P.018 The Ottawa Epilepsy Program: region-wide coordinated and multidisciplinary care in the 21st century
Bibliographic record
Abstract
Background: Epilepsy is the most common chronic neurological illness worldwide, affecting more than 330, 000 people in Canada, 10, 000 of which reside in the Ottawa area. Despite facing higher mortality, stigma and social barriers, PLE (people living with epilepsy) incur treatment gaps even in high income countries like ours. Our goal was to address this burden locally with the creation of novel, community-integrated, care delivery for PLE in our area; we describe its inception. Methods: A transition program bridging pediatric and adult institutions was created to address the care continuity gap in 2017. Following a meeting of key stakeholders in the region in 2019, the community group was integrated into the model of care and the city-wide program was created incorporating adult, pediatric, transition and community pillars. A patient friendly website was launched in 2020 (ottawaepilepsyprogram.ca). Results: 170 patients were followed in the transition program since 2017. Adult and pediatric pillars have referred 70 patients to the community program between 2019-2020, 48 between 2020-2021. Through this, PLE are able to access the Clinic to community (C2C) and UPLIFT programs for social support services and mental health, respectively. Conclusions: An interconnected region-wide program can support PLE and foster innovative care integration across disciplines.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.006 |
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".