We identified five key clinical indicators which captured over 60% of visits.
Interobserver reliability and accuracy were compared using Kappa and comparative statistics. Clinical Indicators “pain scale, chest pain, musculoskeletal injury, respiratory illness, and headache” captured 68% and 62% of visits. We have demonstrated a system to measure the levels of process accuracy and reliability for triage over time.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Triage data are widely used to evaluate patient flow, disease severity, and emergency department (ED) workload, factors used in ED crowding evaluation and management.
The lack of treatment worsens their health and social conditions and increases treatment costs, as emergency department visits arise.
Case management has proved to be effective in promoting engagement with care of people with severe mental and substance use disorders.
Therefore, our aim was to validate the implementation of the Canadian Triage and Acuity Scale (CTAS), currently applied by nurses, in a university hospital.
Materials and Methods: Patient information was collected in the Emergency Department and translated from real case scenarios into paper-based scenarios.