Evidence map›Paper›PMID 29579109›Full record

ArticlePloS one2018

Using data linkage to electronic patient records to assess the validity of selected mental health diagnoses in English Hospital Episode Statistics (HES).

Katrina Alice Southworth Davis, Oliver Bashford, Amelia Jewell, Hitesh Shetty, Robert J Stewart, Cathie L M Sudlow, Matthew Hugo Hotopf

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 61 citations in OpenAlex.

  1. Big data and psychiatry: advances, constraints and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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  5. Community-Acquired Staphylococcus aureus Bacteremia Among People Who Inject Drugs: A National Cohort Study in England, 2017-2020.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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  6. Influence of cognitive reserve on risk of depression and subsequent dementia: A large community-based longitudinal study.European psychiatry : the journal of the Association of European Psychiatrists · 2024
    Article
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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

7 authors at 3 institutions in 1 country.

Katrina Alice Southworth DavisKing's College London, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, London, United Kingdom.ORCID 0000-0001-5945-4646
Oliver BashfordSouth London and Maudsley NHS Foundation Trust, National Institute for Health Research Biomedical Research Centre, De Crespigny Park, Denmark Hill, London, United Kingdom.
Amelia JewellSouth London and Maudsley NHS Foundation Trust, National Institute for Health Research Biomedical Research Centre, De Crespigny Park, Denmark Hill, London, United Kingdom.
Hitesh ShettySouth London and Maudsley NHS Foundation Trust, National Institute for Health Research Biomedical Research Centre, De Crespigny Park, Denmark Hill, London, United Kingdom.
Robert J StewartKing's College London, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, London, United Kingdom.
Cathie L M SudlowUK Biobank and Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Matthew Hugo HotopfKing's College London, Department of Psychological Medicine, Institute of Psychiatry Psychology and Neuroscience, London, United Kingdom.
King's College London · GBSouth London and Maudsley NHS Foundation Trust · GBUK Biobank · GB

Funding

Medical Research Council MC_PC_17214Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundAdministrative data can be used to support research, such as in the UK Biobank. Hospital Episode Statistics (HES) are national data for England that include contain ICD-10 diagnoses for inpatient mental healthcare episodes, but the validity of these diagnoses for research purposes has not been assessed.

methods250 peoples' HES records were selected based on a HES recorded inpatient stay at the South London and Maudsley NHS Foundation Trust with a diagnosis of schizophrenia, a wider schizophrenia spectrum disorder, bipolar affective disorder or unipolar depression. A gold-standard research diagnosis was made using Clinical Records Interactive Search pseudonymised electronic patient records using, and the OPCRIT+ algorithm.

resultsPositive predictive value at the level of lifetime psychiatric disorder was 100%, and at the level of lifetime diagnosis in the four categories of schizophrenia, wider schizophrenia spectrum, bipolar or unipolar depression was 73% (68-79). Agreement varied by diagnosis, with schizophrenia having the highest PPV at 90% (80-96). Each person had an average of five psychiatric HES records. An algorithm that looked at the last recorded psychiatric diagnosis led to greatest overall agreement with the research diagnosis. DISCUSSION: For people who have a HES record from a psychiatric admission with a diagnosis of schizophrenia spectrum disorder, bipolar affective disorder or unipolar depression, HES records appear to be a good indicator of a mental disorder, and can provide a diagnostic category with reasonable certainty. For these diagnoses, HES records can be an effective way of ascertaining psychiatric diagnosis.

Indexed as

Electronic Health RecordsInformation Storage and RetrievalAgedAlgorithmsBipolar DisorderDepressive DisorderEnglandFemaleHospitalsHumansMaleMiddle AgedPredictive Value of TestsRegistriesSchizophrenia

Identifiers

PMID29579109
PMCPMC5868851
OpenAlexW2791844079

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.