To characterize both emergency room (ER) and hospital discharge dispositions of patients presenting with farm-related injuries. The 2012 National Trauma Data Bank was queried in August 2017 for injuries occurring on a farm. Patients were stratified by gender, age group, race, Injury Severity Score (ISS), and injury type. We performed logistic regression analysis to correlate parameters with likelihood of discharge home or death. P values < 0.05 were considered significant. Five thousand six hundred thirty-one patients were identified, the majority of whom were male (72%) and white (85%). The most common mechanisms of injury included animal-related (29%), followed by falls, vehicles, and other causes. The highest ISSs were seen in vehicular injuries (11% ISS of 251) and the greatest fatality rate was seen in machinery injuries (4%). Four thousand seven hundred fifty-three (84%) patients were admitted to the hospital, and 4056 (72%) were discharged home from the ER or after hospitalization. One hundred thirty patients (2%) died of their farm-related injury. Most patients presenting to the ER with farm-related injuries survive, are admitted to the hospital, and are ultimately discharged home. Few patients die of their injuries. Animal injury is most common and machinery injury most lethal of farm trauma patients presenting to the ER.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.