Impact of Country-Specific EQ-5D-3L Tariffs on the Economic Value of Systemic Therapies Used in the Treatment of Metastatic Pancreatic Cancer
Bibliographic record
Abstract
BACKGROUND: Previous Canadian cost-effectiveness analyses in cancer based on the EQ-5D-3L (EuroQoL, Rotterdam, Netherlands) have commonly used U.K. or U.S. tariffs because the Canadian equivalent only just recently became available. The implications of using non-Canadian tariffs to inform decision-making are unclear. We aimed to reevaluate an earlier cost-effectiveness analysis of therapies for metastatic pancreatic cancer (originally performed using U.S. tariffs) with tariffs from Canada and various other countries to determine the impact of using non-country-specific tariffs. METHODS: We used tariffs from Canada, the United States, the United Kingdom, Denmark, France, Germany, Japan, the Netherlands, and Spain to derive EQ-5D-3L utilities for the 10 health states in the pancreatic cancer model. Quality-adjusted life years (qalys) and incremental cost-effectiveness ratios (icers) were generated, and probabilistic sensitivity analyses (psas) were performed. RESULTS: Canadian utilities are generally lower than the corresponding U.S. utilities and higher than those for the United Kingdom. Compared with the Canadian-valued scenarios, U.S. and U.K. estimates were statistically different for 3 and 9 scenarios respectively. Overall, 35% of the non-Canadian utilities (28 of 80) were significantly different, clinically, from the Canadian values. Canadian qalys were 6% lower than those for the United States and 6% higher than those for the United Kingdom. When comparing the qalys of each treatment with those of gemcitabine alone, the average percent change was +6.8% for a U.S. scenario and -7.5% for a U.K. scenario compared with a Canadian scenario. Consequently, Canadian icers were approximately 5.4% greater than those for the United States and 8.6% lower than those for the United Kingdom. Based on the psas and compared with the Canadian threshold value, the minimum willingness-to-pay threshold at which the combination chemotherapy regimen of gemcitabine-capecitabine is the most cost-effective is $5,239 less than in the United States and $11,986 more than in the United Kingdom. CONCLUSIONS: The use of non-country-specific tariffs leads to significant differences in the derived utilities, icers, and psa results. Past Canadian EQ-5D-3L-based cost-effectiveness analyses and related funding decisions might need to be re-visited using Canadian tariffs.
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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 | 0.019 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".