Mental Health and Addictions System Performance in Ontario: An Updated Scorecard, 2009–2017
Bibliographic record
Abstract
Scorecards, particularly those that report on health system performance over time, can shed light on issues related to access and quality. In this updated 2020 Mental Health and Addictions Scorecard, we report on a number of indicators between 2009 and 2017. In general, we found that the performance of the mental health and addictions health system did not improve substantially over time. Among the many findings, over the past decade, suicide rates have not declined and rates of emergency department visits for deliberate self-harm have continued to rise. The highest rates of deliberate self-harm and the greatest rise over time in overall mental health and addictions-related outpatient visits, emergency department visits and hospitalizations were experienced by individuals aged 14-24 years. There continues to be a growing use of mental health services in outpatient settings, with the majority of care provided by primary care physicians. We also observed a slight decrease over time in the proportion of individuals who had no physician-delivered mental health care prior to presenting to the emergency department, which suggests an improvement in access over time.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".