Evidence map›Paper›PMID 42735904›Full record

ArticleBone & joint open2026

'Waiting poorly' for hip and knee arthroplasty - unmet needs and lack of support while waiting for surgery : findings of the multicentre WAIT-DATA study.

Conor J McCann, Nick D Clement, Christopher Gee, Jon Clarke, Phil Walmsley, Nicholas E Ohly, David Deehan, Deiary F Kader, Ciara Stevenson, Andrew J Hall and 69 more

Abstract read
In one paragraph

Article in Bone & joint open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

79 authors.

Conor J McCannSchool of Medicine, University of St Andrews, St Andrews, UK.ORCID 0000-0001-7443-4256
Nick D ClementSchool of Medicine, University of St Andrews, St Andrews, UK.ORCID 0000-0001-8792-0659
Christopher GeeDepartment of Orthopaedics, Golden Jubilee University National Hospital, Clydebank, UK.
Jon ClarkeDepartment of Orthopaedics, Golden Jubilee University National Hospital, Clydebank, UK.
Phil WalmsleySchool of Medicine, University of St Andrews, St Andrews, UK.
Nicholas E OhlyDepartment of Orthopaedics, Golden Jubilee University National Hospital, Clydebank, UK.
David DeehanDepartment of Orthopaedics, Freeman Hospital, Newcastle upon Tyne, UK.
Deiary F KaderSouth West London Elective Orthopaedic Centre, Epsom, UK.ORCID 0000-0002-8332-2296
Ciara StevensonDepartment of Orthopaedics, Musgrave Park Hospital, Belfast, UK.
Andrew J HallSchool of Medicine, University of St Andrews, St Andrews, UK.
WAIT-DATA Collaborative
Nimra Akram
Fareed Al Qusous
Almigdad Ali
Danielle Archer
Dheeraj Attarde
Megan Bates
Stuart Bell
Pragya Bhatt
Louise Bluck
Andrew Blythe
Alexander Boucher
Tracy Broadbent
Justine Burt
Ethan Caruana
Jon Clarke
Nick Clement
Andrew Coppola
Andrew Crone
Angelo David
David Deehan
Ha Phuong Do Le
Fraser EwenFraser
Christopher Gee
Catherine Gilmore
Christopher Goodland
Dariusz Gunia
Andrew Hall
Shady Hermena
George Holland
Nicholas Holloway
Lauren Hutchinson
Azka Ikram
Stuart Irvine
Andrea Jimenez
Deiary Kader
Roberty Kay
Ronan Kearney
Matt Kennedy
Elizabeth Lindsay
Harrison Loader
Emma Lunan
Panos Mastorakos
Daryl Mcauley
Carolyn McCafferty
Conor McCann
Heidi McColm
Joshua McIntyre
Nicole McLaughlin
David Munn
Jagdesh Nijjher
Esther Nyobendo
Henry O'Brien
Nicholas Ohly
Jeya Palan
Joshua Patton
Sai Pendyala
Jane Peters
Patrick Porter
Bilal Qaddoura
Muhammad Humza Qadri
Conor Rankin
Ahmed Sanalla
Sobha Singh
Karen Smith
Lauren Smith
Ciara Stevenson
Gemma Toland
Phil Walmsley

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: In socialized health systems, prolonged waiting times for hip and knee arthroplasty lead to progressive decline in patients' health-related quality of life. This multicentre study aimed to evaluate patients' experience of the information, advice, and support received during the waiting period, and to identify which groups feel least supported. Methods: This study was a multicentre prospective observational audit including 851 patients undergoing elective hip or knee arthroplasty across 14 hospitals in the UK. Participants completed a standardized questionnaire assessing satisfaction with nine domains of preoperative information and support, each rated on a five-point Likert scale. Composite scores for information and advice and support were generated, and associations with demographic, clinical, and psychosocial variables were examined using multivariable linear regression. Results: Overall satisfaction was moderate. Patients were generally well informed about their condition (mean 4.14 (SD 0.92)) and operation (mean 4.34 (SD 0.88)), but less satisfied with support for weight management (mean 3.49 (SD 0.98)), general health (mean 3.54 (SD 1.01)), and mental wellbeing (mean 3.46 (SD 1.02), p < 0.001). Older age, obesity, socioeconomic deprivation, and new physical or mental health diagnoses were associated with lower satisfaction, though most effects were small. Larger effects were seen between self-reported deterioration in health and quality of life and dissatisfaction with waiting time. Almost half of the patients reported opioid use, and most described worsening function and activity while waiting. Conclusion: Patients awaiting hip or knee arthroplasty experience substantial physical and psychological decline, compounded by limited holistic support. While procedural information is generally adequate, guidance on lifestyle, wellbeing, and self-management is lacking. The waiting period should be reframed as an active phase of care, with coordinated, multidisciplinary input and clearer responsibility among care providers to ensure patients receive appropriate support.

Identifiers

PMID42735904
PMCPMC13574517

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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.