PP142 A Mental Health Hospital-based Health Technology Assessment In Quebec, Canada: Structure And Products
Bibliographic record
Abstract
INTRODUCTION: Our Hospital-based Health Technology Assessment unit (HB-HTA) was founded in 2011 following the nomination of Louis-H. Lafontaine hospital as the Montreal University Mental Health Institute (IUSMM). From the beginning, the HB-HTA has been supporting and advising the Chief Executive Officer of IUSMM in the decision-making process concerning the implementation of new technologies and practices in mental health. Since 2015, the HB-HTA is part of the East of Montreal Regional Integrated Health and Social Services Centre (CIUSSS de l'Est-de-l’Île de Montréal), continuing to support decisions in mental health. Currently, the HB-HTA unit is nested in the Quality, Performance and Ethics department. METHODS: Formed by a coordinator, a scientific advisor and a manager, the HB-HTA team plans, organizes and sets up the evaluation activities. The unit benefits from the support of a Steering Committee which consists of representatives of clinical, administrative and research directions, as well as of health users and families. This committee determine the strategic orientation of the HB-HTA unit, prioritize the projects, approves the evaluation products and gives indications on the knowledge transfer process. RESULTS: To answer the decision questions, our HB-HTA unit employs two types of products: evaluation reports and informative notes. Based on an exhaustive literature search and consultations with stakeholders, the evaluation reports offer recommendations to support the decision-making process. The informative notes are rapid responses based on a partial literature search. The nature of this type of analysis does not allow the formulation of recommendations, however, a conclusion of the consulted literature is offered. CONCLUSIONS: Based on the work of our HB-HTA unit, some important decisions were made by the IUSMM. As an example, the systematic screening of psychiatric patients for drug and alcohol was not favored by our institution; rather than this, priority was given to staff training, in order to better identify and treat psychiatric patients with substance abuse comorbidity.
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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 | 0.014 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".