Stakeholder perspectives on clinical research related to therapies for rare diseases: therapeutic misconception and the value of research
Notice bibliographique
Résumé
BACKGROUND: For many rare diseases, few treatments are supported by strong evidence. Patients, family members, health care providers, and policy-makers thus have to consider whether to accept, recommend, or fund treatments with uncertain clinical effectiveness. They must also consider whether and how to contribute to clinical research that may involve receiving or providing the therapy being evaluated. OBJECTIVE: To understand why and how patients and families with rare metabolic diseases, specialist metabolic physicians, and health policy advisors choose whether to participate in studies and how they use and value research. METHODS: We conducted separate focus group interviews with each stakeholder group (three groups in total); two groups were conducted by telephone and the third was held in-person. Participants were recruited using purposive sampling. We analyzed each interview transcript sequentially using a qualitative description approach to inductively identify key themes. Several strategies to ensure credibility and trustworthiness were used including debriefing sessions after each focus group and having multiple team members review transcripts. RESULTS: Four patients/caregivers, six physicians, and three policy advisors participated. Our findings did not support conventional perspectives that therapeutic misconception (gaining access to treatment) is the main motivating factor for patients/caregivers to participate in clinical research. Rather, patients'/caregivers' expressed reasons for participating in research included advancing science for the next generation and having an opportunity to share their experiences. Patients/caregivers and physicians described the difficulties in weighing risks versus benefits of accepting treatments not well-supported by evidence. Physicians also reported feeling conflicted in their dual role as patient advisor/advocate and evaluator of the evidence. Policy advisors were primarily focused on critically appraising the evidence to make recommendations for the health system. CONCLUSIONS: Stakeholders differ in their perspectives on rare disease research but share concerns about the risks versus benefits of therapies when making individual- and population-level decisions.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».