Evaluation of Standard Versus Nonstandard Vital Signs Monitors in the Prehospital and Emergency Departments: Results and Lessons Learned from a Trauma Patient Care Protocol

Abstract

This study aimed to determine the effectiveness of using a wireless, portable vital signs monitor (WVSM) for predicting the need for lifesaving interventions (LSIs) in the emergency department (ED) and use a multivariate logistic regression model to determine whether the WVSM was an improved predictor of LSIs in the ED over the standard of care monitor currently being used. This study analyzed 305 consecutive patients transported from the scene via helicopter to a Level I trauma center. For 104 patients in the study, a WVSM was also attached to the patient s arm and used to record and display prehospital and hospital physiologic data in real time on a handheld computer and in the trauma bay. Multivariateogistic regression analyses were performed for accuracy in predicting needs for LSIs in control and WVSM subjects. In addition, receiver operating characteristic curves were obtained to examine the discriminating power of the models for the outcome of one or more LSIs in the ED. Of the 305 patients, 73 underwent 109 LSIs in the ED. Of these, 21 patients wore the WVSM during transport in addition to the standard monitor. Logistic regression analysis revealed that heart rate, respiratory rate, and systolic blood pressure were significantly associated with an increased risk for LSIs in the ED (p G 0.05). Receiver operating characteristic curve analysis also demonstrated better prediction for LSIs performed in the ED in WVSM subjects than in control subjects (area under the curve, 0.86 vs. 0.81, respectively). The WVSM system leads to improved LSI accuracy in the ED. In addition, many important lessons have been learned in preparation for this study. Adoption of nonstandard vital signs monitors into critical care/trauma medicine may require a new paradigm of personnel education, training, and practice.

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 2014
Accession Number
ADA614565

Entities

People

  • Charles E Wade
  • John B Holcomb
  • Josè Salinas
  • Mark I. Darrah
  • Nehemiah T. Liu

Organizations

  • United States Army Institute of Surgical Research

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cardiovascular Physiological Phenomena
  • Electrocardiography
  • Emergencies
  • Health Services
  • Hospitals
  • Information Science
  • Lessons Learned
  • Measurement
  • Medical Personnel
  • Mobile Devices
  • Patient Care
  • Physical Examination (Medicine)
  • Standards
  • Statistical Analysis
  • Vital Signs
  • Waveforms

Fields of Study

  • Medicine

Readers

  • Regression Analysis.
  • Trauma or Military Medicine