Evidence map›Paper›PMID 37559917›Full record

ArticleFrontiers in psychiatry2023

The voice characterisation checklist: psychometric properties of a brief clinical assessment of voices as social agents.

Clementine J Edwards, Oliver Owrid, Lucy Miller, Hassan Jafari, Richard Emsley, Mar Rus-Calafell, Thomas K J Craig, Moya Clancy, Hamish McLeod, Miriam Fornells-Ambrojo and 7 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

17 authors.

Clementine J EdwardsInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Oliver OwridInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Lucy MillerInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Hassan JafariInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Richard EmsleyInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Mar Rus-CalafellMental Health Research and Treatment Centre, Faculty of Psychology, Ruhr-Universität Bochum, Bochum, Germany.
Thomas K J CraigInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Moya ClancyUniversity of Glasgow, Glasgow, United Kingdom.
Hamish McLeodUniversity of Glasgow, Glasgow, United Kingdom.
Miriam Fornells-AmbrojoUniversity College London, London, United Kingdom.
Jeffrey McDonnellUniversity College London, London, United Kingdom.
Alice MontagueUniversity College London, London, United Kingdom.
Mark HuckvaleUniversity College London, London, United Kingdom.
Sandra BucciSchool of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom.
Gillian HaddockSchool of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom.
Philippa GaretyInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Thomas WardInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: There is growing interest in tailoring psychological interventions for distressing voices and a need for reliable tools to assess phenomenological features which might influence treatment response. This study examines the reliability and internal consistency of the Voice Characterisation Checklist (VoCC), a novel 10-item tool which assesses degree of voice characterisation, identified as relevant to a new wave of relational approaches. Methods: The sample comprised participants experiencing distressing voices, recruited at baseline on the AVATAR2 trial between January 2021 and July 2022 ( Results: The majority of participants reported some degree of voice personification (94%) with high endorsement of voices as distinct auditory experiences (87%) with basic attributes of gender and age (82%). While most identified a voice intention (75%) and personality (76%), attribution of mental states (35%) to the voice ('What are they thinking?') and a known historical relationship (36%) were less common. The internal consistency of the VoCC was acceptable (10 items, α = 0.71). IRR analysis indicated acceptable to excellent reliability at the item-level for 9/10 items and moderate agreement between raters' global (binary) classification of more vs. less highly characterised voices, κ = 0.549 (95% CI, 0.240-0.859), Conclusion: The VoCC is a reliable and internally consistent tool for assessing voice characterisation and will be used to test whether voice characterisation moderates treatment outcome to AVATAR therapy. There is potential wider utility within clinical trials of other relational therapies as well as routine clinical practice.

Indexed as

auditory hallucinationcharacterisationphenomenologypsychosisvoice-hearing

Identifiers

PMID37559917
PMCPMC10408443

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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.