Assessing Trauma Care Provider Judgement in the Prediction of Need for Life-saving Interventions
Abstract
Introduction: Human judgement on the need for life-saving interventions (LSI) in trauma is poorly studied, especially during initial casualty management. We prospectively examined early clinical judgement and compared clinical experts predictions of LSI to their later occurrence. Patients and methods: Within 10 15 min of direct trauma admission, we surveyed the predictions of prehospital care providers (PHP, 92% paramedics), trauma centre nurses (RN), and attending or fellow trauma physicians (MD) on the need for LSI. The actual outcomes including fluid bolus, intubation, transfusion (<1 h and 1 6 h), and emergent surgical interventions were observed. Cohen s kappa statistic (K) and percentage agreement were used to measure agreement among provider responses. Sensitivity, specificity, negative predictive value (NPV) and positive predictive value (PPV) were calculated to compare clinical judgement to actual patient interventions. Results: Among 325 eligible trauma patient admissions, 209 clinical judgement of LSIs were obtained from all three providers. Cohen s kappa statistic for agreement between pairs of provider groups demonstrated no disagreement (K < 0) between groups, fair agreement for fluid bolus (K = 0.12 0.19) and blood transfusion 0 6 h (K = 0.22 0.39), and moderate (K = 0.45 0.49) agreement between PHP and RN regarding intubation and surgical interventions, but no excellent (K < 0.81) agreement between any pair of provider groups for any intervention. The percentage agreement across the different clinician groups ranged from 50% to 83%. NPV was 90 99% across providers for all interventions except fluid bolus. Conclusions: Expert clinical judgement provides a benchmark for the prediction of major LSI use in unstable trauma patients. No excellent agreement exists across providers on LSI predictions.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 13, 2015
- Accession Number
- ADA612804
Entities
People
- Amechi N. Anazodo
- Catriona Miller
- Christopher T. Stephens
- Jay Menaker
- Lauren Hartsky
- M. K. Frank
- P. C. Imle
- Peter F. Hu
- Sarah B. Murthi
- Theresa Dinardo
Organizations
- United States Air Force School of Aerospace Medicine