JOURNAL ARTICLE

One or More Payers for Healthcare Financing: The Experience From Poland and Czechia.

  • Published In: Economics & Politics, 2025, v. 37, n. 2. P. 616 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Bialynicki‐Birula, Pawel; Burianová, Lucie; Klich, Jacek; Mertl, Jan; Šimčík, Adam 3 of 3

Abstract

This paper focuses on circumstances and consequences of health payers' configuration in Poland and Czechia since the 1990s. It aims to identify the differences in healthcare financing between the two neighboring countries that had started from a similar position, but eventually incorporated different arrangements of payers. The paper conducts comparative analysis of four distinctive elements: the configuration of contracting and payment methods, the power of the payers, coverage and contributions, and the dominant anchor's search attempts. The results map the evolution of healthcare in both countries with a focus on the payers' role, show the payers' economic position and behavior to providers, citizens and health policy authorities. Polish single‐payer system was identified as cheaper and more effective for administratively based expenditure control, while the Czech multipayer one showed higher institutional stability and a wider coverage paid by public health insurance. The paper brings an empirical assessment of existing theoretical knowledge concerning the options for a payers' configuration, demonstrating that the choice and adjustments thereof are country‐specific and depend on the preferred priorities of health policy. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Economics & Politics. 2025/07, Vol. 37, Issue 2, p616
  • Document Type:Article
  • Subject Area:Economics
  • Publication Date:2025
  • ISSN:0954-1985
  • DOI:10.1111/ecpo.12330
  • Accession Number:185659931
  • Copyright Statement:Copyright of Economics & Politics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.