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Governing for or Governing With? Advancing Governance Models That Include Patients, Caregivers and Communities as
Kerry Kuluski1, Emily Cordeaux2, Carol Fancott3
1Dr. Mathias Gysler Research Chair in Patient and Family Centred Care, Institute for Better Health, Trillium Health Partners, Mississauga, ON, Professor, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON.
Strengthening healthcare governance through collective impact and public engagement can improve health system performance. Empowering local levels with overarching principles fosters continuous learning and better meets community needs.
Area of Science:
- Health Services Research
- Public Health Policy
- Organizational Governance
Background:
- Healthcare governance significantly influences health system performance and citizen outcomes.
- Current governance models may not fully address evolving community health needs.
- There is a need for enhanced patient and public involvement in healthcare decision-making.
Purpose of the Study:
- To advocate for healthcare governance redesign focused on strengthening collective impact.
- To explore how increased patient and public engagement can foster a culture of continuous improvement.
- To propose governance models that integrate local empowerment with overarching principles.
Main Methods:
- Conceptual analysis of healthcare governance frameworks.
- Argumentation for enhanced patient, caregiver, and public engagement strategies.
- Discussion of decentralized power structures and system integration.
Main Results:
- Redesigned governance can enhance collective impact by engaging diverse stakeholders.
- Expanded public and patient engagement facilitates a culture of learning and improvement.
- Integrating overarching principles with local empowerment offers transformative potential.
Conclusions:
- Healthcare governance reform is essential for improving health system performance.
- Collective impact models, driven by public engagement and co-design, are key to transformation.
- Decentralized decision-making, guided by shared principles, optimizes health system responsiveness.
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