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Attitudes of physicians and public to pharmaceutical industry ‘gifts’

2010· article· en· W1908656676 on OpenAlexaff
Paul Macneill, Ian Kerridge, David Newby, Barrie Stokes, Evan Doran, David Henry

Bibliographic record

VenueInternal Medicine Journal · 2010
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsInstitute for Clinical Evaluative Sciences
Fundersnot available
KeywordsTransparency (behavior)MedicineAutonomyPharmaceutical industryPublic relationsAccountabilityPublic healthEconomic JusticeFamily medicineNursingLawPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Few studies have reported the attitudes of both individual doctors and members of the public toward the appropriateness of 'gifts' from pharmaceutical companies. AIMS: To investigate the attitudes of both doctors and members of the public toward the appropriateness of receiving particular 'gifts' from pharmaceutical companies, and to consider whether public acceptability is a suitable criterion for determining the ethical appropriateness of 'gifts'. METHODS: A survey questionnaire of medical specialists in Australia and a survey questionnaire of members of the public itemized 23 'gifts' (valued between AU$10 and AU$2500) and asked whether or not each was appropriate. RESULTS: Both medical specialists and members of the public believe certain 'gifts' from pharmaceutical companies are appropriate but not others. There was a tendency for members of the public to be more permissive than medical specialists. CONCLUSION: Although some professional guidelines place importance on the attitudes of the general public to 'gift' giving, and other guidelines give importance to a need for transparency and public accountability, we question whether public acceptability is a suitable criterion for determining the ethical appropriateness of 'gifts'. We suggest that more weight be given to the need for independence of clinical decision making, with empirical evidence indicating that even small 'gifts' can bias clinicians' judgments, and to important values such as the primacy of patient welfare, autonomy and social justice. We conclude that it is time to eliminate giving and receiving of promotional items between the pharmaceutical industry and members of health professions.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.011
Insufficient payload (model declined to judge)0.0090.000

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 head0.384
GPT teacher head0.582
Teacher spread0.198 · 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.

Study designNot applicable
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

Citations25
Published2010
Admission routes1
Has abstractyes

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