Evidence map›Paper›PMID 38902034›Full record

ArticleJournal of epidemiology and community health2024

Universal Credit receipt among working-age patients who are accessing specialist mental health services: results from a novel data linkage study.

Sharon A M Stevelink, Ioannis Bakolis, Sarah Dorrington, Johnny Downs, Ray Leal, Ira Madan, Ava Phillips, Ben Geiger, Matthew Hotopf, Nicola T Fear

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2024. 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. 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

10 authors.

Sharon A M StevelinkDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK sharon.stevelink@kcl.ac.uk.ORCID 0000-0002-7655-7986
Ioannis BakolisSouth London and Maudsley NHS Foundation Trust, NIHR Maudsley Biomedical Research Centre, London, UK.ORCID 0000-0002-4800-1630
Sarah DorringtonDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-6462-1880
Johnny DownsDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Ray LealDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Ira MadanDepartment of Occupational Health, Guy's and St Thomas' Hospitals NHS Trust, London, UK.ORCID 0000-0003-2200-7329
Ava PhillipsDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Ben GeigerCentre for Society and Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0003-0341-3532
Matthew HotopfDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-3980-4466
Nicola T FearKing's Centre for Military Health Research, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-5792-2925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2013, Universal Credit (UC) was introduced by the UK Government. Understanding of how UC provision is allocated among people with mental disorders, and its intersection with protected characteristics is limited. This study aimed to explore (1) how UC receipt, including UC conditionality regime, varied among users of specialist mental health services between 2013 and 2019 and (2) associations between sociodemographic and diagnostic patient characteristics and UC receipt.

methodsWorking-age individuals who had accessed specialist mental health services were included if they had their mental health record data successfully linked with administrative benefits data. Associations between sociodemographic, diagnostic patient characteristics and UC receipt were explored using logistic regression models.

resultsOf the 143 715 patients, 26.9% had received UC between 2013 and 2019. Four in five patients were allocated to the searching for work conditionality regime during their time on UC. Females were less likely to have received UC (adjusted OR (AOR) 0.87, 95% CI 0.85 to 0.89) than males, and UC receipt decreased with age. Black patients (AOR 1.39, 95% CI 1.34 to 1.44) and patients from mixed and multiple ethnic backgrounds (AOR 1.27, 95% CI 1.18 to 1.38) had a higher likelihood of UC receipt than White patients. UC receipt was lower among patients diagnosed with severe mental illness compared with other psychiatric diagnoses (AOR 0.74, 95% CI 0.71 to 0.77).

conclusionOne in four specialist mental health service users had received UC and a large majority were subject to conditionality. The temporality of UC conditionality and mental health service presentation needs further exploration.

Indexed as

Health Services AccessibilityMental DisordersMental Health ServicesAdolescentAdultFemaleHumansInformation Storage and RetrievalMaleMiddle AgedUnited KingdomYoung AdultEPIDEMIOLOGYHEALTH SERVICESMENTAL HEALTHPOLICYPUBLIC HEALTH

Identifiers

PMID38902034
PMCPMC11347967

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Registered trials

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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.