Economic burden of illness associated with diabetic foot ulcers in Canada
Bibliographic record
Abstract
BACKGROUND: The primary objective was to estimate the national burden of illness in Canada for diabetic foot ulcer (DFU) for 2011. Secondary objectives included estimating the national incidence and prevalence of DFU, and the 3-year average cost for DFU incident cases. METHODS: Analyses were conducted using four national databases for the period April 1, 2006 to March 31, 2011, with cases being identified by ICD-10 CA codes. Resource utilization and costs, expressed in 2011 Canadian dollars, were estimated for DFU-related hospitalizations, emergency care (ER), same day surgeries, home care, long term care, physician visits and caregiver time losses. RESULTS: In Canada in the year 2011, DFU was associated with 16,883 hospital admissions (327,140 days), 31,095 ER or clinic visits, 41,367 rehabilitation clinic visits, and 26,493 interventions, including 6,036 amputations and 5,796 surgical debridements. This acute institution care represented $320.5 M, and with an additional $125.4 M for home care and $63.1 M for long term care, the annual cost associated with DFU-related care was $547.0 M, or $21,371 annual cost per prevalent case. In 2011, the national prevalence of DFU was 25,597 cases (75.1 per 100,000 population), consisting of 16,161 men (63.1%) and 9,436 women (36.9%), and an estimated 14,449 incident cases. For an incident case of DFU, the average 3-year cumulative cost was $52,360. CONCLUSION: The annual burden for DFU cases that have at least one admission or ER/clinic visit over a 5 year period is higher than previously reported.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| 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".