Demographic Characteristics and Healthcare Use of Centenarians: A Population‐Based Cohort Study
Bibliographic record
Abstract
OBJECTIVES: To better understand how centenarians use the healthcare system as an important step toward improving their service delivery. DESIGN: Population-based retrospective cohort study using linked health administrative data. SETTING: Ontario--Canada's largest province. PARTICIPANTS: All individuals living in Ontario aged 65 and older on April 1 of each year between 1995 and 2010 were identified and divided into three age groups (65-84, 85-99, ≥ 100). A detailed description was obtained on 1,842 centenarians who were alive on April 1, 2010. MEASUREMENTS: Sociodemographic characteristics and use of health services. RESULTS: The number of centenarians increased from 1,069 in 1995 to 1,842 in 2010 (72.3%); 6.7% were aged 105 and older. Over the same period, the number of individuals aged 85 to 99 grew from 119,955 to 227,703 (89.8%). Women represented 85.3% of all centenarians and 89.4% of those aged 105 and older. Almost half of centenarians lived in the community (20.0% independently, 25.3% with publicly funded home care). Preventive drug therapies (bisphosphonates and statins) were frequently dispensed. In the preceding year, 18.2% were hospitalized and 26.6% were seen in an emergency department. More than 95% saw a primary care provider, and 5.3% saw a geriatrician. CONCLUSION: The number of centenarians in Ontario increased by more than 70% over the last 15 years, with even greater growth among older people who could soon become centenarians. Almost half of centenarians live in the community, most are women, and almost all receive care from a primary care physician.
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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) | 0.000 | 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".