Citation

Shahan CP, Emmett K, Zarzaur BL. Injury 2012; 43(11): 1898-1902.

Affiliation

University of Tennessee Health Science Center, United States.

Copyright

(Copyright © 2012, Elsevier Publishing)

DOI

10.1016/j.injury.2011.03.043

PMID

21561618

Abstract

BACKGROUND: Due to the infrequent occurrence of large animal-related injury (LARI) in many areas, their significance as a public health problem could be overlooked. The purpose of this study was to examine the demographics and injury disparities associated with LARI. METHODS: The Healthcare Cost and Utilization Project Nationwide Inpatient Survey from 2001 was used to construct a cohort of patients admitted after LARI. Patients were stratified by age, gender, race, and median household income of patient's zip code. Where available total hospital charges were converted to cost using the hospital's cost-to-charge ratio. To determine variables associated with injury type, univariable and multivariable logistic regression analysis were used. RESULTS: 2424 LARI admissions were identified within the database. The largest proportion of admitted patients were female (53.8%), Caucasian (64.6%), and from areas with median income >$45,000 (41.8%). Average hospital cost was $5062. Overall, the most common injuries were rib fractures (15.2%), vertebral fractures (11.6%) and haemo-pneumothorax (9%). Multivariable logistic regression analysis revealed that age disparities with older patients receiving more rib fractures, haemo-pneumothorax, vertebral fractures, and pelvic fractures. Skull fractures and head injuries are disproportionately seen in younger patients. Gender disparities were also present, with females more likely to have vertebral fractures but less likely to have rib fractures and heart and lung injuries. CONCLUSIONS: Disparities based on age and gender are associated with hospital admission for LARI in the United States. These admissions have a significant impact on the healthcare system with nationwide cost estimates of nearly $60 million. These findings represent potential areas for targeted prevention efforts.

Language: en