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Value Framework Based on Multiple-Criteria Decision Analysis for Assessment of New Health Technologies Under
Thi Thuy Dung Nguyen1, Yu-Hsuan Lee2, Yu-Jr Lin3
1Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Objectives:
Given the lack of a value framework for assessing health technologies in Asian settings, a value framework incorporating multiple-criteria decision analysis for new drugs under universal healthcare coverage in Taiwan was established.
Methods:
The development process included (1) the adoption of 5 value domains (ie, Overall clinical benefit, Disease burden, Alignment with patient concerns, Economic value, and Feasibility of adoption into the health system) and 26 corresponding indicators, derived from the literature and expert discussions; (2) the creation of separate weighting schemes for 3 drug types-new oncology, new orphan, and other new drugs-based on inputs from multiple stakeholders (n = 86) using various weighting methods; and (3) the application of the value framework to cases of new oncology drugs.
Results:
Overall clinical benefit had the highest preference weight, irrespective of drug type, (ie, mean values [95% CIs] for new oncology, new orphan, and other new drugs: 32.5 [30.4-34.6], 30.6 [28.1-33.1], and 30.6 [28.7-32.6], respectively), weighting method, and stakeholder type. The 5 domain-derived weights (from the point allocation method) were comparable to the 26 indicator-derived weights (from the direct rating method), suggesting that the value framework with a short-form (domain-derived) weighting scheme is sufficient to support decision making under time and resource constraints.
Conclusions:
A country-specific value framework incorporating multiple-criteria decision analysis for new drugs was developed in an Asian setting under universal healthcare coverage. It allows multiple stakeholders to systematically appraise all drug value attributes and provides a structured process for adapting and refining value assessments.
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