Investigational drug labeling variability
Notice bibliographique
Résumé
BACKGROUND/AIMS: In comparison with commercial drugs, there are few regulations concerning the labeling of investigational drugs. This leads to variability in their content and layout. This increases the risk of errors during storage, validation, compounding, dispensing and administration. The aim of this study was to evaluate the conformity and variability of investigational drug labels. Additional exploratory aims were to evaluate the use of an automated script to describe the labels and to identify the factors associated with the ease of finding a kit number. METHODS: An 87-criterion list was developed to evaluate content, format and readability. It included eight criteria to evaluate the conformity to the Canadian Food and Drugs Regulation. A systematic cross-sectional evaluation of all investigational drug labels in our 500-bed mother-child center was performed. All active protocols during the period of 14-22 February 2018 were included. Labels from drugs that were sourced locally were excluded. Labels affixed to the outside (external) and inside (internal) containers, as well as labels from American and European sponsors, were compared with the chi-square and Student's t tests. A script was developed in Python to automatically determine key information (number of words, main colors and their proportion). A short survey was conducted with a convenience sample of pharmacists to rate the ease of finding the kit number on labels. Correlation was evaluated with different factors. RESULTS: A total of 27 protocols were included (24 internal and 34 external labels). The majority (33/34) of external labels were compliant with the Regulation. Some internal labels did not state the expiry date (9/13), the sponsor address (2/13) or storing conditions (1/13). A total of 10 criteria were different between internal and external labels, for instance, the number of languages was higher on external labels (median 3 (2-14) vs 10 (2-50); p = 0.013). Five criteria were different depending on the sponsors' location, for instance, European sponsors were more prone to use bold characters (25% vs 61%, p = 0.034). There was a mean of 146 ± 111 words and 78.3% ± 7.3% empty space per label. These were positively correlated (p < 0.001). The proportion of free space on a label was also correlated with the ease of finding the kit number (p = 0.002). CONCLUSION: We measured a high variability in the labeling of investigational drugs. Key information was missing from labels affixed to internal containers, despite the use of a high number of pages. The automation worked well and further work is needed to identify criteria that may improve readability and reduce error risk. Detailed and harmonized international guidelines are needed.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,031 | 0,078 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».