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Record W2113321591 · doi:10.1177/171516350513800105

Drug Shortages — Risk or Reality?

2005· article· en· W2113321591 on OpenAlexvenueaboutno aff
A. Kirsten Woodend, Jeff Poston, Karen Weir

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicPharmaceutical Economics and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic shortagePharmacyMedicineDrugBusinessEnvironmental healthFamily medicinePharmacology

Abstract

fetched live from OpenAlex

Background: There has been growing concern about possible drug shortages in Canada, yet we know little about the frequency and impact of shortages in community pharmacies. Objective: The objective of this survey was to determine the extent of any drug shortages in Canadian community pharmacies and the implications of these shortages for community pharmacists. Methods: Surveys and log sheets were faxed to a random sample of 1000 Canadian community pharmacists. Results: More than half of the pharmacists experienced a shortage during one shift, and 80% experienced drug shortages over a one-week period. The three main reasons given for shortages were manufacturing problems, cross-border drug trade, and raw material shortages. The drug products that were most frequently in short supply were Chronovera, Loestrin, Sodium Sulamyd eye drops, and Minestrin. Pharmacists estimated that they spent an average of 17.5 minutes each shift dealing with drug shortages. Conclusion: Most pharmacists are experiencing shortages and feel that these shortages have become more frequent over the past year. There are a variety of factors that contribute to drug shortages and, while the amount of time spent dealing with them is manageable at the present time, increases in shortages will further stress the system.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.077
GPT teacher head0.289
Teacher spread0.212 · 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

Citations5
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Pharmacists Journal / Revue des Pharmaciens du CanadaSame topicPharmaceutical Economics and PolicyFrench-language works237,207