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Record W334668128 · doi:10.1007/s40273-015-0278-7

Does it Matter Whether Canada’s Separate Health Technology Assessment Process for Cancer Drugs has an Economic Rationale?

2015· letter· en· W334668128 on OpenAlexaffabout
Jeffrey S. Hoch, Jaclyn Beca, Mona Sabharwal, Scott W. Livingstone, Anthony Fields

Bibliographic record

VenuePharmacoEconomics · 2015
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsUniversity of AlbertaCanadian Agency for Drugs and Technologies in HealthCancer Care OntarioSaskatchewan Cancer AgencyCanadian Centre for Applied Research in Cancer ControlSt. Michael's Hospital
Fundersnot available
KeywordsHealth economicsPharmacoeconomicsHealth technologyHealth careEconomic evaluationPopulation healthMedicineGerontologyLibrary sciencePolitical scienceLawComputer scienceIntensive care medicine

Abstract

fetched live from OpenAlex

PharmacoEconomics DOI 10.1007/s40273-015-0278-7 LETTER TO THE EDITOR Does it Matter Whether Canada’s Separate Health Technology Assessment Process for Cancer Drugs has an Economic Rationale? Jeffrey S. Hoch 1,2,3,4 • Jaclyn Beca 1,2,3 • Mona Sabharwal 5 • Scott W. Livingstone 6 Anthony L. A. Fields 7 The Author(s) 2015. This article is published with open access at Springerlink.com ‘‘What our health-care systems need to do with their limited budgets is maximize value and no dimensions of health … will be a good measure of value because people consider other aspects in their evaluations … We must back out of the dead end that is pursuing overall efficiency’’ [1]. 1 Introduction We are grateful for the opportunity to comment on the results of McDonald et al. [2]. In this note, we summarize their findings, build on their interpretations, and suggest future directions for researchers interested in improving a health technology assessment (HTA) process. 2 Summary of the Findings McDonald et al. searched for reasons why Canada and other countries might separate their cancer drug HTA process. They appraised whether any of the rationales they & Jeffrey S. Hoch jeffrey.hoch@utoronto.ca Pharmacoeconomics Research Unit, Cancer Care Ontario, Toronto, ON, Canada Jaclyn Beca becaj@smh.ca Canadian Centre for Applied Research in Cancer Control (ARCC), Toronto, ON, Canada Mona Sabharwal monas@cadth.ca Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada Scott W. Livingstone scott.livingstone@saskcancer.ca Pan-Canadian Oncology Drug Review (pCODR), Canadian Agency for Drugs and Technologies in Health (CADTH), Toronto, ON, Canada Saskatchewan Cancer Agency, Saskatoon, SK, Canada University of Alberta, 11560 University Ave NW, Edmonton, AB T6G 1Z2, Canada Anthony L. A. Fields afields@ualberta.ca found were derived from the assumption commonly made by health economists that ‘‘the goal of society or decision makers is to maximize the total aggregate health benefit conferred to a population for a given level of resources’’. They found that this rationale was not used by Canada or any country to support the use of a separate HTA process for cancer drugs. The researchers were also not able to find another country besides Canada that had a separate cancer drug HTA process. These findings may seem surprising: Canada is the only country in the world that has a separate cancer drug HTA process; and McDonald et al. could find no justification based in economic theory for a separate process. To be clear, the authors reported that other countries (e.g. Den- mark, Belgium, the UK) set aside a separate budget for cancer drugs, and the authors found several ‘‘non-eco- nomic’’ rationales for Canada’s separate HTA process. There are two potential interpretations of these search re- sults: (1) the search missed something or (2) there really is no economic rationale in print for a separate cancer drug HTA process. Although their study might not be Centre for Excellence in Economic Analysis Research (CLEAR), Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, ON, Canada

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.141
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.328
GPT teacher head0.509
Teacher spread0.181 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
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

Citations9
Published2015
Admission routes2
Has abstractyes

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