Contemporary Disease Management in Quebec
Bibliographic record
Abstract
Health or disease management (DM) has emerged as a promising solution to improve the quality of healthcare and patient outcomes in a cost-efficient way. This solution is particularly relevant in the care of our increasing, and aging, patient populations with multiple chronic diseases. This article reviews the recent history and current status of DM in the province of Quebec and summarizes its evolving perspectives and future prospects. Most DM projects in Quebec have developed from a public-private partnership, and they have addressed several disease states. The results of completed programs confirmed the presence of care gaps--the differences between best and usual care in several disease states. They also identified process changes leading to improved practices and enhanced professional satisfaction among stakeholders. Priorities identified for further research include increased knowledge of the underlying causes of care gaps and greater concentration on the measurement of clinical, humanistic and fiscal outcomes and their causal links to DM structures and processes. Although still embryonic in Quebec and Canada, the available evidence suggests that DM partnerships are practical and functional vehicles to expedite knowledge creation and transfer in the care of whole populations of patients. Future projects offer the promise of updated knowledge and continuously improved care and outcomes.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.008 |
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".