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Record W2113856547 · doi:10.4212/cjhp.v64i4.1038

A Pilot Study of Bar Codes in a Canadian Hospital

2011· article· en· W2113856547 on OpenAlexaffvenueabout
Lionel Brisseau, Andrei Chiveri, Denis Lebel, Jean‐François Bussières

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2011
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Quality and Counterfeiting
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsAlphanumericProduct (mathematics)MedicinePackaging and labelingMedical prescriptionPrescription drugReadabilityReceiptComputer scienceFamily medicineBusinessMathematicsPharmacologyWorld Wide WebMarketing

Abstract

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Background: In 2004, the US Food and Drug Administration issued a new rule requiring most prescription and some over-the-counter pharmaceutical products to carry bar codes down to the level of individual doses, with the intent of reducing the number of medication errors. Despite these regulatory changes in the United States, Health Canada has not yet adopted any mandatory bar-coding of drugs. Objective: To evaluate the feasibility of using commercial bar codes for receipt and preparation of drug products and to evaluate the readability of the bar codes printed on various levels of drug packaging. Methods: This cross-sectional observational pilot study was conducted in the Pharmacy Department of a Canadian mother–child university hospital centre in July 2010. For the purposes of the study, research drugs and cytotoxic drugs in various storage areas, as well as locally compounded medications with bar codes generated in house, were excluded. For all other drug products, the presence or absence of bar codes was documented for each level of packaging, along with the trade and generic names, content (i.e., drug product), quantity of doses or level of packaging, therapeutic class (if applicable), type of bar code (1- or 2-dimensional symbology), alphanumeric value contained in the bar code, standard of reference used to generate the alphanumeric value (Universal Product Code [UPC], Global Trade Item Number [GTIN], or unknown), and readability of the bar codes by 2 scanners.Only 33 (1.9%) of the 1734 products evaluated had no bar codes on any level of packaging. Of the 2875 levels of packaging evaluated, 2021 (70.3%) had at least one bar code. Of the 2384 bar codes evaluated, 2353 (98.7%) were linear (1-dimensional) and 31 (1.3%) were 2- dimensional. Well over three-quarters (2112 or 88.6%) of the evaluated bar codes were readable by at least 1 of the 2 scanners used in the study.On the basis of these results, bar-coding could be used for receipt of 80.9% of the drug products at this Canadian hospital and for the preparation and dispensing of 70.1% of the products.Results: Only 33 (1.9%) of the 1734 products evaluated had no bar codes on any level of packaging. Of the 2875 levels of packaging evaluated, 2021 (70.3%) had at least one bar code. Of the 2384 bar codes evaluated, 2353 (98.7%) were linear (1-dimensional) and 31 (1.3%) were 2- dimensional. Well over three-quarters (2112 or 88.6%) of the evaluated bar codes were readable by at least 1 of the 2 scanners used in the study. Conclusions: On the basis of these results, bar-coding could be used for receipt of 80.9% of the drug products at this Canadian hospital and for the preparation and dispensing of 70.1% of the products. RÉSUMÉ Contexte : En 2004, la US Food and Drug Administration a mis de l’avant un nouveau règlement exigeant que la plupart des produits pharmaceutiques d’ordonnance et certains produits pharmaceutiques en vente libre portent des codes-barres, y compris les emballages unitaires, dans le but de réduire le nombre d’erreurs de médication. Malgré cette nouvelle réglementation aux États-Unis, Santé Canada n’a pas encore adopté un tel règlement au pays.Objectif : Évaluer la faisabilité de l’utilisation de codes-barres commerciaux pour la réception et la préparation des produits pharmaceutiques et la lisibilité des codes-barres imprimés sur différents niveaux de conditionnement. Méthodes : Il s’agit d’une étude pilote d’observation transversale menée dans le service de pharmacie d’un centre hospitalier universitaire mère-enfant canadien en juillet 2010. Aux fins de l’étude, les médicaments de recherche et les médicaments cytotoxiques dans diverses aires d’entreposage, de même que les médicaments préparés sur place, portant des codes-barres maison, ont été exclus. Pour tous les autres produits pharmaceutiques, la présence ou l’absence de codes-barres a été constatée pour chaque niveau de conditionnement, de même que les dénominations commerciale et commune, le contenu (c.-à-d. le produit pharmaceutique), la quantité de doses ou le niveau de conditionnement, la classe thérapeutique (le cas échéant), le type de code-barres (unidimensionnel ou bidimensionnel), la valeur alphanumérique du code-barres, la norme de référence utilisée pour générer la valeur alphanumérique (code universel des produits [CUP], code article international [GTIN] ou inconnue) et la lisibilité des codes-barres au moyen de deux lecteurs différents.Résultats : Seulement 33 (1,9 %) des 1734 produits évalués ne portaient pas de code-barres peu importe le niveau de conditionnement. Des 2875 niveaux de conditionnement évalués, 2021 (70,3 %) portaient au moins un code-barres. Des 2384 codes-barres évalués, 2353 (98,7 %) étaient linéaires (unidimensionnels) et 31 (1,3 %) étaient bidimensionnels. Bien au-delà des trois-quarts (2112 ou 88,6 %) des codes-barres évalués ont pu être décodés par au moins un des deux lecteurs utilisés.Conclusions : Ces résultats montrent que les codes-barres pourraient être utilisés pour la réception de 80,9 % des produits pharmaceutiques dans cet établissement de santé canadien ainsi que pour la préparation et la distribution de 70,1 % des produits pharmaceutiques.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.109
GPT teacher head0.348
Teacher spread0.239 · 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 designObservational
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".

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Citations0
Published2011
Admission routes3
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