Economic guidelines for oncology products: Adaptation of the Canadian Agency for Drugs and Technologies in Health (CADTH) technology assessment guidance document
Bibliographic record
Abstract
e17572 Background: Economic evaluations (EE) are routinely used by decision-makers in Canada. CADTH's “Guidelines for the Economic Evaluation of Health Technologies: Canada” Third edition, 2006, provide guidance on the conduct of EEs for all therapeutic products. The consistency and quality of oncology EEs are variable and therapeutics in the cancer care environment presented unique challenges in decision making. Several chapters of the CADTH document adequately defined methods for the conduct of an oncology EE. However, some chapters required more specific guidance to improve the quality of oncology EEs. The goal was to provide direction on methods for the conduct of high quality EEs in oncology. Methods: The Working Group on Economic Analysis, NCIC CTG and CADTH jointly initiated this project and formed a working group (WG) of oncologists, health economists, decision makers and economic analysts. The WG identified CADTH chapters where oncology-specific guidance would be required. In-person and teleconference meetings provided content and structure for the document. Formal reviews by external academic experts, cancer agencies, patient groups and the pharmaceutical industry were conducted. Feedback was reviewed by the WG and incorporated as appropriate. Results: Chapters requiring guidance included: target population, comparators, perspective, effectiveness, modeling, type of evaluation, valuing health, time horizon, costs and resources, sensitivity analysis and equity. Guidance included clarity around CADTH methodology and recommendations for oncology products. For example for the effectiveness chapter, there was guidance around the use of intermediate outcomes (progression free survival vs. overall survival) and type of evidence (phase II vs. phase III). Overall recommendations for chapters will be presented. Conclusions: The oncology adapted economic guidelines provide specific guidance on the conduct of EEs for oncology products and will be published as an addendum to CADTH's third edition document. Their use should lead to more consistent application of EE methodologies for anti-cancer drugs and higher quality information for decision-makers at a national and perhaps international level. No significant financial relationships to disclose.
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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 | 0.050 | 0.163 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.015 | 0.020 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.009 | 0.003 |
| Research integrity | 0.015 | 0.014 |
| Insufficient payload (model declined to judge) | 0.042 | 0.020 |
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".