Evidence map›Paper›PMID 37660008›Full record

ArticleBMC health services research2023

Using intervention mapping to develop evidence-based toolkits that support workers on long-term sick leave and their managers.

Veronica Varela-Mato, Holly Blake, Joanna Yarker, Kate Godfree, Guy Daly, Juliet Hassard, Caroline Meyer, Charlotte Kershaw, Steven Marwaha, Kristina Newman and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC health services research, 2023. 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
2.6field-weighted citation impact, top 10% of its field
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, 6 citations in OpenAlex.

  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

13 authors at 8 institutions in 2 countries.

Veronica Varela-MatoSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Holly BlakeSchool of Health Sciences, University of Nottingham, Nottingham, UK.
Joanna YarkerAffinity Health at Work, London, UK.
Kate GodfreeSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Guy DalyOffice of the Provost, The British University in Egypt, El Sherouk City 11837, Cairo, Egypt.
Juliet HassardSchool of Medicine, University of Nottingham, Nottingham, UK.
Caroline MeyerExecutive Office, Warwick University, Coventry, CV4 7AL, UK.
Charlotte KershawWarwick Medical School, University of Warwick, Coventry, UK.
Steven MarwahaInstitute for Mental Health, School of Psychology, University of Birmingham, Birmingham, UK.
Kristina NewmanPsychology Department, Nottingham Trent University, Nottingham, UK.
Sean RussellFaculty of Health and Life Sciences, Coventry University, Coventry, UK.
Louise ThomsonSchool of Medicine, University of Nottingham, Nottingham, UK.
Fehmidah MunirSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK. F.Munir@lboro.ac.uk.ORCID http://orcid.org/0000-0002-5585-0243
Loughborough University · GBUniversity of Nottingham · GBUniversity of Warwick · GBAffinity Water (United Kingdom) · GBBritish University in Egypt · EGCoventry University · GBNottingham Trent University · GBUniversity of Birmingham · GB

Funding

Midland Engine CPU 2640
6 · The paper itself

Abstract

backgroundManaging long-term sickness absence is challenging in countries where employers and managers have the main responsibility to provide return to work support, particularly for workers with poor mental health. Whilst long-term sick leave and return to work frameworks and guidance exist for employers, there are currently no structured return to work protocols for employers or for their workers encompassing best practice strategies to support a positive and timely return to work outcome. PURPOSE: To utilise the intervention mapping (IM) protocol as a framework to develop return to work toolkits that are underpinned by relevant behaviour change theory targeting mental health to promote a positive return to work experiensce for workers on long-term sick leave.

methodsThis paper provides a worked example of intervention mapping (IM) to develop an intervention through a six-step process to combine theory and evidence in the development of two toolkits - one designed for managers and one to be used by workers on long-term sick leave. As part of this process, collaborative planning techniques were used to develop the intervention. A planning group was set up, through which researchers would work alongside employer, worker, and mental health professional representatives to develop the toolkits. Additionally, feedback on the toolkits were sought from the target populations of workers and managers and from wider employer stakeholders (e.g., human resource specialists). The implementation and evaluation of the toolkits as a workplace intervention were also planned.

resultsTwo toolkits were designed following the six steps of intervention mapping. Feedback from the planning group (n = 5; psychologist, psychiatrist, person with previous experience of poor mental health, employer and charity worker) and participants (n = 14; employers = 3, wellbeing director = 1; human resources = 2, managers = 2, employees with previous experience of poor mental health = 5) target populations indicated that the toolkits were acceptable and much needed.

conclusionsUsing IM allowed the development of an evidence-based practical intervention, whilst incorporating the views of all the impacted stakeholder groups. The feasibility and acceptability of the toolkits and their supporting intervention components, implementation process and methods of assessment will be evaluated in a feasibility pilot randomised controlled trial.

Indexed as

Sick LeaveWorkplaceCharitiesHealth PersonnelHumansMental HealthCommunicationIntervention mappingLong-term sickness absenceMental healthReturn-to-workSupport

Identifiers

PMID37660008
PMCPMC10474744
OpenAlexW4386390793

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.