Health care service utilization among the elderly: findings from the Study to Understand the Chronic Condition Experience of the Elderly and the Disabled (SUCCEED project)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
RATIONALE AND OBJECTIVES: Age-related effects on health service utilization are not well understood. Most previous studies have examined only a single specific health care service or disease condition or have focused exclusively on economic variables. We aim to measure age-related change in health care utilization among the elderly. METHODS: A population-based retrospective cohort study was conducted using linked data from four administrative databases (OHIP, ODB, CIHI and RPDB). All Ontario residents over the age of 65 years and eligible for public health coverage were included in the analysis (approximately 1.6 million residents). Main outcome measures include utilization indicators for family physician visits, specialist physician visits, Emergency Department visits, drugs, lab claims, X-rays, inpatient admissions, CT scans and MRI scans. RESULTS: The mean number of utilization events for Ontarians aged 65+ years for the 1-year study period was 70 events (women = 76, men = 63). The overall absolute difference between the 65-69 age group and the 85+ age group was 155% (women = 162%, men = 130%), or 76 more events per person in the older group (women = 82, men = 61). Women averaged more events per person than men, as well as greater percentage differences by age. Drugs and diagnostics account for the majority of events. Only MRI and specialist visits were not higher among the older age groups. CONCLUSIONS: At the population level, overall health care utilization would appear to increase significantly with age. It is unclear whether increasing health care utilization prevents morbidity, decreases mortality, or improves quality of life.
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.
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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it