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

Michele Sonnessa (), Elena Tànfani () and Angela Testi ()
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Michele Sonnessa: University of Genova
Elena Tànfani: University of Genova
Angela Testi: University of Genova

Journal of the Operational Research Society, 2017, vol. 68, issue 5, 591-604

Abstract: Abstract 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.

Keywords: health economics; agent-based simulation; decision support system; health system financing (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1057/s41274-016-0022-5

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