The Economic Cost of Diabetes in Canada, 1998
Bibliographic record
Abstract
OBJECTIVE: In Canada, diabetes poses a significant health problem, and current estimates of its economic burden have not incorporated the total cost of the disease. The objective of this study was to quantify the direct medical- and mortality-related productivity cost of diabetes in Canada for 1998. RESEARCH DESIGN AND METHODS: Direct medical costs included hospital services, physician services, and medicines consumed by people with diabetes. These costs were based on a top-down costing methodology that allocated 1998 total medical expenditures to diabetes. The prevalence of diagnosed and undiagnosed diabetes and the relative risk of complications in people with diabetes were used to estimate the proportion of medical services that were consumed by people with diabetes. Mortality-related productivity losses were calculated using the human capital approach. RESULTS: After varying the assumptions in a sensitivity analysis, the total economic burden (in U.S. dollars) of diabetes and its chronic complications in Canada for 1998 was likely to be between $4.76 and $5.23 billion. In those people just with diagnosed diabetes, the direct medical costs associated with diabetes care, before considering any complications, were $573 million. Of the costs associated with the complications of diabetes, cardiovascular disease was by far the greatest, at $637 million. CONCLUSIONS: Cardiovascular disease was the major contributor to the direct costs of diabetes. The preventive management of diabetes should receive priority attention, and the prevention of cardiovascular disease in the patient with diabetes should become an imperative.
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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) | 0.001 | 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".