Trends in the Utilization of Specific Health Care Services among Older Manitobans: 1985 to 2000
Bibliographic record
Abstract
This paper examines 16-year trends in the utilization of hospital and physician services by Manitobans aged 75 and more, using data from the Manitoba Population Health Research Data Repository. Trends are examined across five measures of hospital services (separations, short-stay days, long-stay days, cataract surgeries, and hip/knee replacements) and two measures of physician care (overall visit rate, and proportion having seven or more visits). Results show changes in the utilization of these services among older adults living in Manitoba over time, with the extent of change varying with the service under consideration, age, and location of residence. Previously large utilization differentials are shown to be shrinking; for example, cataract surgery rates across regions and physician visit rates by age. For other services, such as the rates of hip or knee replacement surgery, the differences across regions are increasing. Findings indicate that global generalizations about the impact of older adults on the health care system are subject to question, as regional differences and differences between age groups (75-84, 85+) can be significant.
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".