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Record W576972216 · doi:10.1007/s40273-015-0297-4

The Silence in Hoch et al.’s Commentary about the Rationale for and Objective(s) of Canada’s Separate HTA Process for Cancer Drugs: The Importance of Transparency and Accountability when Allocating Taxpayers’ Dollars

2015· letter· en· W576972216 on OpenAlexaffabout
Heather McDonald, Cathy Charles, Laurie Elit, Amiram Gafni

Bibliographic record

VenuePharmacoEconomics · 2015
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAccountabilityTransparency (behavior)AmbiguityMedicineLaw and economicsPublic relationsPositive economicsSociologyPolitical scienceLawEconomicsComputer science

Abstract

fetched live from OpenAlex

In their critique of our paper, Hoch et al. [1] ask if it matters whether Canada’s separate health technology assessment (HTA) process for cancer drugs has an economic rationale. They say that the answer is no. However, as we will show later, on the basis of their actual comments, there seems to be ambiguity in what this ‘no’ really means. Hoch et al. also suggest that there were other rationales and objectives set for the establishment of a separate HTA review process for cancer drugs. Unfortunately, they do not identify or explore what these other rationales and objectives might have been, nor do they discuss what these are now and moving forward. Hence, we are left in the dark as to what these might be. Their response reminds us of the famous quotation (above) from Alice in Wonderland. We are left not really knowing where the authors want to go and why. Since we do not know what alternative rationale and objective(s) the authors have in mind, we focus the remainder of our response on comments that we think relate to the subject of our publication (i.e. whether an economic rationale has been provided for the establishment of a separate reimbursement review process for cancer drugs). Specifically, we address the following three issues. First, we discuss whether Hoch et al. really think that an economic rationale is not ‘‘needed to justify the creation and adoption of a separate cancer drug HTA process’’ and what appears to be confusion in their comments between an economic rationale (referred to in our paper as ‘‘a rationale that is consistent with an economic perspective’’ [2]) and goal(s) (or objectives) to achieve through allocation of resources (e.g. to improve population health). Second, we address Hoch et al.’s suggestion that ‘‘decision makers may be pursuing different objectives from academic researchers.’’ Third, we discuss Hoch et al.’s prescription for how to make ‘‘positive contributions that help decision makers address the challenges that decision makers have.’’

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.038
metaresearch head score (Gemma)0.205
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.969
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0380.205
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0020.003
Science and technology studies0.0180.026
Scholarly communication0.0160.014
Open science0.0100.008
Research integrity0.0830.115
Insufficient payload (model declined to judge)0.0050.004

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.

Opus teacher head0.246
GPT teacher head0.459
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainEvaluation
GenreCommentary

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".

Quick stats

Citations1
Published2015
Admission routes2
Has abstractyes

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