Evidence map›Paper›PMID 29353385›Full record

ArticlePharmacoEconomics2018

The Relative Importance of Clinical, Economic, Patient Values and Feasibility Criteria in Cancer Drug Reimbursement in Canada: A Revealed Preferences Analysis of Recommendations of the Pan-Canadian Oncology Drug Review 2011-2017.

Chris Skedgel, Dominika Wranik, Min Hu

Abstract read
In one paragraph

Article in PharmacoEconomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  3. Review
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  10. Determinants of the Cancer Drug Funding Process in Canada.Current oncology (Toronto, Ont.) · 2022
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  11. Review
  12. Article
  13. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chris SkedgelHealth Economics Group, Norwich Medical School, University of East Anglia, Norwich, NR4 7TJ, UK. c.skedgel@uea.ac.uk.ORCID 0000-0003-4989-8846
Dominika WranikSchool of Public Administration, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0002-7318-3886
Min HuDepartment of Economics, Dalhousie University, Halifax, NS, Canada.ORCID 0000-0002-7839-2812

Funding

CIHR PHE-129912
6 · The paper itself

Abstract

backgroundMost Canadian provinces and territories rely on the pan-Canadian Oncology Drug Review (pCODR) to provide recommendations regarding public reimbursement of cancer drugs. The pCODR review process considers four dimensions of value-clinical benefit, economic evaluation, patient-based values and adoption feasibility-but they do not define weights for individual decision criteria or an acceptable threshold for any of the criteria. Given this implicit review process, it is of interest to understand which factors appear to carry the most weight in pCODR recommendations using a revealed preferences approach.

methodsUsing publicly available decision summaries (n = 91) describing submissions and resulting recommendations 2011-2017, we extracted ten attributes that characterized each submission. Using logistic regression, we identified statistically significant attributes and estimated their relative impact in final recommendations.

resultsClinical aspects appear to carry the greatest weight in the decision to reject or not reject, along with aspects of patient value (treatments with no alternatives were less likely to be rejected). Cost effectiveness does not appear to play a role in the initial decision to reject or not reject but is critical in full versus conditional approvals. There is evidence of a maximum acceptable threshold of around $Can140,000 per quality-adjusted life-year (QALY) gained.

conclusionA set of factors driving pCODR recommendations is identifiable, supporting the consistency of the review process. However, the implicit nature of the review process and the difficulty of extracting and interpreting some of the attribute levels used in the analysis suggests that the process may still lack full transparency.

Indexed as

Models, EconomicPatient PreferenceAntineoplastic AgentsCanadaCost-Benefit AnalysisDecision MakingHumansInsurance, Health, ReimbursementNeoplasmsAntineoplastic Agents

Identifiers

PMID29353385
PMCPMC5840198

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.