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Record W4327892842 · doi:10.1177/27551938231165158

Complaints about Violations of Voluntary and Pharmaceutical Industry-Run Medicine Promotion Codes in Canada

2023· article· en· W4327892842 on OpenAlexaffabout
Joel Lexchin

Bibliographic record

VenueInternational Journal of Social Determinants of Health and Health Services · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsPromotion (chess)Pharmaceutical industryContext (archaeology)BusinessCorporate governanceCode of practiceCode (set theory)Code of conductAccountingPublic relationsMedicineFinanceLawPolitical scienceEngineeringPharmacology

Abstract

fetched live from OpenAlex

Although regulation of pharmaceutical promotion in Canada is covered under the Food & Drugs Act and Regulations, in practice it is regulated by two codes, one a code administered by the Pharmaceutical Advertising Advisory Board and a second one controlled by Innovative Medicines Canada, the lobby organization for the large majority of the Canadian and foreign-owned pharmaceutical companies operating in Canada. This study examines complaints about code violations between 2012 and 2021 and puts those complaints and their outcomes into the context of the stringency of the codes, their governance, monitoring, penalties for violations, and compliance by companies. It combines the findings from this analysis with international experience with industry-run codes and concludes that overall, the Canadian codes are ineffective in controlling promotion. Finally, it offers recommendations for how regulation can be improved and how doctors' reliance on information from pharmaceutical companies can be reduced.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.332
GPT teacher head0.574
Teacher spread0.242 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2023
Admission routes2
Has abstractyes

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