G R Fries1, G McCalla, M A Levitt, R Cordova. 1. Department of Emergency Medicine, Highland General Hospital, University of California at San Francisco, Oakland.
Abstract
STUDY OBJECTIVE: To study paramedic judgment and the Trauma Triage Rule in prehospital trauma triage. DESIGN: Prospective. SETTING: A county emergency medical services system. PARTICIPANTS: Six hundred fifty-three trauma patients. RESULTS: Over a 3-month period, 653 trauma patients were evaluated in the prehospital setting. Paramedic judgment and the Trauma Triage Rule (TTR), as described by Baxt, were evaluated for accuracy in identifying patients requiring trauma center care. The TTR achieved a sensitivity of 88% and a specificity of 86%. Paramedic judgment had a sensitivity of 91% and a specificity of 60%. Combining the TTR and paramedic judgment achieved a sensitivity of 100% and a specificity of 75%. CONCLUSION: The TTR and paramedic judgment are effective in identifying patients who require trauma center care in the prehospital setting. The TTR and paramedic judgment combined have the greatest predictive value in identifying seriously injured patients.
STUDY OBJECTIVE: To study paramedic judgment and the Trauma Triage Rule in prehospital trauma triage. DESIGN: Prospective. SETTING: A county emergency medical services system. PARTICIPANTS: Six hundred fifty-three traumapatients. RESULTS: Over a 3-month period, 653 traumapatients were evaluated in the prehospital setting. Paramedic judgment and the Trauma Triage Rule (TTR), as described by Baxt, were evaluated for accuracy in identifying patients requiring trauma center care. The TTR achieved a sensitivity of 88% and a specificity of 86%. Paramedic judgment had a sensitivity of 91% and a specificity of 60%. Combining the TTR and paramedic judgment achieved a sensitivity of 100% and a specificity of 75%. CONCLUSION: The TTR and paramedic judgment are effective in identifying patients who require trauma center care in the prehospital setting. The TTR and paramedic judgment combined have the greatest predictive value in identifying seriously injured patients.
Authors: Craig D Newgard; Michael Kampp; Maria Nelson; James F Holmes; Dana Zive; Thomas Rea; Eileen M Bulger; Michael Liao; John Sherck; Renee Y Hsia; N Ewen Wang; Ross J Fleischman; Erik D Barton; Mohamud Daya; John Heineman; Nathan Kuppermann Journal: J Trauma Acute Care Surg Date: 2012-05 Impact factor: 3.313
Authors: Craig D Newgard; Maria J Nelson; Michael Kampp; Somnath Saha; Dana Zive; Terri Schmidt; Mohamud Daya; Jonathan Jui; Lynn Wittwer; Craig Warden; Ritu Sahni; Mark Stevens; Kyle Gorman; Karl Koenig; Dean Gubler; Pontine Rosteck; Jan Lee; Jerris R Hedges Journal: J Trauma Date: 2011-06
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