Routine measurement of mental health service outcomes: Health of the Nation Outcome Scales in Nova Scotia
Bibliographic record
Abstract
Aims and Method Although the Health of the Nation Outcome Scales (HoNOS) were designed for routine clinical use, completion rates in clinical settings rarely exceed 60%. We evaluated two initiatives to increase completion rates: timely feedback to clinicians, useful at individual, team and service levels, and improved supporting materials (tabulated glossaries for all versions covering the life-span). Results Clinicians in South Shore Health district provided ratings on all outpatient referrals over 12 months as part of routine care. Data were captured using the Nova Scotia routine administrative data system. Completion rates rose from 61% to 86% ( n =1190). Clinicians' ratings of the instrument's ease of use were significantly improved. Clinical Implications Use of a tabulated glossary and enhanced feedback of clinically useful information improved clinician support for the routine measurement of health outcomes with HoNOS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".