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Proportionality in Healthcare Governance: A Conceptual Review
Stylianos Papalexandris1, Thomas Fotiadis2, Lamprini Seremeti3
1Department of Production and Management Engineering, Democritus University of Thrace, Xanthi, GRC.
Abstract:
Healthcare governance requires leadership that balances organizational efficiency, staff well-being, and patient-centered care. Leadership decisions often involve dilemmas where competing values and uncertainty render decision-making implicit and opaque. Current leadership models provide limited guidance on how such decisions can be made ethically accountable. This conceptual paper introduces the principle of proportionality as a normative framework for healthcare leadership. Drawing on its established role in legal and ethical reasoning, the three-stage proportionality test, suitability, necessity, and balance, is adapted to guide leadership choices in organizational and clinical contexts. Applying proportionality to leadership enables implicit judgments to be reframed as explicit reasoning processes. The suitability stage ensures that measures are aligned with intended objectives; the necessity stage requires consideration of available alternatives; and the balance stage evaluates whether the burdens imposed are proportionate to the benefits achieved. This structured approach strengthens the ethical justification of leadership actions, enhances transparency, and mitigates arbitrariness. It also contributes to trust-building among staff, patients, and the wider public by demonstrating that trade-offs are navigated with fairness, necessity, and rational balance. Leadership guided by proportionality offers a novel conceptual contribution to healthcare governance. By embedding structured ethical reasoning into decision-making, accountability and legitimacy are promoted in contexts of uncertainty and competing demands. The proposed framework provides a foundation for further empirical investigation and offers practical implications for leadership training, organizational policy, and the development of ethically robust healthcare governance models.
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