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Record W4410958224 · doi:10.1037/per0000729

Psychoeducational interventions for borderline personality disorder: A scoping review.

2025· article· en· W4410958224 on OpenAlexaff
Nicolás Labbé, Catalina Núñez, Ronan Zimmermann, Alex Behn

Bibliographic record

VenuePersonality Disorders Theory Research and Treatment · 2025
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsChild, Adolescent and Family Mental Health
FundersFondation BotnarPontificia Universidad Católica de ChileAgenția Națională pentru Cercetare și Dezvoltare
KeywordsPsychologyBorderline personality disorderPsychotherapistPsychological interventionClinical psychologyPersonalityPsychoeducationPsychiatryPsychoanalysis

Abstract

fetched live from OpenAlex

Psychoeducation, delivering up-to-date information about mental illness is crucial for supporting patients' recovery. While recognized for various disorders, its role in borderline personality disorder (BPD) lacks review. This study synthesizes the current evidence about psychoeducational interventions for BPD. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, this scoping review consulted databases (PubMed, PsychINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, and Información Científica y Técnica en Salud de América Latina y el Caribe), and grey literature (ProQuest Dissertations and Theses Global and Google Scholar). A Complementary search (contacting relevant researchers and including relevant references from included articles) was included. Two reviewers screened and extracted the data using the Template for Intervention Description and Replication checklist. Seven studies were analyzed, and positive effects were found on diverse outcomes: BPD symptoms, coping strategies, well-being, communication, quality of life, social functioning, perceived stress, mental health symptoms, and stigma. Psychoeducational interventions for BPD can help people who experience BPD to optimize their recovery process. However, replication and improvements are to yield sustained effects and reach more to this population. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.134
GPT teacher head0.518
Teacher spread0.384 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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