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DEVELOPMENT OF THE ONTARIO DECISION FRAMEWORK: A VALUES BASED FRAMEWORK FOR HEALTH TECHNOLOGY ASSESSMENT
Murray Krahn1, Fiona Miller2, Ahmed Bayoumi3,4
1Toronto General Hospital Research Institute, Toronto Health Economics and Technology Assessment Collaborative (THETA)murray.krahn@theta.utoronto.ca.
The revised Ontario Decision Framework enhances health technology assessment by integrating social values and multiple appraisal criteria. This updated framework prioritizes optimal decision-making for non-drug health technologies.
Area of Science:
- Health Technology Assessment (HTA)
- Health Policy
- Decision Science
Background:
- The Ontario Health Technology Advisory Committee (OHTAC) initially developed a decision framework for non-drug health technologies in 2007.
- A revision was commissioned in 2012 to improve usability and strengthen the framework's theoretical underpinnings.
Purpose of the Study:
- To revise and enhance the Ontario Decision Framework for guiding decisions on non-drug health technologies.
- To deepen the conceptual and theoretical foundations of the existing framework.
Main Methods:
- A multi-criteria decision-making approach was adopted.
- A 3-year committee deliberation process involved a priori consensus, a scoping review of global HTA practices, and expert presentations.
- Key attributes were categorized into context, primary appraisal (benefits, harms, economics, patient-centered care), and feasibility.
Main Results:
- The revised framework incorporates context criteria (stakeholders, adoption pressures, conflicts of interest).
- Primary appraisal includes benefits, harms, economics, and patient-centered care.
- Feasibility criteria encompass budget impact and organizational feasibility.
Conclusions:
- The revised Ontario Decision Framework aligns with global HTA practices but is distinguished by its explicit social values and integration of HTA paradigms.
- It employs a theoretical framework for optimal decision-making rather than broad social goal maximization.
- The framework provides a structured approach for evaluating non-drug health technologies based on diverse criteria.
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