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Record W2604117351 · doi:10.3233/978-1-61499-742-9-233

All Consumer Medication Information Is Not Created Equal: Implications for Medication Safety

2017· article· en· W2604117351 on OpenAlexaffabout
Helen Monkman, André Kushniruk

Bibliographic record

VenueStudies in health technology and informatics · 2017
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMedical prescriptionPharmacyMedicineMedical emergencyPackage insertDrugIntensive care medicineFamily medicinePharmacology

Abstract

fetched live from OpenAlex

Many Canadians take prescription medications. These medications often have both benefits and potential consequences associated with their use. Additionally, instructions for how to administer some medications (e.g., inhalers, eye drops) maybe be critical in maximizing the beneficial effects of using medications. This study examined the Consumer Medication Information (CMI) from a leading Canadian pharmacy and revealed none of the 10 CMI contained information about allergic reactions, overdoses, or drug interactions. This lack of information may come at the expense patient safety. Additionally, much of the content identified as important was not readily differentiable from the surrounding text. Further, inhalers were the only category of medication that did not have specific use instructions but instead directed consumers to consult other resources. Thus, there are opportunities to augment CMI to improve the safe and effective use of medications. The shortcomings of CMI identified in this study represent important considerations for CMI as it is currently delivered (printed text) and opportunities to improve upon CMI as it is beginning to be offered online.

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)0.003
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: Commentary · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.205
GPT teacher head0.513
Teacher spread0.308 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2017
Admission routes2
Has abstractyes

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