# Identifying innovative models of urgent care in rural coastal areas in England: the Elevate study - a mixed-methods protocol

**Authors:** Pete Lampard, Joy Adamson, Helen Anderson, Lisa Ballantine, Fiona Bell, Jonathan Richard Benger, Rebecca Louise Blakey, Phillip Dickinson, Steven Dykes, James Gaughan, Stuart Maitland-Knibb, Daniel Mensah, Zacharia Alice Ransome, Gerry Richardson, Rita Santos, Rebecca Sheridan, Peter Sivey, Ed Smith, Wei Song, Martin Sutcliffe, Cameron Jack Stockwell, Sarah Voss, Arabella Scantlebury

PMC · DOI: 10.1136/bmjopen-2026-116557 · BMJ Open · 2026-02-24

## TL;DR

The Elevate study explores and evaluates innovative urgent care models in rural coastal areas of England to address healthcare challenges and improve patient outcomes.

## Contribution

The study introduces a mixed-methods approach to evaluate and identify scalable urgent care models tailored to rural coastal communities.

## Key findings

- The study will map innovative urgent care models in rural coastal areas through document review and interviews.
- Quantitative analysis will assess the impact of these models on health and process outcomes using NHS data.
- Qualitative case studies will explore how UEC models affect patient experience and resource use.

## Abstract

Urgent and emergency care (UEC) systems in England face unprecedented pressures, with record accident and emergency attendances, persistent breaches of ambulance response targets and poorer outcomes for time-sensitive conditions. National UEC recovery plans have introduced multiple innovations—such as same-day emergency care, virtual wards and specialty hubs—to manage these pressures and improve patient flow. Rural coastal areas are particularly vulnerable to excessive demand due to higher levels of deprivation, older populations with complex health needs, seasonal surges that generate unpredictable demand and challenges in attracting and retaining staff. Following the Chief Medical Officer’s 2021 Annual Report, funding research and developing bespoke solutions to manage UEC demand and address geographical disparities has been recognised as a national priority. The Elevate study responds to this priority by identifying and evaluating innovative models of UEC in rural coastal communities in England.

The Elevate study is a 30-month, mixed-methods evaluation that comprises three interlinked work packages: (1) National service mapping—outlining provision of innovative models of UEC in rural coastal areas of England. This will be developed through document review and interviews with regional and national service leaders. (2) Quantitative analysis—quasiexperimental and longitudinal approaches will use National Health Service (NHS) England’s Emergency Care Data Set and linked routine NHS datasets to evaluate the impact of UEC models on health and process outcomes. Standard and bespoke metrics will be developed and used to assess performance. (3) Qualitative case studies—up to 12 case studies of UEC models in rural coastal communities. Interviews with patients and staff and non-participant observation will explore how and why different UEC models influence patient experience, clinical outcomes, resource use and the workforce. Findings will be integrated using the Consolidated Framework for Implementation Research to identify components of UEC models that are effective, scalable and sensitive to local context,

Ethical approval for qualitative components was granted by the North of Scotland Research Ethics Committee (25/NS/0099). Dissemination will include peer-reviewed publications, policy briefs, creative media and community engagement activities to ensure findings are communicated inclusively and effectively to policymakers, health and social care practitioners and the public.

Research Registry (researchregistry11126).

## Full-text entities

- **Diseases:** APC (MESH:D011125), mental ill-health (OMIM:603663), neurodevelopmental conditions (MESH:D020763), ARI (MESH:D012141), ECDS (MESH:D004630)
- **Chemicals:** UEC (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

44 references — full list in the complete paper: https://tomesphere.com/paper/PMC12933752/full.md

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Source: https://tomesphere.com/paper/PMC12933752