Drug Labeling and Risk Perceptions of Teratogenicity: A Survey of Pregnant Canadian Women and Their Health Professionals
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Notice bibliographique
Résumé
There is a general perception that medicinal drugs are not safe in pregnancy despite the fact that fewer than 30 drugs have been shown to cause major malformations in humans. A large number of women need medications in pregnancy to treat pregnancy-induced conditions, acute illnesses, and chronic diseases. The objectives of this study were the following: (1) to characterize the perception of teratogenic risk by pregnant women and their partners and by health professionals and (2) to examine the most reassuring way to present data on a drug for nausea and vomiting of pregnancy that has been proven to be safe to the fetus. A convenience sample of pregnant Canadian women and their partners, pharmacists, nurses, physicians, and hospital workers were asked to choose the "safest" among four drugs by statements describing their safety. Although the text of all four was similar, the title and narrative were modified to be more or less "reassuring" by the use of more or less terms such as malformations and abnormalities. Health professionals rated the teratogenic risk significantly lower than the parents, but even they rated the drugs as not safe, despite a scientifically reassuring text. Sixty percent of the 240 participants, regardless of their perception of teratogenic risk, believed the four drugs were of similar risks. However, in the other 40%, the less "reassuring" text led to higher teratogenic perception, and the more reassuring options tended to decrease the false perception of teratogenic risk. It was concluded that in general, four different versions of reassuring text describing a scientifically proven safe drug in pregnancy did not lead expecting parents to believe they were safe. Among those who did not rank the four drugs as having equal safety/risk, the less "reassuring" text led to a higher perception of teratogenic risk. Even health professionals reading the labels describing safe drugs rated them as unsafe. Presently, the perception of teratogenic risk is strong even for safe drugs and is difficult to change even with evidence-based facts.
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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 | 0,007 | 0,001 |
| 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 | 0,001 |
| 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 découle