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A classification of primary care streaming pathways in UK emergency departments: findings from a multi-methods study comprising cross-sectional survey; site visits with observations, semi-structured and informal interviews

Authors :
Michelle Edwards
Helen Snooks
Bridie Evans
Adrian Edwards
Andrew Carson-Stevens
Matthew Cooke
Freya Davies
Alison Porter
Peter Hibbert
Timothy H. Rainer
Thomas Hughes
Barbara Harrington
Jeremy Dale
Alison Cooper
Pippa Anderson
Julie Hepburn
Rebecca Sherlock
Aloysius Niroshan Siriwardena
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Background Variation in initial assessment methods at emergency departments in with primary care service models and a conflated terminology causes difficulties in assessing relative performance, improving quality or gathering evidence about safety and clinical effectiveness. We aim to describe and classify streaming pathways in emergency departments in different models of emergency department primary care services in England and Wales. Methods We used a multi-stage method, including an online survey completed by 77 emergency departments across England & Wales, interviews with 21 clinical leads, and in-depth case studies of 13 emergency departments. All qualitative data were triangulated and analysed using a framework approach. Results Common emergency department pathways to primary care services were: front door streaming; streaming inside the emergency department; or primary care staff selecting patients. Pathways were also in place to redirect patients with non-urgent primary care problems to community primary care services. Streaming and redirection pathways were often adapted, with variation in protocols based on local circumstances. Conclusion Clinical leads should consider which pathway(s) best suit their local context. Consistency of terminology used to describe pathways between emergency departments and primary care services is necessary for performance measurement, quality improvement and rigorous future multi-site evaluative and descriptive research.

Details

Language :
English
ISSN :
1755599X
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....8217f5ce79d491265a8241e4f04c3aaf