Accumulation Of Chronic Conditions At The Time Of Death Increased In Ontario From 1994 To 2013
Bibliographic record
Abstract
With falling mortality rates for several diseases, patients are living longer with complex multimorbidities. We explored the burden of multimorbidity at the time of death, how it varies by socioeconomic status, and trends over time in Ontario, Canada. We calculated the proportions of decedents with varying degrees of multimorbidity and types of conditions at death, and we analyzed the trend from 1994 to 2013 in the number of conditions at the time of death. The prevalence of multimorbidity at death increased from 79.6 percent in 1994 to 95.3 percent in 2013. An upward trend in the number of conditions per person at death was observed for all chronic conditions except chronic coronary syndrome, congestive heart failure, and stroke. Chronic respiratory diseases and diabetes were disproportionately represented in low-income and deprived neighborhoods. The trend toward greater multimorbidity burden over time and the existence of steep socioeconomic gradients underscore the importance of integrated health care planning for preventing and managing multiple complex conditions.
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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 | 0.000 | 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) | 0.005 | 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".