Evidence map›Paper›PMID 42652345›Full record

Trial reportInternational journal of environmental research and public health2026

Supporting Sustainable Return to Work in Large Organizations: A Cluster Randomised Feasibility Trial of a Multi-Level Intervention.

Fehmidah Munir, Alice Sinclair, Oliver Davis, Jeremy Dawson, Lizzie Degerdon, Jaime Delgadillo, Umesh Kadam, Joanna Yarker

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

8 authors.

Fehmidah MunirSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough Campus, Loughborough LE11 3TU, UK.ORCID 0000-0002-5585-0243
Alice SinclairSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough Campus, Loughborough LE11 3TU, UK.ORCID 0000-0001-6934-5494
Oliver DavisRotherham, Doncaster and South Humber NHS Foundation Trust, Doncaster DN4 8QN, UK.ORCID 0000-0002-4764-3623
Jeremy DawsonInstitute of Work Psychology, Sheffield University Management School, University of Sheffield, Sheffield S10 2TN, UK.ORCID 0000-0002-9365-8586
Lizzie DegerdonRotherham, Doncaster and South Humber NHS Foundation Trust, Doncaster DN4 8QN, UK.
Jaime DelgadilloInstitute of Psychiatry, Psychology & Neuroscience, King's College London, London WC2R 2LS, UK.
Umesh KadamPublic Health and Sport Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4QJ, UK.
Joanna YarkerAffinity Health at Work, London SW12 9NW, UK.ORCID 0000-0001-6360-7350

Funding

National Institute for Health and Care Research NIHR202986
6 · The paper itself

Abstract

Long-term sickness absence is a growing public health issue, reducing workforce participation and widening health inequalities. Effective interventions must address both health and workplace factors to enable not only return-to-work but sustained employment. This study evaluated the feasibility of a multi-level workplace intervention to support sustainable RTW in large organizations. A two-arm cluster randomised feasibility trial was conducted in nine UK organizations (≥600 employees). Participants included senior leaders and HR professionals (

Indexed as

Return to WorkAdultFeasibility StudiesFemaleHumansMaleMiddle AgedSick LeaveUnited KingdomWorkplacecluster randomised trialemployerfeasibilitymanagerreturn-to-worksick leaveworker

Identifiers

PMID42652345
PMCPMC13513923

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.