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Record W2108706824 · doi:10.1093/annhyg/meu019

Antineoplastic Drug Contamination on the Hands of Employees Working Throughout the Hospital Medication System

2014· article· en· W2108706824 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Annals of Occupational Hygiene · 2014
Typearticle
Languageen
FieldHealth Professions
TopicSafe Handling of Antineoplastic Drugs
Canadian institutionsSimon Fraser UniversityOccupational Cancer Research CentreToronto Metropolitan UniversityUniversity of British Columbia
FundersWorkSafeBC
KeywordsAntineoplastic DrugsContaminationMedicineDrugToxicologyEnvironmental healthPharmacology

Abstract

fetched live from OpenAlex

We previously reported that antineoplastic drug contamination is found on various work surfaces situated throughout the hospital medication system (process flow of drug within a facility from initial delivery to waste disposal). The presence of drug residual on surfaces suggests that healthcare workers involved in some capacity with the system may be exposed through dermal contact. The purpose of this paper was to determine the dermal contamination levels of healthcare employees working throughout a hospital and to identify factors that may influence dermal contamination. We selected participants from six hospitals and wiped the front and back of workers' hands. Wipe samples were analyzed for cyclophosphamide (CP), a commonly used antineoplastic drug, using high-performance liquid chromatography-tandem mass spectrometry. Participants were asked about their frequency of handling antineoplastic drugs, known contact with CP on their work shift, gender, job title, and safe drug handling training. In addition, participants were surveyed regarding their glove usage and hand washing practices prior to wipe sample collection. We collected a total of 225 wipe samples. Only 20% (N = 44) were above the limit of detection (LOD) of 0.36ng per wipe. The average concentration was 0.36ng per wipe, the geometric mean < LOD, the geometric standard deviation 1.98, and the range < LOD to 22.8ng per wipe. Hospital employees were classified into eight different job categories and all categories had some dermal contamination levels in excess of the LOD. The job category with the highest proportion of samples greater than the LOD were those workers in the drug administration unit who were not responsible for drug administration (volunteer, oncologist, ward aide, dietician). Of note, the highest recorded concentration was from a worker who had no known contact with CP on their work shift. Our results suggest that a broader range of healthcare workers than previously believed, including those that do not directly handle or administer the drugs (e.g. unit clerks, ward aides, dieticians, and shipper/receivers), are at risk of exposure to antineoplastic drugs. A review of control measures to minimize antineoplastic drug exposure that encompasses a wide array of healthcare workers involved with the hospital medication system is recommended.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.099
GPT teacher head0.416
Teacher spread0.317 · 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