Evidence map›Paper›PMID 39856775›Full record

ArticleBMC psychology2025

Progress in mentalizing ability among people with psychosis through dialogic literary gatherings.

Aitana Fernández-Villardón, Alfonso Sáez de Ibarra, Ana Domínguez-Panchón, Rocío García-Carrión

Abstract read
In one paragraph

Article in BMC psychology, 2025. 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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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

4 authors.

Aitana Fernández-VillardónFaculty of Education and Sports, University of Deusto, Bilbao, Spain.
Alfonso Sáez de IbarraDepartment of Clinical Psychology, Aita Menni Hospital, Arrasate, Spain.
Ana Domínguez-PanchónDepartment of Clinical Psychology, Aita Menni Hospital, Arrasate, Spain.
Rocío García-CarriónFaculty of Education and Sports, University of Deusto, Bilbao, Spain. rocio.garcia@deusto.es.

Funding

Ministerio de Ciencia e Innovación PRE2018-086876
6 · The paper itself

Abstract

backgroundPeople with psychosis often experience a fragmented sense of self, making it difficult to integrate perceptions, memories, thoughts, and emotions related to themselves and others. Enhancing mentalization processes and fostering reflection are crucial for comprehensive recovery. As these processes are naturally developed through meaningful interactions and dialogue, incorporating a dialogic approach into the treatment of psychotic disorders may significantly support recovery.

methodsThis study examines the impact of Dialogic Literary Gatherings (DLGs) on the ability of mentalizing in individuals with psychosis. A quasi-experimental mixed-methods study was conducted with 23 participants (6 women and 17 men) diagnosed with psychosis. Over five months, participants engaged in 18 DLG sessions. Mentalizing ability was assessed using the Mentalization Scale (MentS), and qualitative data included interviews (n = 2) and focus groups (n = 3), to explore changes in mentalization.

resultsParticipants reported an increase in mentalizing towards others and toward him or herself, and in motivation to mentalize. Dialogues during DLGs fostered empathy, awareness of individual differences, and deeper engagement with others' emotions. Besides, sharing feelings in this dialogic environment enabled participants to reflect on past experiences and find purpose in life. Consistently, patients reported that these dialogues provided a platform for expressing emotions, re-evaluating life perspectives, and achieving greater self-awareness.

conclusionsThis study highlights Dialogic Literary Gatherings as a valuable tool for enhancing the ability to mentalize in clinical populations, offering a complementary approach to traditional psychotherapeutic interventions for individuals with psychosis.

Indexed as

MentalizationPsychotic DisordersAdultEmotionsFemaleHumansMaleMiddle AgedYoung AdultDialogic Literary GatheringsDialogueMentalizationPsychosisSchizophreniaTreatment

Identifiers

PMID39856775
PMCPMC11761782

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LicenceCC BY-NC-ND
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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.