Purpose: Trauma is a major health concern. Length of hospital stay (LOS) has been targeted as an important metric to assess trauma care. This study aims to evaluate the risk factors that affect LOS among trauma patients in a trauma center in Southwestern Iran.
Methods: This cross-sectional study was conducted on patients admitted to Rajaee Trauma Center, Shiraz, Iran between January 1, 2018 and December 30, 2018. The inclusion criteria were age above 15 years and having traffic accident injuries, including car, motorcycle and pedestrian injury mechanisms. The exclusion criteria were existing diseases including cardiovascular, cerebral, renal, and pulmonary diseases prior to this study, dead upon arrival or within 48 h after admission, and stay at the hospital for less than 6 h. The risk variables analyzed for prolonged LOS were age, gender, mechanism of traffic accident injury, infection during hospital stay, type of injury, injury severity score, surgery during hospitalization, and survival. Poisson regression was performed to evaluate the partial effects of each covariate on trauma hospitalization (≥3 days as longer stay).
Results: This study was conducted on 14,054 patients with traffic accident injury and the mean age was (33.89 ± 15.78) years. Additionally, 74.35% of the patients were male, with male to female ratio of 2.90. The result of Poisson regression indicated that male patients, higher age, combination of thoracic injuries, onset of infected sites, and surgery patients were more susceptible to have a longer LOS. Considering the site of injury, patients with face injuries followed by those with thorax injuries had the highest means of LOS (3.74 days and 3.36 days, respectively). Simultaneous existence of surgical intervention and infection in a patient had the greatest impact on prolonged LOS.
Conclusion: This study identified that age, gender, mechanism of injury, infection, type of injury, survival, and ISS could lead to prolongation of LOS, but the affect can be reduced by eliminating modifiable risk factors.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7296356 | PMC |
| http://dx.doi.org/10.1016/j.cjtee.2020.01.002 | DOI Listing |
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