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Free Riding in Healthcare Through a Game-Theoretic Lens: A Cross-Domain Narrative Review and Conceptual Synthesis.
Christos Ntais1, Michael A Talias1
1Healthcare Management Program, School of Economics & Management, Open University of Cyprus, Nicosia 2220, Cyprus.
Free riding in healthcare, where individuals benefit without contributing adequately, varies across domains like vaccination and insurance. Game theory offers insights into policy functions like altering payoffs and information to address these collective action problems.
Area of Science:
- Health Economics
- Game Theory
- Public Health Ethics
Background:
- Free riding occurs when actors benefit from health-related public goods while contributing less than socially optimal.
- This dynamic is observed across vaccination, health insurance, universal health coverage, antimicrobial resistance, organ donation, and global health cooperation.
Purpose of the Study:
- To clarify how free-rider dynamics differ across various healthcare domains.
- To synthesize foundational economic, game theory, and public health ethics sources.
Main Methods:
- A narrative review with conceptual synthesis.
- Searches of PubMed and Scopus, complemented by citation tracking and foundational source inclusion.
- Mapping of sources by domain, actors, strategies, payoff structure, information conditions, time horizon, enforcement mechanism, and policy relevance.
Main Results:
- Free riding arises when private payoffs diverge from collective welfare, with distinct game structures in each domain (e.g., vaccination, insurance, antimicrobial resistance).
- Identified three key policy functions: altering payoffs, altering information/beliefs, and changing game structure/enforceability.
Conclusions:
- Game theory is a valuable mechanism-based framework for understanding and addressing free riding in healthcare.
- Policy effectiveness depends on empirical calibration, institutional context, ethical legitimacy, equity, information, behavioral responses, and enforcement capacity.
- Game-theoretic prescriptions may fail if political economy, power asymmetries, implementation capacity, access barriers, or trust are ignored.
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