Standard set of patient-reported outcomes for personality disorder
Bibliographic record
Abstract
PURPOSE: The purpose of the article is to present standard set of outcomes for people with personality disorder (PD), in order to facilitate patient outcome measurement worldwide. METHODS: The International Consortium for Health Outcomes Measurement (ICHOM) gathered a multidisciplinary international working group, consisting of 16 experts, including clinicians, nurses, psychologists, methodologists and patient representatives, to develop a standard set of outcome measures for people with PD. The Delphi method was used to reach consensus on the scope of the set, outcome domains, outcome measures, case-mix variables and time points for measuring outcomes in service users. For each phase, a project team prepared materials based on systematic literature reviews and consultations with experts. RESULTS: The working group decided to include PD, as defined by International Classification of Diseases 11th revision (ICD-11). Eleven core outcomes and three optional outcomes across four health domains (mental health, behaviour, functioning and recovery) were defined as those relevant for people with PD. Validated measures for the selected outcomes were selected, some covering more than one outcome. Case-mix variables were aligned to other ICHOM mental health standard sets and consisted of demographic factors and those related to the treatment that people received. The group recommended that most outcomes are measured at baseline and annually. CONCLUSION: The international minimum standard set of outcomes has the potential to improve clinical decision making through systematic measurement and comparability. This will be key in improving the standard of health care for people with PD across the world.
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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 | 0.046 | 0.095 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".