J Sharma1,2*, J Bunders2, T Zuiderent-Jerak2 and B Regeer2
1CEO, AP Med Tech Zone and Executive Director, Kalam Institute of Health Technology, Visakhapatnam, India
2Athena Institute, Vrije Universiteit Amsterdam, Netherlands
*Corresponding Author: J Sharma, CEO, AP Med Tech Zone and Executive Director, Kalam Institute of Health Technology, Visakhapatnam, India.
Received: July 04, 2020; Published: September 18, 2020
HTA frameworks have traditionally focused on the elusive quest for an equal measure to rationally distribute and reimburse health technologies. HTA therefore has proven itself important by allowing decision makers to be equipped with logics for the decision, at the same time allowing stakeholders including citizens to appreciate the limitation of decision to ‘provide’ or ‘not to provide’ a service/intervention. This has had impact on budgeting and financing of decisions. However, a flip side of this focus on distribution using ‘one-sided rationality’ makes other rationalities, including those that are value-derived but directly affect health outcomes come either at the end of the process of appraisal or largely left to the policy implementation phase. Those rationalities that do not ‘fit-into’ the equal-distribution based criteria tend to be undervalued in HTA methodologies. In this commentary, we investigate the extent to which selected HTA organizations around the world, apply the key constituent components of an HTA to the process, and use the analysis to propose enhanced set of components that could make HTA process more comprehensive. Multi Decision Criteria Analysis could address this central challenge in common HTA methods, to allow various partial rationalities to be combined into a more comprehensive HTA decision by making HTA process more dynamic and inclusive.
Keywords: Health Technology Assessment (HTA); Multi-criteria Decision Analysis (MCDA); Framework
Citation: J Sharma., et al. “Improving Fairness of Health Technology Assessment Frameworks". Acta Scientific Pharmaceutical Sciences 4.9 (2020): 15-21.
Copyright: © 2020 J Sharma., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.