Scoring the Value Assessment Framework for China: A Factorial Survey.

Area of Science:

• Health economics
• Pharmaceutical policy
• Value-based healthcare

Background:

• The value assessment framework (VAF) in China requires scoring functions to evaluate drug value.
• Developing these functions is crucial for healthcare decision-making and resource allocation.

Purpose of the Study:

• To develop and validate scoring functions for the VAF in China.
• To assess the influence of various drug attributes on perceived value and insurance coverage recommendations.

Main Methods:

• A factorial survey was conducted with Chinese healthcare stakeholders.
• Respondents evaluated 240 hypothetical drug profiles across different disease severities.
• Linear and logistic mixed-effects models were employed to derive scoring functions.

Main Results:

• Health benefits and safety attributes significantly influenced drug value scoring.
• Higher perceived value and increased probability of insurance coverage were observed for drugs targeting severe/critical diseases.
• Scoring functions demonstrated the differential impact of attributes across disease scenarios.

Conclusions:

• The developed VAF scoring functions provide a quantitative tool for drug value assessment in China.
• These functions can predict a drug's likelihood of negotiation and insurance coverage.
• The findings support evidence-based decision-making in pharmaceutical policy and market access.