Impact of Diagnosis Disclosure on Adolescents with Borderline Personality Disorder.
Bibliographic record
Abstract
OBJECTIVE: Establishing a diagnosis of Borderline Personality Disorder (BPD) in adolescents is often met with controversy, in part, due to potential stigmatizing effects. We wished to explore the adolescent patient experience of being diagnosed with BPD. METHOD: The Impact of Diagnosis Scale (IODS) is a self-report measure we developed with questions targeting patients' subjective experience of receiving a diagnosis of BPD. The IODS was administered to 23 adolescents approximately one month after a diagnosis of BPD had been disclosed to them. RESULTS: Twenty-one participants had analyzable data. The internal consistency of the measure demonstrated Cronbach's alpha of 0.66. We found wide variability in responses. Patients tended to view the diagnosis as an accurate representation of their symptoms. CONCLUSION: The IODS represents a novel means by which clinicians might better appreciate how disclosing the diagnosis of BPD may impact a patient's understanding of one's difficulties.
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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 | 0.002 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".