‘Every day was a learning curve’: implementing COVID-19 triage protocols in UK ambulance services—a qualitative study of staff experiences
Alison Porter, Fiona Bell, Mike Brady, Shona Brown, Andrew Carson-Stevens, Timothy Driscoll, Bridie Angela Evans, Theresa Foster, John Gallanders, Imogen Gunson, Robert Harris-Mayes, Mark Kingston, Ronan Lyons, Elisha Miller, Andy Rosser, Aloysius Niroshan Siriwardena

TL;DR
This study explores how UK ambulance staff adapted to triage protocols during the pandemic, highlighting the challenges and emotional toll of managing suspected COVID-19 cases.
Contribution
The study provides new insights into the real-time adaptations and emotional burdens faced by ambulance staff during the implementation of triage protocols for suspected COVID-19.
Findings
Ambulance services prioritized patients most in need while minimizing infection risks.
Staff faced significant cognitive and emotional loads due to constant changes in protocols.
Flexible triage adjustments were necessary amid high uncertainty and external pressures.
Abstract
TRIM (What TRIage model is safest and most effective for the Management of 999 callers with suspected COVID-19? A linked outcome study) was an evaluation of models used to triage and manage emergency ambulance service care for patients with suspected COVID-19. In an embedded qualitative component, we aimed to understand experiences and concerns of clinical and managerial staff about processes for responding to patients with suspected COVID-19, in the call centre and on scene. Research paramedics in four study sites across England interviewed purposively selected stakeholders from ambulance services (call handlers, clinical advisors in call centres, clinicians providing emergency response, managers) and emergency department clinical staff. Interviews (n=25) were conducted remotely, recorded and transcribed. Thematic analysis was conducted by a group of researchers and PPI (patient and…
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Taxonomy
TopicsDisaster Response and Management · Emergency and Acute Care Studies · Disaster Management and Resilience
