Is peer support beneficial for individuals with borderline personality disorder? Exploring its potential and challenges – a scoping review
Bibliographic record
Abstract
Background: Borderline Personality Disorder (BPD) is associated with profound emotional dysregulation, interpersonal difficulties, and a heightened risk of suicide. Although psychotherapy remains the first-line treatment, systemic limitations such as resource shortages and high dropout rates necessitate exploration of alternative or complementary interventions. In this context, peer support, defined as assistance provided by individuals with lived experience of mental health challenges, has gained interest as a promising complement or alternative to conventional care. Despite its growing use across mental health contexts, its relevance, effectiveness, and limitations remain poorly understood for individuals with BPD. Objective: This scoping review aims to synthesize the current literature on peer support interventions for individuals with BPD, focusing on their benefits, risks, and implementation challenges. Methods: Following the Joanna Briggs Institute (JBI) methodology and PRISMA-ScR guidelines, a comprehensive search was conducted across six databases (Medline, PsycINFO, EMBASE, Cochrane Library, CINAHL, and Google Scholar) and grey literature sources. The inclusion criteria were defined using the Population-Concept-Context (PCC) framework. Eleven studies published between 2019 and 2025 were included. Data extraction focused on study design, participant characteristics, intervention content and structure, outcomes, and implementation challenges. Results: Peer support interventions varied from structured and manualized programs to flexible and community-based formats. Reported benefits included improved emotion regulation, reduced isolation, enhanced empowerment, and increased hope. Peer workers also reported personal growth and a strengthened sense of purpose. However, challenges such as emotional exhaustion, role ambiguity, inadequate supervision, and limited engagement in online settings were frequently noted. Only a few studies included quantitative measures of symptom change, and methodological heterogeneity limited cross-study comparisons. Conclusions: Peer support interventions show promising psychosocial benefits for individuals with BPD, particularly in domains related to relational connectedness, emotional coping, and subjective recovery. However, evidence remains limited by a lack of standardized models and rigorous evaluation. Future studies should employ mixed-method and controlled designs to better assess clinical outcomes and ensure safe, effective, and sustainable peer-led programs for this population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".