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Record W2793652288 · doi:10.1186/s40545-018-0132-3

Pharmaceutical company spending on research and development and promotion in Canada, 2013-2016: a cohort analysis

2018· article· en· W2793652288 on OpenAlex
Joel Lexchin

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Pharmaceutical Policy and Practice · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsYork UniversityUniversity Health Network
FundersInnovative Medicines Canada
KeywordsPromotion (chess)Context (archaeology)MarketingBusinessPharmaceutical industryPharmacyAdvertisingMedicineFamily medicinePolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Competing claims are made about the amount of money that pharmaceutical companies spend on research and development (R&D) versus promotion. This study investigates this question in the Canadian context. METHODS: Two methods for determining industry-wide figures for spending on promotion were employed. First, total industry spending on detailing and journal advertising for 2013-2016 was abstracted from reports from QuintilesIMS. Second, the mean total promotion spending for the years 2002-2005 was used to estimate total spending for 2013-2016. Total industry spending on R&D came from the Patented Medicine Prices Review Board (PMPRB). R&D to promotion spending using each method of determining the amount spent on promotion was compared for 2013-2016 inclusive. Data on the 50 top promoted drugs, the amounts spent, the companies marketing these products and their overall sales were abstracted from the QuintilesIMS reports. Spending on R&D and promotion as a percent of sales was compared for these companies. RESULTS: Industry wide, the ratio of R&D to promotion spending went from 1.43 to 2.18 when promotion was defined as the amount spent on detailing and journal advertising for the 50 most promoted drugs. Calculating total promotion spending from the mean of the 2002-2005 figures the ratio was 0.88 to 1.32 for the 50 most promoted drugs. For individual companies marketing one or more of the 50 most promoted drugs, mean R&D spending ranged from 3.7% of sales to 4.1% compared to mean promotion spending that went from 1.7 to 1.9%. The ratio of spending on R&D to promotion varied from 2.11 to 2.32. Eight to 10 companies per year spent more on promotion than on R&D. CONCLUSIONS: Depending on the method used to determine promotion spending, industry-wide the ratio of R&D spending to promotion ranges from 1.45 to 2.18 (sales representatives and journal advertising only) or from 0.88 to 1.32 (total promotion spending estimated based 2003-2005 data.) For the individual companies promoting one or more of the 50 most promoted drugs, 2.11 to 2.32 times more is spent on R&D compared to promotion. However these results should be interpreted cautiously because of data limitations.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.287
GPT teacher head0.461
Teacher spread0.174 · 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