An agent-based simulation model to evaluate alternative co-payment scenarios for contributing to health systems financing. Issue 5 (1st May 2017)

• Record Type: Journal Article
• Authors: Sonnessa, Michele; Tànfani, Elena; Testi, Angela
• Is Part Of: Journal of the Operational Research Society. Volume 68:Issue 5(2017)
• Page Start: 591
• Page End: 604
• Publication Date: 2017-05-01
• Subjects: health economics -- agent-based simulation -- decision support system -- health system financing; Operations research -- Periodicals; 658.4034
• DOI: 10.1057/s41274-016-0022-5
• Languages: English
• ISSNs: 0160-5682

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.