Evidence map›Paper›PMID 39726914›Full record

ArticleFrontiers in psychiatry2024

Developing a codebook for assessing auditory hallucination complexity using mixed methods.

Igor J Pietkiewicz, Radosław Tomalski, Anna M Hełka

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Igor J PietkiewiczResearch Centre for Trauma and Dissociation, Ignatianum University in Cracow, Cracow, Poland.
Radosław TomalskiResearch Centre for Trauma and Dissociation, Ignatianum University in Cracow, Cracow, Poland.
Anna M HełkaInsititute of Psychology, SWPS University, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent years there has been a notable expansion of psychotherapeutic approaches to treat people experiencing auditory verbal hallucinations (AVH). While many psychotherapists conceptualize voices as "dissociative parts" and apply therapeutic techniques derived from the field of dissociation, research investigating AVH from this perspective is limited. Despite the acknowledgment that voices encountered in dissociative identity disorder (DID) often exhibit high complexity and autonomy, there is a critical need for assessment tools capable of exploring voice complexity across different clinical groups. Such tools hold significant potential for aiding clinicians to identify patients who may benefit more from dissociation-based therapy approaches. This study aims to operationalize the concept of voice complexity (VC) by identifying its different dimensions and indicators. Methods: Using concept mapping procedures, 12 healthcare professionals and two voice-hearers participated in brainstorming, and 24 people with clinical backgrounds performed sorting and rating tasks. Results: Seven dimensions of VC were identified: System Complexity, Content Complexity, Voice's Interest Complexity, Interaction Complexity with Voice-Hearer, Voice's Own Life, Voice Influence, and Voice's Vocal Characteristics. A codebook for assessing VC with indicators for varying levels of complexity across these dimensions was developed and can be used with the Structured Clinical Interview for Voice-Hearers. Inter-rater reliability, measured by comparing the assessments of two interview transcripts by seven raters using Kendall's Coefficient, indicated substantial agreement in one interview (W = .613) and almost perfect agreement in the second (W = .805). Discussion: The new instrument has promise as an effective tool for comparative studies exploring VC in diverse clinical and non-clinical populations, with potential implications for clinical practice and future research.

Indexed as

assessmentauditory hallucinationsconcept mappinginterview for voice-hearersmixed methodsvoice complexity

Identifiers

PMID39726914
PMCPMC11669670

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