Mitigating the Negative Effects of Misinformation: A System-Level Phenomenon that Impacts Patient Journeys, Health Policy, and Health Outcomes

Health misinformation has evolved from an occasional anomaly to a persistent feature of contemporary health systems, systematically affecting individual health decisions and collective policy processes.This paper presents a comprehensive analytical framework that integrates the Historical, Institutional, Political, Epidemiological, and Social (HIPES) model with patient journey and health policy cycle frameworks to examine how misinformation operates as a system-level phenomenon.Through theory-driven synthesis of empirical and theoretical literature, the analysis traces how misinformation originates through both random information fragmentation and strategic power exercises, becomes amplified through digital platforms and opinion leaders, and circulates through multiple channels to achieve legitimization.The findings demonstrate that misinformation affects all five stages of the patient journey (awareness, consideration, access, service delivery, and ongoing care).Simultaneously, across the policy cycle (agenda-setting, evidence production and dissemination, political decision-making, and implementation and revision).Misinformation shapes which problems are recognized, what evidence is considered credible, which policies are deemed feasible, and how outcomes are interpreted.These individual and policy pathways interact through amplification loops, creating vulnerabilities where certain populations repeatedly face information and policy environments that make suboptimal health outcomes more likely.The paper concludes by offering actionable recommendations organized around reconfiguring patient journeys and policy cycles.Rather than attempting to eradicate misinformation, these strategies aim to manage its influence while preserving democratic values and scientific debate.