SynthesisClinical psychology & psychotherapy
Dropout in Psychotherapy for Personality Disorders: A Systematic Review of Predictors.
Synthesis in Clinical psychology & psychotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed.
- A pilot randomized controlled trial of mentalization-based treatment and structured clinical management for outpatients with borderline personality disorder in South Korea.Borderline personality disorder and emotion dysregulation · 2026Article
- Holding the treatment frame: borderline features, personality functioning, and psychotherapy dropout in a youth mental health service.Research in psychotherapy (Milano) · 2026Article
- Evaluating a brief MBCT programme for non-suicidal self-injury in individuals with BPD: a within-subject pre-post pilot study.Borderline personality disorder and emotion dysregulation · 2026Article
- The Smart Therapy Model: a Fourth Wave framework for assessment-driven, integrative multimodal biopsychosocial psychotherapy.Frontiers in psychiatry · 2026Article
- Autonomic regulation constrains psychotherapeutic workability: a state-dependent translational model for psychotherapy and psychosomatics.Frontiers in psychiatry · 2026Article
- It takes two to tango: a qualitative meta-synthesis on processes of psychotherapy dropout from the Single Case Archive.Research in psychotherapy (Milano) · 2025Article
- Integrating Positive Schemas in Schema Therapy for Cluster C Personality Disorders in Older Adults: A Multiple Baseline Study.Clinical psychology & psychotherapyArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
introductionDropout in psychotherapy for personality disorders is a major challenge, affecting treatment efficacy and mental health care delivery. Influenced by patient characteristics, therapist factors and treatment dynamics, dropout remains prevalent. This systematic review identifies predictors of psychotherapy dropout in individuals with personality disorders to inform strategies that enhance treatment engagement.
methodA systematic search in PsycINFO, PubMed and Scopus identified 22 studies from 1976 articles. Inclusion criteria required DSM/ICD-based personality disorder assessments and dropout predictors in psychotherapy. Non-English or non-peer-reviewed studies were excluded. Screening followed PRISMA guidelines using Rayyan, and study quality was assessed with the Newcastle-Ottawa Scale (NOS).
resultsDropout rates ranged from 10.4% to 58%, depending on treatment modality and patient characteristics. Younger age, comorbid substance use disorders, emotional dysregulation, distress tolerance difficulties, childhood emotional abuse, therapist turnover and low motivation were significant predictors of dropout. Conversely, strong therapeutic alliances, mindfulness-based skills and engagement in phone coaching were associated with improved retention. Other relevant factors included low reflective functioning, lower education levels and socio-economic adversity, such as receiving disability benefits. Only one study identified low reflective functioning as a dropout predictor. Systemic factors, including treatment organization and care coordination, also played a crucial role.
conclusionsAddressing dropout requires early engagement strategies, therapist continuity and treatment flexibility. Enhancing therapeutic alliance and reflective functioning may be particularly effective in reducing dropout. Systemic improvements, such as better care coordination and accessibility, are crucial for sustaining engagement and improving psychotherapy outcomes for individuals with personality disorders. REGISTRATION: PROSPERO number: CRD42024509283.
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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.