MétaCan
Menu
Back to cohort
Record W2248814847 · doi:10.1016/j.hcmf.2012.07.017

Drug Shortages: Canadian Strategies for a Complex Global Problem

2012· article· en· W2248814847 on OpenAlexaboutno aff
Kathleen Boyle

Bibliographic record

VenueHealthcare Management Forum · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessPurchasingProcurementEconomic shortageCompetition (biology)Supply chainMarketingService (business)Industrial organization

Abstract

fetched live from OpenAlex

Drug shortages are a complex global problem. Increasingly intricate global supply chains, stricter drug regulations and current economic conditions, have exposed Canadians to greater shortage risks. That Canada represents only a limited share of the global drug market means that all stakeholders—hospitals, shared service organizations, group purchasing organizations, supplier networks and governments—must coordinate their efforts to find an effective market solution to recurring shortages. Based on ongoing collaboration between Health PRO Procurement Services Inc. and multi-level national healthcare stakeholders, this article examines the primary causes of drug shortages in Canada, with recommendations for ensuring reliable sources of supply. Group Purchasing Organizations (GPOs) are vitally important in this regard. By building contracting processes that support market competition, GPOs can improve the reliability of supply for medically-necessary products, while creating a more flexible procurement strategy that supports competition, leverages innovation, creates value and adapts more readily to volatile global markets and changing patient needs.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.965
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.098
GPT teacher head0.334
Teacher spread0.235 · 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 designTheoretical or conceptual
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

Citations6
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueHealthcare Management ForumSame topicPharmaceutical Economics and PolicyFrench-language works237,207