A borderline personality disorder diagnosis may improve clinical psychology trainees' treatment beliefs.

Br J Clin PsycholJun 12, 2026 (epub)
Clinical ResearchPsychiatry

Katie E Hastings, Adam Hahn

✦ AI-curated · Sources linked

In 30 seconds

This randomized 2 × 2 vignette experiment examined whether a borderline personality disorder (BPD) diagnosis and a character’s age influenced treatment beliefs and anticipated responses among 242 clinical psychology trainees. Participants considered a 27- or 70-year-old character with BPD symptoms, presented with or without a diagnosis. Trainees expressed more favourable beliefs about therapeutic relationships and treatability when the character had a BPD diagnosis than when the same symptoms were presented without a diagnosis. They also anticipated more infantilising behaviour toward older than younger characters, regardless of diagnostic label.

Key findings

  • A BPD diagnosis was associated with more positive beliefs about the therapeutic relationship and greater conviction that the person was treatable.
  • Trainees anticipated more infantilising behaviour toward 70-year-old than 27-year-old characters, independent of diagnostic label.

Why it matters

The findings suggest that, among these trainees, a BPD label did not worsen treatment expectations and may have supported more favourable beliefs than symptom descriptions without a diagnosis. However, age-related expectations also emerged: older adults were more likely to be met with anticipated infantilising behaviour. These results highlight that diagnostic and age-related assumptions can shape clinicians’ expectations, even in a vignette-based setting.

What to keep in mind

The study measured trainees’ beliefs and anticipated reactions to a vignette, not their behaviour in clinical encounters or patient outcomes.

Source

Published in Br J Clin Psychol. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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