Health care expenditures and ageing: an international comparison.
Bibliographic record
Abstract
This study examines national health expenditure trends for Japan, Canada, Australia, and England and Wales (combined) to assess the impact of changing demographics and changing age-specific per capita expenditure on national health expenditure. Age-specific expenditure data were obtained from each country's department of health. We calculated changes in age-specific per capita expenditure, population demographics and the share of expenditures used by the different age groups over time. We then determined the extent to which isolated changes in population growth, demographic shifts and changes in age-specific per capita expenditure could predict observed increases in health expenditure. For Japan, Canada and Australia per capita health expenditure increased fastest among those aged 65 and over, at up to twice the increase of those aged 45-64. In England and Wales, on the other hand, those aged 65 and over experienced one-third of the cost increase of those aged 45-64. Hence, the proportion of national health expenditures used by the population aged 65 and over decreased from 40% to 35% in England and Wales, while increasing in the other countries by up to 10 percentage points. Demographic shifts and population growth predicted only 18% of the observed increases in health care expenditures in England and Wales, compared to 68%, 44% and 34% for Japan, Canada and Australia respectively. These differential changes in costs for older age groups over time invite future research into the driving forces behind these costs.
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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 | 0.001 | 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".