The burden of illness of osteoporosis in Canadian men
Bibliographic record
Abstract
There is a dearth of information about the burden of osteoporosis in Canadian men. To fill this gap, we conducted a burden of illness study aimed at estimating the economic burden attributable to osteoporosis in Canadian men aged 50 years and older. Five national data sources were used to estimate health care resource utilization and costs (in 2010 Canadian dollars) associated with osteoporosis in men. Any information gap was supplemented by using data from provincial and community sources. Direct medical costs included costs associated with hospitalizations, same day surgeries, emergency room visits, rehabilitation, chronic care, long-term care, home care, physician visits, and prescribed medications. The value of lost productivity from patients and informal caregivers was also determined to provide a societal perspective. Sensitivity analyses were conducted to evaluate the impact of key assumptions on the results. In fiscal year 2007/2008, the total economic burden of treating and rehabilitating male osteoporotic fractures was estimated at $570 million per year, where direct medical costs accounted for 86%. Acute care utilization was responsible for 70% of all direct costs. About 51% of all hospitalizations were for hip fractures and hip fractures alone accounted for 54% of the acute care spending. If a proportion of Canadian men were assumed to live in long-term care facilities due to osteoporosis, the overall annual cost of osteoporosis would increase from $570 million to $910 million. Male osteoporosis has a substantial economic burden on the Canadian society.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".