (RTI) in motorizing countries. District hospitals provide front-line orthopedic care in Uganda and other sub-Saharan African nations. Improving care at the district hospital level is an important component of the World Health Organization's strategy for surgical and trauma systems strengthening, but the data necessary to inform RTI safety and care initiatives has previously been insufficient at the district hospital level. The objective of this study was to provide data on the patient population and patterns of musculoskeletal injury caused by RTI at Ugandan district hospitals.Entities:
Keywords: Epidemiology; Injury; Less motorized countries; Road users
Year: 2016 PMID: 27868167 PMCID: PMC5136531 DOI: 10.1186/s40621-016-0092-5
Source DB: PubMed Journal: Inj Epidemiol ISSN: 2197-1714
Fig. 1Distribution of road user types among the patient population (n = 172)
Demographic characteristics by type of road user (frequency (percent))
| RTI Patients | Pedestrians | Motorcyclists |
| ||||
|---|---|---|---|---|---|---|---|
| Characteristic |
| % (95 % CI) |
| % (95 % CI) |
| % (95 % CI) | |
| Age (years) | |||||||
| 0–14 | 29 | 16 % (10–22 %) | 25 | 31 % (21–41 %) | 3 | 5 % (0–11 %) | <0.001 |
| 15–29 | 56 | 32 % (25–39 %) | 22 | 27 % (17–37 %) | 26 | 39 % (27–51 %) | 1 |
| 30–44 | 42 | 24 % (17–31 %) | 19 | 23 % (13–33 %) | 16 | 24 % (13–35 %) | 1 |
| 45–59 | 30 | 17 % (11–23 %) | 10 | 12 % (4–20 %) | 17 | 26 % (15–37 %) | 1 |
| > 59 | 11 | 6 % (2–10 %) | 5 | 6 % (0–12 %) | 4 | 6 % (0–12 %) | 1 |
| Sex | |||||||
| Male | 125 | 71 % (64–78 %) | 57 | 68 % (57–79 %) | 52 | 74 % (63–85 %) | 1 |
| Female | 51 | 29 % (22–36 %) | 27 | 32 % (21–43 %) | 18 | 26 % (15–37 %) | |
| Education | |||||||
| Pre-Schooling | 4 | 2 % (0–4 %) | 3 | 4 % (0–9 %) | 1 | 1 % (0–4 %) | 1 |
| Student | 40 | 23 % (16–30 %) | 27 | 33 % (22–44 %) | 7 | 10 % (2–18 %) | 0.02 |
| ≤ Secondary Schooling | 100 | 57 % (49–65 %) | 39 | 48 % (37–59 %) | 51 | 74 % (63–85 %) | 0.03 |
| Post-Secondary Schooling | 27 | 15 % (09–21 %) | 12 | 15 % (7–23 %) | 10 | 14 % (5–23 %) | 1 |
| Occupation | |||||||
| Child | 4 | 2 % (0–4 %) | 3 | 4 % (1–9 %) | 1 | 1 % (0–4 %) | 1 |
| Student | 39 | 23 % (16–30 %) | 27 | 33 % (22–44 %) | 7 | 10 % (2–18 %) | 0.02 |
| Self Employed | 58 | 34 % (27–41 %) | 24 | 29 % (19–39 %) | 29 | 42 % (30–54 %) | 1 |
| Employee of NGO/Parastatal | 15 | 9 % (4–14 %) | 8 | 10 % (3–17 %) | 6 | 9 % (2–16 %) | 1 |
| Civil Servant | 5 | 3 % (0–6 %) | 0 | 0 % (0–1 %) | 4 | 6 % (0–12 %) | 0.83 |
| Motorcycle Taxi Driver | 6 | 3 % (0–6 %) | 1 | 1 % (0–4 %) | 4 | 6 % (0–12 %) | 1 |
| Housewife | 4 | 2 % (0–4 %) | 2 | 2 % (0–6 %) | 2 | 3 % (0–8 %) | 1 |
| Subsistence Farmer | 26 | 15 % (9–21 %) | 12 | 15 % (7–23 %) | 13 | 19 % (9–29 %) | 1 |
| Unemployed | 4 | 2 % (0–4 %) | 3 | 4 % (1–9 %) | 1 | 1 % (0–4 %) | 1 |
| Other | 7 | 4 % (1–7 %) | 2 | 2 % (0–6 %) | 2 | 3 % (0–8 %) | 1 |
aBonferroni-corrected chi-squared or fisher’s exact test comparing pedestrians to motorcyclists
Fig. 2Injury time of daya by road user type (n = 172). aTime at which injury occurred.