Optimizing Triage and Hospitalisation In Adult General Medical Emergency Patients: the TRIAGE Study

Overview

Patients presenting to the emergency department (ED) currently face inacceptable delays in initial treatment, and long and costly hospital stays due to suboptimal initial triage. Accurate ED triage should focus not only on initial treatment priority, but also on prediction of medical risk and nursing needs to improve site of care decision and to simplify early discharge management. Herein, we propose a large prospective cohort study to optimize initial patient triage for (a) better determination of initial treatment priority, (b) overall risk and need for inhospital treatment and (c) early assessment of post-acute nursing needs.

Background: Patients presenting to the emergency department (ED) currently face inacceptable delays in initial treatment, and long and costly hospital stays due to suboptimal initial triage. Accurate ED triage should focus not only on initial treatment priority, but also on prediction of medical risk and nursing needs to improve site of care decision and to simplify early discharge management. Different triage scores have been proposed, such as the Manchester Triage Score (MTS). Yet, these scores focus only on treatment priority, have suboptimal performance and lack validation in the Swiss Health care system. Because the MTS will be introduced into clinical routine of the Kantonsspital Aarau, we propose a large prospective cohort study to optimize initial patient triage. Specifically, the aim of this trial is to derive a three part triage algorithm to better predict (a) treatment priority; (b) medical risk and thus need for inhospital treatment; (c) post-acute care needs of patient's at the most proximal time point of ED admission. Methods / Design: Prospective, observational, cohort study. We will include all consecutive medical patients seeking ED care into this observational registry. There will be no exclusions except for non-adult and non-medical patients. Vital signs will be recorded and left over blood samples will be stored for later batch analysis of blood markers. Upon ED discharge, the post-acute care score will be recorded. Attending ED physicians will adjudicate triage priority based on all available results at the time of discharge. Patients will be reassessed daily during the hospital course for medical and nursing stability. To assess outcomes, data from electronic medical records will be used and all patient will be contacted 30 days after hospital admission to assess vital status, rehospitalisation and quality of life measures. We aim to include between 5000 and 7000 patients over one year of recruitment to derive the three part triage algorithm. The respective main endpoints were defined as (a) initial triage priority (high vs. low priority) adjudicated by the attending ED physician at ED discharge, (b) adverse 30 day outcome (death or intensive care unit admission) within 30 days following ED admission to assess patients risk and thus need for inhospital treatment and (c) care needs after hospital discharge, defined as transfer of patients to a post-acute care institution, for early recognition and planning of post-acute care needs. Other outcomes are time to first physician contact, time to initiation of adequate medical therapy, length of hospital stay, patient's satisfaction with care and overall hospital costs. Discussion: Using a reliable initial triage system for estimating initial treatment priority, need for inhospital treatment and post-acute care needs is an innovative and persuasive approach for a more targeted management of medical patients in the ED. Our group has proven feasibility with a track record of several completed and ongoing trials. The proposed interdisciplinary project has unprecedented potential to improve initial triage decisions and optimize resource allocation to the sickest patients from admission to discharge. The algorithms derived in this study will be compared in a later randomized controlled trial against a usual care control group in terms of resource use, length of hospital stay, overall costs and patient's outcomes in terms of mortality, rehospitalisation, quality of life and satisfaction with care.