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Record W4308959566 · doi:10.1177/10781552221135121

Safe handling of hazardous drugs

2022· article· en· W4308959566 on OpenAlex

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 Oncology Pharmacy Practice · 2022
Typearticle
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsLakeridge HealthMcMaster UniversityCancer Care OntarioSouthlake Regional Health CenterRegional Municipality of DurhamUniversity of TorontoKingston Health Sciences Centre
Fundersnot available
KeywordsGuidelineMedicineAccidentalHazardous wasteHealth carePharmacyMedical emergencyFamily medicine

Abstract

fetched live from OpenAlex

Background: This evidence-based practice guideline was developed to update and address new issues in the handling of hazardous drugs including being compliant with NAPRA (National Association of Pharmacy Regulatory Authorities) and USP 800 (United States Pharmacopeia) standards, the use of personal protective equipment and treatment in diverse settings including in the home setting. Methods: This guideline was developed from an adaptation and endorsement of existing guidelines and from three systematic reviews. Prior to publication, this guideline underwent a series of peer, patient, methodological and external reviews to gather feedback. All comments were addressed and the guideline was amended when required. This guideline applies to and is intended for all health care workers who may come into contact with hazardous drugs at any point in the medication circuit. Results: The recommendations represent a reasonable and practical set of procedures that the intended users of this guideline should implement to minimize the opportunity for accidental exposure. These recommendations are not limited to just the point of care, but cover the entire chain of handling of cytotoxics from the time they enter the institution until they leave in the patient or as waste. Conclusions: Decreasing the likelihood of accidental exposure to cytotoxic agents within the medication circuit is the main objective of this evidenced-based guideline. The recommendations differ slightly from previous guidelines due to new evidence.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, 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 score0.445
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.083
GPT teacher head0.508
Teacher spread0.425 · 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