Examining an Alternate Care Pathway for Mental Health and Addiction Prehospital Emergencies in Ontario, Canada: A Critical Analysis
Bibliographic record
Abstract
Paramedics in Ontario have largely been limited to transporting those with mental health or addiction (MHA)-related emergencies to the emergency department (ED). The ED has repeatedly been identified as a problematic and challenging setting for people with MHA needs. This article examines an innovative patient care model (PCM) established by the Middlesex-London Paramedic Service and its partners for specific MHA emergencies where patients were given options for care that included transportation to a Canadian Mental Health Association (CMHA) Crisis Centre or information for support. Qualitative and quantitative data that were utilized for regular reporting to the Ministry were included in the analysis. The findings indicated that the goals of reducing pressures on EDs and paramedic services, enhancing paramedics' ability to address MHA calls, and improving patient care experiences were met. This model improves patient autonomy and options for care, improves the means for addressing patients' social determinants of health, and offers transportation to a non-medicalized facility.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".