Is It Worthwhile to Invest in Home Care?
Bibliographic record
Abstract
The objective of this study was to estimate the impact of the First Nations and Inuit Home and Community Care Program (FNIHCCP) on the rates of hospitalization for ambulatory care sensitive conditions (ACSCs) in the province of Manitoba. A population-based time trend analysis was conducted using the de-identified administrative data housed at the Manitoba Centre for Health Policy, including data from 1984/85 to 2004/05. Findings show a significant decline in the rates of hospitalization (all conditions) following the introduction of the FNIHCCP in communities served by health offices (p<0.0001), health centres (p<0.0001) and nursing stations (p=0.0022). Communities served by health offices or health centres also experienced a significant reduction in rates of hospitalization for chronic conditions (p<0.0001).The results of this study suggest that investment in home care resulted in a significant decline in rates of avoidable hospitalization, especially in communities that otherwise had limited access to primary healthcare.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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; both teacher heads agree on what is shown here.
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".