Evidence map›Paper›PMID 41462243›Full record

ReviewBMC medicine2025

Developing and integrating physician assistants/associates in UK hospital teams: a realist review of lessons from international experiences.

Yingxi Zhao, Shobhana Nagraj, Rhys Swainston, Gerry McGivern, Tricia Tooman, Kim A Walker, Attakrit Leckcivilize, Mike English, Geoff Wong

Abstract readReview
In one paragraph

Review in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yingxi ZhaoNuffield Department of Medicine Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK. yingxi.zhao@ndm.ox.ac.uk.
Shobhana NagrajDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Rhys SwainstonNuffield Department of Medicine Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK.
Gerry McGivernKing's Business School, King's College London, London, UK.
Tricia ToomanCentre for Healthcare Education Research and Innovation, University of Aberdeen, Aberdeen, UK.
Kim A WalkerCentre for Healthcare Education Research and Innovation, University of Aberdeen, Aberdeen, UK.
Attakrit LeckcivilizeNuffield Department of Medicine Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK.
Mike EnglishNuffield Department of Medicine Centre for Global Health Research, University of Oxford, S Parks Rd, Oxford, OX1 3SY, UK.
Geoff WongNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.

Funding

National Institute for Health and Care Research NIHR153324Wellcome TrustWellcome Trust 207522
6 · The paper itself

Abstract

backgroundPhysician assistants/associates (PAs) were introduced into NHS secondary care facilities to help address workforce shortages in the UK. However, recent controversy and the government-commissioned Leng Review in England highlighted concerns around role clarity, supervision, and professional boundaries relating to PAs, largely due to inconsistent implementation and local variations. We examined how PA roles are developed and integrated in hospital teams across high-income countries, generating insights relevant to ongoing workforce reforms in the UK, including those recently recommended in England by the Leng Review.

methodsWe conducted a realist review to explain how, why, and under what contexts PA roles are developed and integrated in secondary care. We systematically searched peer-reviewed studies from high-income settings and UK-specific grey literature (Jan 2000-March 2025). We extracted and synthesised data to develop context-mechanism-outcome configurations (CMOCs). We mapped history, regulation, and scope of practice in included countries to support contextual interpretation. We iteratively refined CMOCs to produce a final programme theory.

resultsWe developed 56 CMOCs from 122 sources across nine high-income settings, which were synthesised into five inter-related themes: (1) organisational drivers, such as service design, workforce shortages, and policy reforms, created opportunities for new workforce models like introducing PA roles; (2) PAs' role and identity formation were shaped through time, supervision, and opportunities for meaningful, appropriately challenging work; (3) negotiation of professional boundaries revealed unclear or overlapping roles creating tensions, whereas well-defined, complementary roles reducing resistance; (4) role perceptions and acceptance from team members and patients depended on perceived value and relative advantages, also shaped by psychologically safe team cultures; and (5) evidence and impact were difficult to measure using standard metrics, which often overlooked PAs' contributions to teamwork and continuity, and role variations and methodological limitations constrained generalisability.

conclusionsOur findings offer a transferrable framework for understanding workforce innovations and new roles in complex health systems. We provide practical insights for hospital managers and clinical leaders in the NHS, including those in England who are implementing the reforms recommended by the Leng Review. Realist evaluations are needed to refine our programme theory and inform effective workforce changes.

Indexed as

Patient Care TeamPhysician AssistantsHumansProfessional RoleState MedicineUnited KingdomAdditional rolesExtended rolesInterprofessional teamsLegitimacySkill mixTask sharingTeam workWorkforce planning

Identifiers

PMID41462243
PMCPMC12751915

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.