| Literature DB >> 30055647 |
Ashley P Marek1, Rachel M Nygaard2, Ellie M Cohen1, Stephanie F Polites3, Anne-Marie E Sirany1, Sarah E Wildenberg1, Terri A Elsbernd3, Sherrie Murphy1, D Dean Potter3, Martin D Zielinski3, Chad J Richardson1.
Abstract
OBJECTIVE: Our aim was to compare urban and rural non-accidental trauma for trends and characterize where injury prevention efforts can be focused. Pediatric trauma patients (age 0-14 years) at two level I adult and pediatric trauma centers, one rural and one urban, were included and data from the trauma registries at each center was abstracted.Entities:
Keywords: Intentional trauma; Non-accidental trauma; Pediatric injury; Pediatric trauma; Rural injury; Urban injury
Mesh:
Year: 2018 PMID: 30055647 PMCID: PMC6064103 DOI: 10.1186/s13104-018-3639-4
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Comparison of accidental and non-accidental trauma in the upper Midwest
| Accidental trauma (N = 769) | Non-accidental trauma (N = 88) | P valuea | |
|---|---|---|---|
| Age (y), mean (SD) | 7.7 (4.2) | 2.6 (3.2) | < 0.001 |
| Male, N (%) | 510 (66.3) | 50 (56.8) | 0.076 |
| ISS, median (CI) | 4 (4, 4) | 9 (9, 9) | < 0.001 |
| LOS days, mean (SD) | 3.0 (5.6) | 4.8 (9.8) | 0.011 |
| Mortality, N (%) | 8 (1.0) | 5 (5.7) | 0.001 |
| Mechanism of injury blunt, N (%) | 706 (92.5) | 87 (98.9) | 0.026 |
| Urban versus rural, N (%) | 0.037 | ||
| Urban | 361 (92.1) | 31 (7.9) | |
| Rural | 408 (87.7) | 57 (12.3) | |
| Payer group, N (%) | 0.010 | ||
| Government | 246 (32.3) | 43 (48.9) | |
| Commercial | 447 (62.4) | 40 (45.5) | |
| Uninsured | 41 (5.4) | 5 (5.7) |
ISS injury severity score, LOS length of (hospital) stay, y years
aChi2 test for categorical variables, Student’s T test for comparison of means and Mann–Whitney test for comparison of medians
Characteristics of non-accidental trauma
| Urban (N = 31) | Rural (N = 57) | P valuea | |
|---|---|---|---|
| Age (y), mean (SD) | 2.2 (2.8) | 2.8 (3.4) | 0.418 |
| Male, N (%) | 20 (64.5) | 30 (52.6) | 0.282 |
| ISS, median (CI) | 9 (5, 9) | 9 (9, 9) | 0.539 |
| Mortality, N (%) | 2 (6.5) | 3 (5.3) | 0.818 |
| LOS days, N (%) | 6.2 (12.2) | 4.0 (8.3) | 0.323 |
| Mechanism of injury blunt, N (%) | 31 (100) | 56 (98.3) | 0.458 |
| Payer group, N (%) | 0.006 | ||
| Government | 22 (71.0) | 21 (36.8) | |
| Commercial | 7 (22.6) | 33 (58.9) | |
| Uninsured | 2 (6.5) | 3 (5.3) |
ISS injury severity score, LOS length of (hospital) stay, y years
aChi2 test for categorical variables, Student’s T test for comparison of means and Mann–Whitney test for comparison of medians
Regression analysis of factors associated with non-accidental trauma in the upper Midwest
| OR (CI) | P valuea | OR (CI) | P valueb | |
|---|---|---|---|---|
| Age | 0.66 (0.59, 0.72) | < 0.001 | 0.67 (0.60, 0.73) | < 0.001 |
| Sex male | 0.69 (0.47, 1.05) | 0.078 | – | |
| Rural | 1.63 (1.03, 2.58) | 0.038 | 1.55 (0.93, 2.59) | 0.094 |
| Mechanism of injury penetrating, N (%) | 0.14 (0.02, 1.04) | 0.055 | – | |
| Payer group, N (%) | ||||
| Government | 2.08 (1.32, 3.29) | 0.002 | 1.37 (0.82, 2.29) | 0.230 |
| Commercial | Ref | Ref | ||
| Uninsured | 1.45 (0.54, 3.89) | 0.455 | 1.08 (0.37, 3.14) | 0.885 |
aUnivariable logistic regression
bMultivariable logistic regression