Evidence map›Paper›PMID 35577470›Full record

ArticleBMJ open2022

Managing Unusual Sensory Experiences in People with First-Episode Psychosis (MUSE FEP): a study protocol for a single-blind parallel-group randomised controlled feasibility trial.

Robert Dudley, Guy Dodgson, Stephanie Common, Lucy O'Grady, Florence Watson, Christopher Gibbs, Bronia Arnott, Charles Fernyhough, Ben Alderson-Day, Emmanuel Ogundimu and 3 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

13 authors.

Robert DudleyNewcastle University Population Health Sciences Institute, Newcastle upon Tyne, UK rob.dudley@ncl.ac.uk.ORCID 0000-0002-3765-9998
Guy DodgsonEarly Intervention in Psychosis service, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, UK.
Stephanie CommonEarly Intervention in Psychosis, Tees Esk and Wear Valley NHS Foundation Trust, Darlington, UK.
Lucy O'GradyEarly Intervention in Psychosis service, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, UK.
Florence WatsonResearch and Development, Tees Esk and Wear Valley NHS Foundation Trust, Darlington, UK.
Christopher GibbsEarly Intervention in Psychosis service, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, UK.
Bronia ArnottNewcastle University Population Health Sciences Institute, Newcastle upon Tyne, UK.
Charles FernyhoughDepartment of Psychology, University of Durham, Durham, UK.
Ben Alderson-DayDepartment of Psychology, University of Durham, Durham, UK.
Emmanuel OgundimuDepartment of Mathematical Sciences, Univeristy of Durham, Durham, UK.
Ehsan KharatikoopaeiDepartment of Mathematical Sciences, Univeristy of Durham, Durham, UK.
Victoria PattonDepartment of Psychology, University of Durham, Durham, UK.
Charlotte AynsworthEarly Intervention in Psychosis service, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, UK.

Funding

Department of Health
6 · The paper itself

Abstract

introductionHallucinations (hearing or seeing things that others do not) are a common feature of psychosis, causing significant distress and disability. Existing treatments such as cognitive-behavioural therapy for psychosis (CBTp) have modest benefits, and there is a lack of CBTp-trained staff. Shorter, targeted treatments that focus on specific symptoms delivered by a non-specialist workforce could substantially increase access to treatment.Managing Unusual Sensory Experiences (MUSE) explains why people have hallucinations and helps the person to develop and use coping strategies to reduce distress. MUSE focuses only on hallucinations, and treatment is short (four to six, 1-hour sessions per week). It is a digital intervention, run on National Health Service (NHS) laptops, which provides information about hallucinations in an engaging way, using audio, video and animated content. Crucially, it is designed for use by non-specialist staff like community psychiatric nurses. METHODS AND ANALYSIS: The study is a two-arm feasibility randomised controlled trial comparing MUSE and treatment as usual (TAU) (n=40) to TAU alone (n=40), recruiting across two NHS Trusts, using 1:1 allocation and blind assessments before and after treatment (2 months) and at follow-up (3 months). Quantitative information on recruitment rates, adherence and completion of outcome assessments will be collected. Qualitative interviews will capture service users' experience of therapy and clinicians' experiences of the training and supervision in MUSE. Clinicians will also be asked about factors affecting uptake, adherence and facilitators/barriers to implementation. Analyses will focus on feasibility outcomes and provide initial estimates of intervention effects. Thematic analysis of the qualitative interviews will assess the acceptability of the training, intervention and trial procedures. ETHICS AND DISSEMINATION: The trial has received NHS Ethical and Health Research Authority approval. Findings will be disseminated directly to participants and services, as well as through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER: ISRCTN16793301.

Indexed as

AlprostadilPsychotic DisordersFeasibility StudiesHallucinationsHumansRandomized Controlled Trials as TopicSingle-Blind MethodState MedicineAlprostadilAdult psychiatryClinical trialsSchizophrenia & psychotic disorders

Identifiers

PMID35577470
PMCPMC9114953

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.