MEDED - a Novel Interactive Manual to Enhance Psychopharmacologic Care in Children and Adolescents [PW10-02]
Bibliographic record
Abstract
Child and Adolescent psychopharmacology is a complex yet frequently necessary psychiatric intervention that requires the participation of the patient, the family, other caregivers, other health providers as well as physicians. Provision of up to date information about and education in the use of psychotropics is an essential component of good psychopharmacologic treatment. To date there have been no methods of addressing these needs within a collaborative care framework that meets the interests of all parties and optimizes the application of best available knowledge in the clinical care of child and adoelscents with mental disorders. MEDED (C) was developed by a group of pharmacists and child psychiatrists as an innovative tool to meet this need. It has been extensively evaluated in a variety of clinical settings in Canada with substantial positive results. This presentation will review the novel collaborative approach to pharmacotherapy that MEDED supports, the process of MEDED development, the contents of MEDED and research on its use to date. Clinicians and program directors will have the opportunity to learn how to obtain further information abot the use of this tool.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 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".