AMCP Partnership Forum: Optimizing Prior Authorization for Appropriate Medication Selection
Notice bibliographique
Résumé
Prior authorization (PA) and step therapy (ST) are utilization management tools that have been in use by managed care organizations for decades. These processes require that health care providers obtain advanced approval to qualify a specific product for coverage from a health plan before it is delivered to the patient. These tools are intended to ensure that patients have access to evidence-based medications while payers remain good stewards of limited health care resources. PA and ST are growing in use to support appropriate use of medications and manage associated costs but may pose challenges related to administrative burden and access to care. In June 2019, the Academy of Managed Care Pharmacy (AMCP) conducted a multistakeholder forum to identify processes for optimizing PA and ST utilization management programs. Health care leaders representing academia, health plans, integrated delivery systems, pharmacy benefit managers, employers, federal government agencies, national health care provider organizations, and patient advocacy organizations participated in the forum. Participants explored current operations of these programs, evaluated stakeholder perspectives on opportunities to improve these programs, and provided recommendations for next steps. They also reviewed current federal and state legislative and regulatory activities to reform PA and ST processes and offered guidance to support program improvements. The goal of the forum was to gather stakeholder input to inform the development of recommendations to improve efficiencies around PA and ST processes; provide recommendations to address administrative burdens; increase the visibility of the clinical and economic value of PA and ST utilization management programs; collect, review, and disseminate data-driven, real-world experiences of PA programs that support clinical and economic value; collect and disseminate best practices around PA appeals and denial processes; and improve channels of communications between health insurance providers, health care professionals, and patients to minimize care delays and improve clarity of coverage authorization requirements. DISCLOSURES: This AMCP Partnership Forum was sponsored by Mallinckrodt Pharmaceuticals, Merck, the National Pharmaceutical Council, and Takeda. These proceedings were prepared as a summary of what occurred at the forum to represent common themes; they are not necessarily endorsed by all attendees nor should they be construed as reflecting group consensus.
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 | 0,011 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».