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 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 | 0.001 | 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 | 0.001 |
| 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".