Evidence map›Paper›PMID 27114210›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2016

Cardiovascular disease treatment among patients with severe mental illness: a data linkage study between primary and secondary care.

Charlotte Woodhead, Mark Ashworth, Matthew Broadbent, Felicity Callard, Matthew Hotopf, Peter Schofield, Murat Soncul, Robert J Stewart, Max J Henderson

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Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Identifying and managing functional cardiac symptoms.Clinical medicine (London, England) · 2021
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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

9 authors.

Charlotte WoodheadKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London.
Mark AshworthKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London.
Matthew BroadbentHead of information governance, South London and Maudsley NHS Foundation Trust, London.
Felicity CallardReader in social science for medical humanities, Durham University, Centre for Medical Humanities, Durham.
Matthew HotopfKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London.
Peter SchofieldKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London.
Murat SonculHead of information governance, South London and Maudsley NHS Foundation Trust, London.
Robert J StewartKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London.
Max J HendersonKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London.

Funding

Medical Research Council MR/J013471/1Wellcome Trust
6 · The paper itself

Abstract

backgroundSuboptimal treatment of cardiovascular diseases (CVD) among patients with severe mental illness (SMI) may contribute to physical health disparities.

aimTo identify SMI characteristics associated with meeting CVD treatment and prevention guidelines. DESIGN AND

settingPopulation-based electronic health record database linkage between primary care and the sole provider of secondary mental health care services in south east London, UK.

methodCardiovascular disease prevalence, risk factor recording, and Quality and Outcomes Framework (QOF) clinical target achievement were compared among 4056 primary care patients with SMI whose records were linked to secondary healthcare records and 270 669 patients without SMI who were not known to secondary care psychiatric services, using multivariate logistic regression modelling. Data available from secondary care records were then used to identify SMI characteristics associated with QOF clinical target achievement.

resultsPatients with SMI and with coronary heart disease and heart failure experienced reduced prescribing of beta blockers and angiotensin-converting enzyme inhibitor/angiotensin receptor blockers (ACEI/ARB). A diagnosis of schizophrenia, being identified with any indicator of risk or illness severity, and being prescribed with depot injectable antipsychotic medication was associated with the lowest likelihood of prescribing.

conclusionLinking primary and secondary care data allows the identification of patients with SMI most at risk of undertreatment for physical health problems.

Indexed as

Primary Health CareSecondary Health CareAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAntipsychotic AgentsCardiovascular DiseasesComorbidityCross-Sectional StudiesElectronic Health RecordsFemaleHumansInformation Storage and RetrievalLondonMaleMental DisordersMiddle AgedAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAntipsychotic Agentscardiovascular diseasesdata linkagehealth inequalitiesprimary health carepsychoses

Identifiers

PMID27114210
PMCPMC4871302

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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.