A roadmap for empowering cardiovascular disease patients: a 5P-Medicine approach and technological integration.
Hanna V DenysyukIvan Miguel PiresNuno M GarciaPublished in: PeerJ (2024)
This article explores the multifaceted concept of cardiovascular disease (CVD) patients' empowerment, emphasizing a shift from compliance-oriented models to active patient participation. In recognizing that cardiovascular disease is a paramount global health challenge, this study illuminates the pressing need for empowering patients, underscoring their role as active participants in their healthcare journey. Grounded in 5P-Medicine principles-Predictive, Preventive, Participatory, Personalized, and Precision Medicine-the importance of empowering CVD patients through analytics, prevention, participatory decision making, and personalized treatments is highlighted. Incorporating a comprehensive overview of patient empowerment strategies, including self-management, health literacy, patient involvement, and shared decision making, the article advocates for tailored approaches aligned with individual needs, cultural contexts, and healthcare systems. Technological integration is examined to enhance patient engagement and personalized healthcare experiences. The critical role of patient-centered design in integrating digital tools for CVD management is emphasized, ensuring successful adoption and meaningful impact on healthcare outcomes. The conclusion proposes vital research questions addressing challenges and opportunities in CVD patient empowerment. These questions stress the importance of medical community research, understanding user expectations, evaluating existing technologies, defining ideal empowerment scenarios, and conducting a literature review for informed advancements. This article lays the foundation for future research, contributing to ongoing patient-centered healthcare evolution, especially in empowering individuals with a 5P-Medicine approach to cardiovascular diseases.
Keyphrases
- healthcare
- cardiovascular disease
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- case report
- type diabetes
- prognostic factors
- mental health
- global health
- adipose tissue
- patient reported outcomes
- public health
- climate change
- health information
- metabolic syndrome
- deep learning
- skeletal muscle
- electronic health record
- social media
- affordable care act