Evidence map›Paper›PMID 26296562›Full record

Trial reportThe lancet. Psychiatry2015

Clinical effectiveness and cost-effectiveness of tailored intensive liaison between primary and secondary care to identify individuals at risk of a first psychotic illness (the LEGs study): a cluster-randomised controlled trial.

Jesus Perez, Huajie Jin, Debra A Russo, Jan Stochl, Michelle Painter, Gill Shelley, Erica Jackson, Carolyn Crane, Jonathan P Graffy, Tim J Croudace and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in The lancet. Psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Tailored interventions to address determinants of practice.The Cochrane database of systematic reviews · 2026
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  4. Interventions for prodromal stage of psychosis.The Cochrane database of systematic reviews · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Jesus PerezCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Department of Psychiatry, University of Cambridge, Cambridge, UK; National Institute of Health Research Collaboration for Leadership in Applied Health Research and Care East of England (CLAHRC-EoE), Cambridge, UK.
Huajie JinCentre for the Economics of Mental and Physical Health, King's College London, London, UK.
Debra A RussoCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Department of Psychiatry, University of Cambridge, Cambridge, UK.
Jan StochlCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Department of Psychiatry, University of Cambridge, Cambridge, UK; Department of Kinanthropology, Charles University, Prague, Czech Republic; National Institute of Health Research Collaboration for Leadership in Applied Health Research and Care East of England (CLAHRC-EoE), Cambridge, UK.
Michelle PainterCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.
Gill ShelleyCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.
Erica JacksonCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK.
Carolyn CraneCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Department of Psychiatry, University of Cambridge, Cambridge, UK.
Jonathan P GraffyPrimary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Tim J CroudaceSchool of Nursing and Midwifery, Social Dimensions of Health Institute, University of Dundee, Dundee, Scotland.
Sarah ByfordCentre for the Economics of Mental and Physical Health, King's College London, London, UK.
Peter B JonesCAMEO Early Intervention Services, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK; Department of Psychiatry, University of Cambridge, Cambridge, UK; National Institute of Health Research Collaboration for Leadership in Applied Health Research and Care East of England (CLAHRC-EoE), Cambridge, UK. Electronic address: pbj21@cam.ac.uk.

Funding

Department of Health RP-PG-0606-1335Medical Research Council MC_PC_13042Medical Research Council MR/K006665/1
6 · The paper itself

Abstract

backgroundGeneral practitioners are usually the first health professionals to be contacted by people with early signs of psychosis. We aimed to assess whether increased liaison between primary and secondary care improves the clinical effectiveness and cost-effectiveness of detection of people with, or at high risk of developing, a first psychotic illness.

methodsOur Liaison and Education in General Practices (LEGs) study was a cluster-randomised controlled trial of primary care practices (clusters) in Cambridgeshire and Peterborough, UK. Consenting practices were randomly allocated (1:1) to a 2 year low-intensity intervention (a postal campaign, consisting of biannual guidelines to help identify and refer individuals with early signs of psychosis) or a high-intensity intervention, which additionally included a specialist mental health professional who liaised with every practice and a theory-based educational package. Practices were not masked to group allocation. Practices that did not consent to be randomly assigned comprised a practice-as-usual (PAU) group. The primary outcome was number of referrals of patients at high risk of developing psychosis to the early intervention service per practice site. New referrals were assessed clinically and stratified into those who met criteria for high risk or first-episode psychotic illness (FEP; together: psychosis true positives), and those who did not fulfil such criteria for psychosis (false positives). Referrals from PAU practices were also analysed. We assessed cost-effectiveness with decision analytic modelling in terms of the incremental cost per additional true positive identified. The trial is registered at the ISRCTN registry, number ISRCTN70185866.

findingsBetween Dec 22, 2009, and Sept 7, 2010, 54 of 104 eligible practices provided consent and between Feb 16, 2010, and Feb 11, 2011, these practices were randomly allocated to interventions (28 to low intensity and 26 to high intensity); the remaining 50 practices comprised the PAU group. Two high-intensity practices were excluded from the analysis. In the 2 year intervention period, high-intensity practices referred more FEP cases than did low-intensity practices (mean 1.25 [SD 1.2] for high intensity vs 0.7 [0.9] for low intensity; incidence rate ratio [IRR] 1.9, 95% CI 1.05-3.4, p=0.04), although the difference was not statistically significant for individuals at high risk of psychosis (0.9 [1.0] vs 0.5 [1.0]; 2.2, 0.9-5.1, p=0.08). For high risk and FEP combined, high-intensity practices referred both more true-positive (2.2 [1.7] vs 1.1 [1.7]; 2.0, 1.1-3.6, p=0.02) and false-positive (2.3 [2.4] vs 0.9 [1.2]; 2.6, 1.3-5.0, p=0.005) cases. Referral patterns did not differ between low-intensity and PAU practices. Total cost per true-positive referral in the 2 year follow-up was £26,785 in high-intensity practices, £27,840 in low-intensity practices, and £30,007 in PAU practices.

interpretationThis intensive intervention to improve liaison between primary and secondary care for people with early signs of psychosis was clinically and cost effective.

fundingUK National Institute for Health Research.

Indexed as

AdolescentAdultCluster AnalysisCost-Benefit AnalysisHumansPrimary Health CarePsychotic DisordersRisk AssessmentSecondary Health CareTreatment OutcomeYoung Adult

Identifiers

PMID26296562
PMCPMC4641188

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.