Evidence map›Paper›PMID 36792321›Full record

ArticleBMJ open2023

Linking electronic mental healthcare and benefits records in South London: design, procedure and descriptive outcomes.

Sharon A M Stevelink, Ava Phillips, Matthew Broadbent, Andy Boyd, Sarah Dorrington, Amelia Jewell, Ray Leal, Ioannis Bakolis, Ira Madan, Matthew Hotopf and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

12 authors.

Sharon A M StevelinkDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK sharon.stevelink@kcl.ac.uk.ORCID 0000-0002-7655-7986
Ava PhillipsDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Matthew BroadbentSouth London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK.
Andy BoydPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sarah DorringtonDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.ORCID 0000-0002-6462-1880
Amelia JewellSouth London and Maudsley Mental Health NHS Trust, NIHR Maudsley Biomedical Research Centre, London, UK.ORCID 0000-0002-0887-2159
Ray LealDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Ioannis BakolisCentre for Implementation Science, Health Services and Population Research Department, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Ira MadanDepartment of Occupational Health, Guy's and St Thomas' Hospitals NHS Trust, London, UK.
Matthew HotopfDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Nicola T FearKing's Centre for Military Health Research, Department of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.ORCID 0000-0002-5792-2925
Johnny DownsDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.ORCID 0000-0002-8061-295X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the process and outcomes of a data linkage between electronic secondary mental healthcare records from the South London and Maudsley (SLaM) NHS Foundation Trust with benefits records from the Department for Work and Pensions (DWP). We also describe the mental health and benefit profile of patients who were successfully linked.

designA deterministic linkage of routine records from health and welfare government service providers within a secure environment. SETTING AND

participantsAdults aged≥18 years who were referred to or accessed treatment at SLaM services between January 2007 and June 2019, including those who were treated as part of Improving Access to Psychological Therapies (IAPT) services between January 2008 and June 2019 (n=448 404). Benefits data from the DWP from January 2005 to June 2020. OUTCOME MEASURES: The linkage rate and associated sociodemographic, diagnostic and treatment factors. Recorded primary psychiatric diagnosis based on International Classification of Diseases (ICD)-10 codes and type of benefit receipt.

resultsA linkage rate of 92.3% was achieved. Women, younger patients and those from ethnic minority groups were less likely to be successfully linked. Patients who had subsequently died, had a recorded primary psychiatric diagnosis, had also engaged with IAPT and had a higher number of historical postcodes available were more likely to be linked. Overall, 83% of patients received benefits at some point between 2005 and 2020. Benefit receipt across the psychiatric diagnosis spectrum was high, over 80% across most ICD-10 codes.

conclusionsThis data linkage is the first of its kind in the UK demonstrating the use of routinely collected mental health and benefits data. Benefit receipt was high among patients accessing SLaM services and varied by psychiatric diagnosis. Future areas of research are discussed, including exploring the effectiveness of interventions for helping people into work and the impact of benefit reforms.

Indexed as

Mental DisordersMental Health ServicesAdultEthnicityFemaleHumansLondonMinority GroupsEpidemiologyMENTAL HEALTHPublic health

Identifiers

PMID36792321
PMCPMC9950921

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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.