Evidence map›Paper›PMID 42096417›Full record

ArticlePloS one2026

Prehabilitation before cancer surgery in the UK National Health Service: what services exist, and how do they address health inequalities?

Hilary Stewart, Xiubin Zhang, Yasemin Hirst, Laura Wareing, Lisa Ashmore, Christopher Gaffney, Charlotte Hadley, Ces Kulikowski, Jo Rycroft-Malone, Clifford Shelton and 2 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Hilary StewartLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.
Xiubin ZhangLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.
Yasemin HirstApplied Health Research Hub, University of Lancashire, Preston, Lancashire, United Kingdom.ORCID https://orcid.org/0000-0002-0167-9428
Laura WareingLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.
Lisa AshmoreLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.
Christopher GaffneyLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.ORCID https://orcid.org/0000-0001-7990-2792
Charlotte HadleyLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.ORCID https://orcid.org/0000-0003-3415-1678
Ces KulikowskiLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.
Jo Rycroft-MaloneFaculty of Health and Medicine, Lancaster University, Lancaster, Lancashire, United Kingdom.
Clifford SheltonLancaster Medical School, Lancaster University, Lancaster, Lancashire, United Kingdom.ORCID https://orcid.org/0000-0002-8438-398X
Andrew SmithDepartment of Anaesthesia, University Hospitals of Morecambe Bay, Lancaster, Lancashire, United Kingdom.
Collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify and map prehabilitation services for patients preparing for cancer surgery in the UK National Health Service (NHS) and understand how issues of accessibility and inequality are being addressed.

designA survey based on the Template for Intervention Description and Replication and criteria for high-quality, equitable prehabilitation developed as part of our broader study.

settingNational Health Service organisations in the UK.

participantsRepresentatives of prehabilitation services, who were mainly healthcare professionals. To be eligible for inclusion, services had to be part of the funded usual care pathway for patients in the NHS trust or health board and offered, referred to, or signposted by the NHS cancer care team. OUTCOMES: The primary outcome was the availability of a prehabilitation service to patients who were preparing for cancer surgery at a given NHS organisation. Where prehabilitation services existed, we collected data on service characteristics, the size and workload of the service, screening and individualised assessment for prehabilitation, interventions, addressing inequalities, and evaluation of the service.

resultsOf 152 NHS organisations which provided cancer surgery services, we received a response from 112 (74%). Of these, 73 (65%) stated that they had an eligible prehabilitation service, and 39 (35%) stated that they did not. We received detailed survey responses from 51/73 prehabilitation services (70%). These demonstrated variability across all survey domains. Most services involved physiotherapists (43; 84%) and dietitians (37; 73%), with a variety of other professions represented. Twenty-four prehabilitation services (47%) reported that they tailor initial assessments to account for patient characteristics, and most services reported that they take steps to address inequities of access, the most common being support for people who have barriers to accessing the internet (46; 90%). Only 19 prehabilitation services (37%) were in receipt of permanent funding.

conclusionsPrehabilitation provision for people preparing for cancer surgery varies widely across the UK, and this creates inequities in services. Nevertheless, prehabilitation services appear to be aware of the risk of unequal access, and are taking steps to address this. There is an opportunity to address inequalities as prehabilitation services are commissioned, developed and implemented.

Indexed as

Healthcare DisparitiesNeoplasmsPreoperative CarePreoperative ExerciseState MedicineHealth Services AccessibilityHumansUnited Kingdom

Identifiers

PMID42096417
PMCPMC13152163

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.