Do emergency nurses' triage decisions predict differences in admission or discharge diagnoses for acute coronary
1University of Michigan School of Nursing, Ann Arbor, MI 48109, USA. cmae@umich.edu
Insights
Emergency nurses' triage decisions for acute coronary syndromes (ACS) showed poor accuracy in predicting patient diagnoses. This highlights potential limitations in initial emergency cardiac care assessments.
Area of Science:
- Cardiology
- Emergency Medicine
- Nursing Research
Background:
- Coronary heart disease (CHD) is a leading cause of death in the U.S., with women experiencing higher mortality rates after acute coronary events.
- Women often receive less aggressive treatment for acute coronary events compared to men, contributing to disparities in outcomes.
- Emergency nurses play a critical role in initial patient triage, influencing the urgency and direction of cardiac care.
Purpose of the Study:
- To investigate whether emergency nurses' initial triage decisions can predict the subsequent admission or discharge diagnoses of acute coronary syndromes (ACS).
Main Methods:
- A prospective study analyzed 108 triage decisions made by 13 emergency nurses.
- Multivariate analysis identified predictors of an ACS diagnosis, including chest pain, history of CHD, history of myocardial infarction, and smoking.
- Patient demographics (gender, race, age) were assessed for influence on triage decisions.
Main Results:
- Nurses' triage decisions did not differ based on patient gender, race, or age.
- The accuracy of triage decisions in predicting admission diagnosis was poor (Sensitivity 57%, Specificity 59%).
- Predicting discharge diagnosis also showed poor accuracy (Sensitivity 55%, Specificity 69%), with a very low positive predictive value (17%).
Conclusions:
- Emergency nurses' initial triage decisions have significant limitations in accurately predicting admission and discharge diagnoses for patients with suspected acute coronary syndromes.
- These findings suggest a need to re-evaluate and potentially enhance current emergency nursing triage protocols for cardiac patients to improve diagnostic accuracy and reduce disparities.
Abstract:
Coronary heart disease is the number 1 killer of adults in the United States, affecting 1 in 5 men and women. However, women are more likely than men to die after an acute coronary event and are less likely to receive prompt or aggressive treatment. Few studies have examined the role of emergency nurses' triage decisions in these disparities, even though nurses often determine initial patient priority and urgency status for emergency cardiac evaluation and treatment. The purpose of this prospective study was to examine if nurses' initial triage decisions could predict admission or discharge diagnoses for acute coronary syndromes (ACS). A total of 108 nurses' triage decisions made by 13 nurses were examined. There were no differences in nurses' triage decisions based on patient gender, race, or age. By multivariate analysis, chest pain, history of coronary heart disease, history of myocardial infarction, and smoking were predictive of an ACS decision. Overall, accuracy for predicting admission diagnosis was poor. Sensitivity and specificity were 57% and 59%, respectively, with a positive predictive value of 68% and a negative predictive value of 56%. It was similarly poor for predicting discharge diagnosis. Sensitivity and specificity for discharge diagnosis were 55% and 69%, respectively, with a positive predictive value of 17% and a negative predictive value of 93%. Findings indicate limitations in the ability of nurses' triage decisions to predict admission and discharge diagnoses for ACS.
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