149. Behavioural Considerations for Scenario Simulation of Public Policy Interventions in Pharmaceutical Markets
Contributed abstract in session ME-3: Pharmaceuticals Public Policy and Regulation: Exploring pathways to improving access, affordability and availability of medicines, stream Regular talks.
Monday, 15:30-16:40Room: Room S2
Authors (first author is the speaker)
| 1. | Rossen M. Kazakov
|
| Scenariosim Lab | |
| 2. | Penka Petrova
|
| World Business Web Association | |
| 3. | Yavora Kazakova
|
| University of York |
Abstract
Healthcare and pharmaceutical markets are composed of interdependent resources and agents who adapt their behaviours in response to one another and to changing external conditions. A complex adaptive systems perspective highlights the interconnectedness of resources and agents in healthcare and pharmaceutical markets, and emphasizes the importance of understanding how these interactions shape market outcomes and influence the delivery of healthcare services. This paper provides a practical example of hybrid resource agent simulation for the exploration and evaluation of pharmaceutical policies, related to medicines prescribing and pricing regulations, aiming at increasing access to affordable medicines on the local EU markets. The paper presents what if scenarios, performed through the use of a public pharmaceutical policy scenario simulator. They have the task to elicit the effects of the regulation tool box and its elements in combination with important contextual regulatory and market competition factors. This project extends further the practice of public policy evaluation through simulation, bringing a comprehensive approach and providing interactive learning environments, where decision makers can design and test policies through experimentation. Using decision support tools like public policy scenario simulators can enhance the design and testing of robust regulation and policy interventions, outcomes forecasting and prospective evaluation for optimal decisions.
Keywords
- Healthcare policy modelling
- Modelling and simulation
- Decision support
Status: accepted
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