Using the Delphi method to identify meaningful and feasible outcomes for pharmaceutical value-based contracting

Résumé fourni par la source

In an effort to demonstrate measurable value of pharmaceuticals in the United States, many payers and drug manufacturers have entered into value-based purchasing contracts that link payment for prescription medications to patient outcomes, creating shared risk between the 2 entities. These agreements have emerged as part of a larger movement within the health care landscape to transition away from volume-based payment models and towards value-based designs that promote high-quality and affordable care. Key to the success of pharmaceutical value-based contracting is agreement on meaningful and measurable outcomes that reflect drug performance. Traditional value-based contracts are developed by pharmaceutical companies and payers and may not reflect values of other important stakeholders, such as patients, providers, and employers (when applicable). One approach to more effectively align the interests of all key stakeholders and to maximize the effect and transparency of value-based pharmaceutical contracts is to use the validated Delphi surveying technique, which can gather information and build stakeholder consensus on key elements before contract development. In this Viewpoints article, we describe our experience conducting Delphi studies in 5 disease contexts to inform pharmaceutical value-based contract development, including insights learned and practical considerations for real-world application. In addition, we outline advantages to using this validated consensus-building tool to solicit vital and underrepresented stakeholder input, foster transparency in the contract development process, and promote shared learning for future value-based initiatives. DISCLOSURES: No outside funding supported this project. All authors are or were employed by UPMC Health Plan at the time of this study and have no other disclosures to declare.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.