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Record W2118968485 · doi:10.1057/palgrave.jmm.5050067

Physician compliance and market demographics

2007· article· en· W2118968485 on OpenAlex
Lynne Tudhope, Mélani Prinsloo, Leyland Pitt, Bradley R. Barnes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Medical Marketing Device Diagnostic and Pharmaceutical Marketing · 2007
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCompliance (psychology)DemographicsOrder (exchange)BusinessSample (material)PopulationPublic relationsMarketingAccountingFamily medicineMedicineEnvironmental healthPolitical sciencePsychologyFinanceDemographySocial psychologySociology

Abstract

fetched live from OpenAlex

The notion of patient compliance is a significant topic of debate, as by nature it has implications on a broad community of stakeholders including pharmaceutical manufacturers, physicians who prescribe drugs, patients who may or may not decide to comply, as well as national governments that operate under budgetary constraints. Based on data collected from 2921 South Africa respondents, it would appear that in order to increase sample compliance, the various stakeholders in South Africa may need to undertake further research with the male population, young patients, the relatively more educated and middle income groups, as these sub-categories of individuals have less of a tendency to comply with their physicians' instructions when taking drugs.

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.

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)0.056
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.704
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0560.041
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0020.000

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 head0.257
GPT teacher head0.525
Teacher spread0.268 · 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