Drugs in the news: an analysis of Canadian newspaper coverage of new prescription drugs.
Notice bibliographique
Résumé
BACKGROUND: Patients routinely cite the media, after physicians and pharmacists, as a key source of information on new drugs, but there has been little research on the quality of drug information presented. We assessed newspaper descriptions of drug benefits and harms, the nature of the effects described and the presence or absence of other important information that can add context and balance to a report about a new drug. METHODS: We looked at newspaper coverage in the year 2000 of 5 prescription drugs launched in Canada between 1996 and 2001 that received a high degree of media attention: atorvastatin, celecoxib, donepezil, oseltamivir and raloxifene. We searched 24 of Canada's largest daily newspapers for articles reporting at least one benefit or harm of any of these 5 drugs. We recorded the benefits and harms reported and analyzed how such information was presented; we also determined whether clinical or surrogate outcomes were mentioned; if and how drug effects were quantified; whether contraindications, other treatment options and costs were mentioned; and whether any information on affiliations of quoted interviewees and potential conflicts of interest was presented. RESULTS: Our search yielded 193 articles reporting at least one benefit or harm for 1 of the 5 drugs. All of the articles mentioned at least one benefit, but 68% (132/193) made no mention of possible side effects or harms. Only 24% (120/510) of mentions of drug benefits and harms presented quantitative information. In 26% (31/120) of cases in which drug benefits and harms were quantified, the magnitude was presented only in relative terms, which can be misleading. Overall, 62% (119/193) of the articles gave no quantification of the benefits or harms. Thirty-seven (19%) of the 193 articles reported only surrogate benefits. Other information needed for informed drug-related decisions was often lacking: only 7 (4%) of the articles mentioned contraindications, 61 (32%) mentioned drug costs, 89 (46%) mentioned drug alternatives, and 30 (16%) mentioned nondrug treatment options (such as exercise or diet). Sixty-two percent (120/193) of the articles quoted at least one interviewee. After exclusion of industry and government spokespeople, for only 3% (5/164) of interviewees was there any mention of potential financial conflicts of interest. Twenty-six percent (15/57) of the articles discussing a study included information on study funding. INTERPRETATION: Our results raise concerns about the completeness and quality of media reporting about new medications.
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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| 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 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 ».