Enhancing Pre-hospital Chest Pain Telephone-triage
Research type
Research Study
Full title
Enhancing Pre-hospital Chest Pain Telephone-triage Using a Prediction Model
IRAS ID
277778
Contact name
Richard Body
Contact email
Sponsor organisation
University of Manchester
Clinicaltrials.gov Identifier
N/A, N/A
Duration of Study in the UK
1 years, 6 months, 19 days
Research summary
Chest pain, which is one of the main symptoms of Acute Coronary Syndrome (ACS), is one of the most common reasons to use ambulance services and EDs admission. ACS patients usually present with chest pain, while the majority of chest pain patients that were transported by ambulance and admitted to EDs were diagnosed with non-cardiac disease. Moreover, the prevalence of having the ACS is less than 20% among patients who are admitted for suspicion of ACS.
With the current clinical guidelines for emergency medical services (EMS), it is hard to rule in or rule out ACS by telephone-triage. Consequently, there is a need to enhance pre-hospital telephone-triage using prediction models as it showed a promising result. Implementation of a prediction model would improve pre-hospital resources usage, identify ACS patients earlier, and reduce un-necessarily EDs admission.
In this study, we will derive and validate a prediction model for use in the pre-hospital setting. A retrospective observational cohort study will be used to collect data of chest patients from North West Ambulance Services (NWAS) EMS dispatch system. We will determine the outcome of patients by linking the data from the receiving hospital.
REC name
North West - Greater Manchester East Research Ethics Committee
REC reference
21/NW/0123
Date of REC Opinion
27 Apr 2021
REC opinion
Favourable Opinion