Review of National Spontaneous Reporting Schemes: Strengths and Weaknesses
Notice bibliographique
Résumé
Objective: To investigate and compare the operation of different national spontaneous reporting schemes for adverse drug reactions. \n \nDesign: Drug safety agencies in 18 countries were contacted by letter to request information about their spontaneous reporting scheme for adverse drug reactions. This information related to the background of the scheme, operational aspects of the scheme and numbers of reports received. \n \nResults: Replies were received from 12 countries. Many differences were found between the schemes operating in different countries. Some schemes had been in operation for over 30 years, while others were more recently established. While most schemes rely on voluntary reports, in two countries (France and Spain), reporting is a legal requirement for healthcare professionals. Reports are accepted from doctors, dentists and pharmacists in all of the countries surveyed; however the role of other health professionals and the general public was found to vary. There were also differences in the types of reactions for which reports are requested, and the products covered by the schemes. In some countries (e.g. Denmark) reports of all reactions are sought, while other countries focus on only serious reactions or reactions to newly marketed products. In Australia, there is a separate scheme for drug-induced congenital malformations and Canada, South Africa and the US run separate schemes for reactions to vaccines. However, other countries include these reactions in the general spontaneous reporting schemes. The numbers of reports received by the countries also varies considerably - from a few hundred each year in South Africa to over 20 000 in the US. \n \nConclusions: While the schemes all operate on the basic principle of collecting reports of adverse reactions to identify potential hazards, they showed many different approaches to the spontaneous reporting of adverse drug reactions. Features of one scheme may serve to improve reporting rates for another. In addition, all 12 countries participate in the World Health Organization International Drug Monitoring Programme, thus helping to inform the whole international community of drug safety problems.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».