Evidence map›Paper›PMID 25468503›Full record

ArticleBMJ open2014

Developing a new model for patient recruitment in mental health services: a cohort study using Electronic Health Records.

Felicity Callard, Matthew Broadbent, Mike Denis, Matthew Hotopf, Murat Soncul, Til Wykes, Simon Lovestone, Robert Stewart

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

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  4. Increasing participation of people with thought disorder in clinical research.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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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

8 authors at 5 institutions in 1 country.

Felicity CallardCentre for Medical Humanities and Department of Geography, Durham University, Durham, UK.ORCID http://orcid.org/0000-0002-5350-1963
Matthew BroadbentKing's College London, SLaM Biomedical Research Centre Nucleus, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Mike DenisOxford Academic Health Science Network (AHSN), Oxford, UK.
Matthew HotopfDepartment of Psychological Medicine, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Murat SonculSouth London and Maudsley NHS Foundation Trust, London, UK.
Til WykesDepartment of Psychology, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
Simon LovestoneDepartment of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK.
Robert StewartKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
King's College London · GBDurham University · GBOxford Academic Health Science Network · GBSouth London and Maudsley NHS Foundation Trust · GBWarneford Hospital · GB

Funding

Wellcome Trust 086049
6 · The paper itself

Abstract

objectivesTo develop a new model for patient recruitment that harnessed the full potential of Electronic Health Records (EHRs). Gaining access to potential participants' health records to assess their eligibility for studies and allow an approach about participation ('consent for contact') is ethically, legally and technically challenging, given that medical data are usually restricted to the patient's clinical team. The research objective was to design a model for identification and recruitment to overcome some of these challenges as well as reduce the burdensome (and/or time consuming) gatekeeper role of clinicians in determining who is appropriate or not to participate in clinical research.

settingLarge secondary mental health services context, UK.

participants2106 patients approached for 'consent for contact'. All patients in different services within the mental health trust are gradually and systematically being approached by a member of the clinical care team using the 'consent for contact' model. There are no exclusion criteria. PRIMARY AND SECONDARY OUTCOME MEASURES: Provision of 'consent for contact'.

resultsA new model (the South London and Maudsley NHS Trust Consent for Contact model (SLaM C4C)) for gaining patients' consent to contact them about research possibilities, which is built around a de-identified EHR database. The model allows researchers to contact potential participants directly. Of 2106 patients approached by 25 October 2013, nearly 3 of every 4 gave consent for contact (1560 patients; 74.1%).

conclusionsThe SLaM C4C model offers an effective way of expediting recruitment into health research through using EHRs. It reduces the gatekeeper function of clinicians; gives patients greater autonomy in decisions to participate in research; and accelerates the development of a culture of active research participation. More research is needed to assess how many of those giving consent for contact subsequently consent to participate in particular research studies.

Indexed as

Mental Health ServicesModels, OrganizationalPatient SelectionAdolescentAdultAgedBiomedical ResearchChildChild, PreschoolCohort StudiesElectronic Health RecordsFemaleHumansInfantInfant, NewbornMaleMENTAL HEALTHPSYCHIATRY

Identifiers

PMID25468503
PMCPMC4256538
OpenAlexW2100053584

What OpenQuestion holds

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LicenceCC BY
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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.