CIHI Survey: Alternative Level of Care in Canada: A Summary
Bibliographic record
Abstract
Canadian health system managers are increasingly concerned about the number of hospital in-patients who do not need acute care services (Ontario Association for Community Care Access Centres et al. 2006; Yassi et al. 2008). These patients are widely known as "ALC patients" because they are awaiting an alternative level of care in a more appropriate setting. ALC days in hospitals is a systems issue, reflecting challenges in different parts of the healthcare system, including hospitals, community care and long-term care (MacLeod et al. 2008; Ontario Association for Community Care Access Centres et al. 2006; Penney and Henry 2008). Planning and coordination across health sectors will be enhanced through a better understanding of the characteristics of ALC patients and what happens after they are discharged from hospital. This article summarizes more detailed findings presented in the recent report by the Canadian Institute for Health Information (CIHI 2009), Waiting in Hospital: Alternate Level of Care in Canada.
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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".