An agent-based simulation model to evaluate alternative co-payment scenarios for contributing to health systems financing

Autor: Michele Sonnessa, Elena Tànfani, Angela Testi
Rok vydání: 2017
Předmět:
Zdroj: Journal of the Operational Research Society. 68:591-604
ISSN: 1476-9360
0160-5682
Popis: Ageing populations, rapid technological progress and recent public budget cuts currently threaten the sustainability of public health systems. To meet growing needs with declining resources, decision-makers must identify new ways to avoid reducing the quality of services offered to citizens. This paper focuses on the so-called “co-payment” tools aimed to obtain additional resources for the public health budget directly from citizens. Whereas certain forms of co-payments have always been introduced within health systems to prevent moral hazard behaviours, other co-payment mechanisms are explicitly intended to help finance public healthcare systems. Literature and empirical findings do not agree about the final impact of such co-payment tools, particularly whether they can attain system sustainability and guarantee equitably delivered services. In this paper, we develop an agent-based simulation model which can be used by decision-makers as a decision support tool to compare different co-payment rules and evaluate their impact on the public budget and the health expense of different groups of citizens.
Databáze: OpenAIRE