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Evaluation of different models of general practitioners working in or alongside emergency departments: a mixed-methods realist evaluation
Health and Social Care Delivery Research, Volume: 12, Issue: 10, Pages: 1 - 152
Swansea University Authors: Pippa Anderson, Bridie Evans , Shaun Harris , Saiful Islam , Rhys Pockett , Alison Porter , Helen Snooks , Alan Watkins
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DOI (Published version): 10.3310/jwqz5348
Abstract
BackgroundEmergency healthcare services are under intense pressure to meet increasing patient demands. Many patients presenting to emergency departments could be managed by general practitioners in general practitioner–emergency department service models.ObjectivesTo evaluate the effectiveness, safe...
Published in: | Health and Social Care Delivery Research |
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ISSN: | 2755-0079 |
Published: |
National Institute for Health and Care Research
2024
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa66228 |
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Abstract: |
BackgroundEmergency healthcare services are under intense pressure to meet increasing patient demands. Many patients presenting to emergency departments could be managed by general practitioners in general practitioner–emergency department service models.ObjectivesTo evaluate the effectiveness, safety, patient experience and system implications of the different general practitioner–emergency department models.DesignMixed-methods realist evaluation.MethodsPhase 1 (2017–8), to understand current practice: rapid realist literature review, national survey and follow-up key informant interviews, national stakeholder event and safety data analysis. Phase 2 (2018–21), to collect and analyse qualitative (observations, interviews) and quantitative data (time series analysis); cost–consequences analysis of routine data; and case site data for ‘marker condition’ analysis from a purposive sample of 13 case sites in England and Wales. Phase 3 (2021–2), to conduct mixed-methods analysis for programme theory and toolkit development.ResultsGeneral practitioners commonly work in emergency departments, but delivery models vary widely in terms of the scope of the general practitioner role and the scale of the general practitioner service. We developed a taxonomy to describe general practitioner–emergency department service models (Integrated with the emergency department service, Parallel within the emergency department, Outside the emergency department on the hospital site) and present a programme theory as principal output of the study to describe how these service models were observed to operate. Routine data were of variable quality, limiting our analysis. Time series analysis demonstrated trends across intervention sites for: increased time spent in the emergency department; increased emergency department attendances and reattendances; and mixed results for hospital admissions. Evidence on patient experience was limited but broadly supportive; we identified department-level processes to optimise the safety of general practitioner–emergency department models.LimitationsThe quality, heterogeneity and extent of routine emergency department data collection during the study period limited the conclusions. Recruitment was limited by criteria for case sites (time series requirements) and individual patients (with ‘marker conditions’). Pandemic and other pressures limited data collection for marker condition analysis. Data collected and analysed were pre pandemic; new approaches such as ‘telephone first’ and their relevance to our findings remains unexplored.ConclusionFindings suggest that general practitioner–emergency department service models do not meet the aim of reducing the overall emergency department waiting times and improving patient flow with limited evidence of cost savings. Qualitative data indicated that general practitioners were often valued as members of the wider emergency department team. We have developed a toolkit, based on our findings, to provide guidance for implementing and delivering general practitioner–emergency department services. |
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College: |
Faculty of Medicine, Health and Life Sciences |
Funders: |
NIHR Health and Social Care Delivery Research (HSDR) Programme |
Issue: |
10 |
Start Page: |
1 |
End Page: |
152 |