Evidence map›Paper›PMID 30368452›Full record

ArticleBMJ open2018

Age, health and other factors associated with return to work for those engaging with a welfare-to-work initiative: a cohort study of administrative data from the UK's Work Programme.

Judith Brown, Srinivasa Vittal Katikireddi, Alastair H Leyland, Ronald W McQuaid, John Frank, Ewan B Macdonald

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Judith BrownHealthy Working Lives Group, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Alastair H LeylandMRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
Ronald W McQuaidManagement, Work and Organisation, University of Stirling, Stirling, UK.
John FrankUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK.
Ewan B MacdonaldHealthy Working Lives Group, Institute of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.

Funding

Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU13Chief Scientist Office SPHSU15Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15Medical Research Council MR/K023209/1Medical Research Council MR/L006367/1
6 · The paper itself

Abstract

objectivesTo investigate the role of individual factors (including age, health and personal circumstances) and external factors associated with clients having a job start while engaging with the Work Programme and variations by benefit type.

settingThe UK Government's main return to work initiative (The Work Programme) in Scotland.

designPiecewise Poisson regression to calculate incident rate ratios using administrative data from 2013 to 2016 to identify factors associated with job start.

participants4322 Employment and Support Allowance (ESA) clients not in work due to poor health and 8996 Jobseeker's Allowance (JSA) clients, aged 18-64 years, referred to the Work Programme between April 2013 and July 2014.

main outcome measuresStarting a job and the time to first job start after entering the Work Programme.

resultsJSA clients (62%) were more likely to return to work (RTW) than ESA clients (20%). There is a strong negative relationship between age and the predicted probability of having a job start during the 2-year engagement with the programme for both JSA and ESA clients. JSA clients were most likely to RTW in the first 3 months, while for ESA clients the predicted probability of having a first job start was fairly constant over the 2 years. Health, including the number of health conditions, length of unemployment, client perception of job start and other individual factors were associated with job starts for both groups.

conclusionsAge plays an important role in influencing RTW; however, important potentially modifiable factors include the length of unemployment, the management of multimorbidity and the individual's perception of the likelihood of job start. Future welfare-to-work programmes may be improved by providing age-specific interventions which focus on health and biopsychosocial factors to enable more people to realise the potential health benefits of RTW.

Indexed as

AttitudeAdolescentAdultAge FactorsFemaleHumansLongitudinal StudiesMaleMiddle AgedRegression AnalysisReturn to WorkScotlandUnemploymentUnited KingdomYoung Adultageinghealthreturn to workunemploymentvocational rehabilitation

Identifiers

PMID30368452
PMCPMC6224745

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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.