Evidence map›Paper›PMID 39314049›Full record

ArticleBJPsych open2024

Personal independence payments among people who access mental health services: results from a novel data linkage.

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 BJPsych open, 2024. 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
–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

2 citing papers in PubMed.

  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

10 authors.

Sharon A M StevelinkDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; and King's Centre for Military Health Research, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.ORCID https://orcid.org/0000-0002-7655-7986
Ioannis BakolisNIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK; Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; and Centre for Implementation Science, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.ORCID https://orcid.org/0000-0002-4800-1630
Sarah DorringtonDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; and NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-6462-1880
Johnny DownsDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; and NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
Ray LealDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; and King's Centre for Military Health Research, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Ira MadanDepartment of Occupational Health, Guy's and St Thomas' Hospitals NHS Trust, London, UK.
Ava PhillipsDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Ben GeigerCentre for Society and Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
Matthew HotopfDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; and NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/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, UK; and Academic Department of Military Mental Health, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.ORCID https://orcid.org/0000-0002-5792-2925

Funding

Economic and Social Research Council ES/S012567/1National Institute for Health and Care Research NIHR 300592NIHR Maudsley Biomedical Research Centre N/A
6 · The paper itself

Abstract

backgroundPersonal independence payment (PIP) is a benefit that covers additional daily living costs people may incur from a long-term health condition or disability. Little is known about PIP receipt and associated factors among people who access mental health services, and trends over time. Individual-level data linking healthcare records with administrative records on benefits receipt have been non-existent in the UK.

aimsTo explore how PIP receipt varies over time, including PIP type, and its association with sociodemographic and diagnostic patient characteristics among people who access mental health services.

methodA data-set was established by linking electronic mental health records from the South London and Maudsley NHS Foundation Trust with administrative records from the Department for Work and Pensions.

resultsOf 143 714 working-age patients, 37 120 (25.8%) had received PIP between 2013 and 2019, with PIP receipt steadily increasing over time. Two in three patients (63.2%) had received both the daily living and mobility component. PIP receipt increased with age. Those in more deprived areas were more likely to receive PIP. The likelihood of PIP receipt varied by ethnicity. Patients diagnosed with a severe mental illness had 1.48 odds (95% CI 1.42-1.53) of having received PIP, compared with those with a different psychiatric diagnosis.

conclusionsOne in four people who accessed mental health services had received PIP, with higher levels seen among those most likely in need, as indicated by a severe mental illness diagnosis. Future research using this data-set could explore the average duration of PIP receipt in people who access mental health services, and re-assessment patterns by psychiatric diagnosis.

Indexed as

Big dataepidemiologymental health servicesregister-based epidemiologyregister-based study

Identifiers

PMID39314049
PMCPMC11457205

What OpenQuestion holds

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LicenceCC BY
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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.