Early Supported Discharge (Esd) : a New Clinical Practice in Montreal For Mild To Moderate Stroke Victims. intensive and interdisciplinary Stroke Rehabilitation in The Patientu2019S Home.
Bibliographic record
Abstract
ESD Program is an intensive rehabilitation program to support early discharge from hospital to home for patients recovering from a milder stroke through the offer of rehabilitation similar to what is offered with in-patient intensive rehabilitation.ESDu2019s goal is to promote patient experience with access to appropriate services; optimize use of in-patient rehabilitation beds for stroke patients with severe impairments while supporting patients with milder impairments to receive their rehabilitation at home, an environment conducive to generalization.A joint pilot project by CIUSSS Centre-Sud and CIUSSS Centre-Ouest de lu2019u00eele de Montreal with finance of the Quebec Ministry of Health and Social Services, was implemented for patients on the island of MontrealThe ESD team includes: physiotherapist; occupational therapist; speech therapist; social worker; nurse; neuropsychologist and special care educator. This interdisciplinary and specialized team offers intensive functional rehabilitation at home within 48 hours after discharge from hospital, as is known to be a best practice. Eligible patients are referred by the acute care hospitals and program admissibility discussed with the ESD clinical coordinator prior to patientu2019s discharge.The program started in November 2017, so far 40 patients have benefited from ESD. Objective data will be presented in our oral presentation:
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".