What TRIage model is safest and most effective for the Management of 999 callers with suspected COVID-19? A linked outcome study (TRIM)
- Funded by Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR), UK Research and Innovation (UKRI)
- Total publications:1 publications
Grant number: MR/V027808/1
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Key facts
Disease
COVID-19Start & end year
20202022Known Financial Commitments (USD)
$233,104.29Funder
Department of Health and Social Care / National Institute for Health and Care Research (DHSC-NIHR), UK Research and Innovation (UKRI)Principal Investigator
Professor Alan WatkinsResearch Location
United KingdomLead Research Institution
Swansea UniversityResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Supportive care, processes of care and management
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
NHS services are experiencing highly volatile demands for care as a result of the COVID19 pandemic, with initial contact often being a 999 call to the emergency ambulance service reporting coronavirus symptoms. Triage, determining each callers' treatment, is key to appropriate care provision and resource allocation. Undertriage of 999 calls may result in avoidable serious or critical illness or death; overtriage adds unnecessary increased pressure on secondary care services, diverts resources away from the most seriously ill and may expose patients to unnecessary risk of further infection at the hospital. Little is known about what model of triage works most safely and effectively in the context of a pandemic. We will survey all ambulance services In England, Wales and Scotland to categorise triage models used in call centres and on scene during the 2020 pandemic. We will work with selected ambulance services from each triage model type and retrieve anonymised linked outcomes for callers logged by services with COVID-19 symptoms; outcomes include death, hospital and ITU admissions, Emergency Department attendances, COVID19 diagnosis. We will also track 'backwards' to examine ambulance service records of patients admitted to hospital with a diagnosis of COVID-19 in order to identify any missed or undertriaged cases. We will also undertake semi-structured interviews with stakeholders in sampled services, to gain an understanding of experiences and concerns related to implementation, effectiveness and safety. We will deliver staged outputs throughout this study in order to inform policy and practice during later stages of the current crisis and any future pandemics.
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