Anticipating Change: How Many Acute Care Hospital Beds Will Manitoba Regions Need in 2020?
Bibliographic record
Abstract
Being able to anticipate future needs for health services presents a challenge for health planners. Using existing population projections, two models are presented to estimate the demand for hospital beds in regions of Manitoba in 2020. The first, a current-use projection model, simply projects the average use for a recent 3-year period into the future. The second, a 10-year trend analysis, uses Poisson regression to project future demand. The current-use projection suggests a substantial increase in the demand for hospital beds, while the trend analysis projects a decline. The last projections are consistent with ongoing increases in rates of day surgeries and declines in lengths of stay. The current-use projections need to be considered in the context of relatively low occupancy rates in rural hospitals and previous research on appropriateness of stays in acute care hospitals. If measures are taken to ensure more appropriate use of acute care hospital beds in the future, then the current-use projections of bed shortages are not a cause for concern.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".