Evidence map›Paper›PMID 41567341›Full record

Observational studyPain research & management2026

Pain Science Education for People With Persistent Pain on NHS Waiting Lists: A Mixed Methods Study.

Mankelow J, Ryan C G, Stanton T R, Pell R, Varghese V, Martin D

Abstract readObservational Study
In one paragraph

Observational study in Pain research & management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

6 authors.

Mankelow JSchool of Health and Life Sciences, Teesside University, Middlesbrough, UK, tees.ac.uk.ORCID https://orcid.org/0000-0001-9584-991X
Ryan C GSchool of Health and Life Sciences, Teesside University, Middlesbrough, UK, tees.ac.uk.ORCID https://orcid.org/0000-0001-5864-4325
Stanton T RPain Education Team to Advance Learning (PETAL) Collaboration, Adelaide, Australia, tees.ac.uk.ORCID https://orcid.org/0000-0001-7106-4456
Pell RFlippin' Pain Campaign Director, Cora Health, Newcastle upon Tyne, UK.
Varghese VNIHR Applied Research Collaboration, NIHR Applied Research Collaboration for the North East and North Cumbria, Newcastle upon Tyne, UK.
Martin DNIHR Applied Research Collaboration, NIHR Applied Research Collaboration for the North East and North Cumbria, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-4538-5739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Persistent pain is a leading cause of disability worldwide. Long waiting times can adversely affect outcomes and impede effective management; thus, waiting list-targeted interventions may be beneficial. Objective: To explore the perceptions of people with persistent pain receiving pain science education (PSE) online, en masse, whilst on an NHS waiting list. Methods: A mixed-methods observational study of people with persistent pain on NHS waiting lists was undertaken. PSE-informed webinars were delivered by Results: Participants' ( Conclusion: Participants on NHS waiting lists with persistent pain predominantly found PSE webinars helpful. It shifted their understanding of pain, and they intended to undertake self-management activities in line with evidence-based care. Appropriately powered RCTs are warranted to robustly investigate the effectiveness of en masse PSE for patients awaiting care.

Indexed as

Chronic PainPain ManagementPatient Education as TopicWaiting ListsAdultAgedFemaleHumansMaleMiddle AgedState MedicineSurveys and Questionnairespain science educationwaiting listwebinars

Identifiers

PMID41567341
PMCPMC12817197

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.