Cardiovascular disease (CVD) is a leading cause of mortality and morbidity worldwide, claiming around 18.6 million lives every year. By 2030, the total global cost of CVD is estimated to increase from approximately $860 billion in 2010 to $1044 billion. Interventions that reduce costs attributed to CVD and improve the quality of patient care are a priority across health systems. The advances in digital health, such as telemedicine and artificial intelligence (AI)-enabled devices, provide an impetus to improve health care for millions of people at risk of or living with CVD. Particularly, digital health can help improve the access to care for underserved populations, reduce pressures on overloaded healthcare systems and empower people by providing them with more control of their well-being in sickness and in health.
Digital health intervention (DHI; i.e., the use of information technology, electronic health records, and communication to help achieve health goals) is an emerging tool in medicine used to manage patients with medical conditions including CVD, conduct research, and monitor public health. The rationale is that although genetic and metabolic risk factors play a key role in CVD progression, there are modifiable behavioral risk factors that require patient compliance and motivation to improve CVD outcomes. Of note, the risk of CVD is largely driven by persistent unhealthy lifestyles, such as physical inactivity, unhealthy diet, and unhealthy sleep behaviors. Modalities, including smartwatch monitoring systems, mobile applications, and text messaging or telehealth programs, have been used to improve patient adherence to medical therapies, other secondary prevention strategies, and follow-up, as well as to facilitate community connectedness. Each of these pillars of patient-centered care contributes to improved CVD health outcomes in public health.
This Research Topic will focus on the novel methodologies and applications of DHI for self-monitoring and self-management with applications for CVD-related issues on mobile devices to support public health goals, that is, facilitating patient self-care, and to provide theoretical contributions to advance the field of digital public health (e.g., theories, models, or frameworks). DHI might include but is not limited to algorithms/models, apps, and devices, while any type of CVD-related disease is welcome, such as hypertension, arrhythmia, and so on. The overarching aim of each contribution should be to advance the understanding of the implementation of digital health interventions into health care and their effectiveness under real-world conditions. Following this perspective, the current Research Topic addresses the intersection of cardiovascular disease and digital public health. Theoretical, methodological, original, and review articles are encouraged as contributions to the topic.
Cardiovascular disease (CVD) is a leading cause of mortality and morbidity worldwide, claiming around 18.6 million lives every year. By 2030, the total global cost of CVD is estimated to increase from approximately $860 billion in 2010 to $1044 billion. Interventions that reduce costs attributed to CVD and improve the quality of patient care are a priority across health systems. The advances in digital health, such as telemedicine and artificial intelligence (AI)-enabled devices, provide an impetus to improve health care for millions of people at risk of or living with CVD. Particularly, digital health can help improve the access to care for underserved populations, reduce pressures on overloaded healthcare systems and empower people by providing them with more control of their well-being in sickness and in health.
Digital health intervention (DHI; i.e., the use of information technology, electronic health records, and communication to help achieve health goals) is an emerging tool in medicine used to manage patients with medical conditions including CVD, conduct research, and monitor public health. The rationale is that although genetic and metabolic risk factors play a key role in CVD progression, there are modifiable behavioral risk factors that require patient compliance and motivation to improve CVD outcomes. Of note, the risk of CVD is largely driven by persistent unhealthy lifestyles, such as physical inactivity, unhealthy diet, and unhealthy sleep behaviors. Modalities, including smartwatch monitoring systems, mobile applications, and text messaging or telehealth programs, have been used to improve patient adherence to medical therapies, other secondary prevention strategies, and follow-up, as well as to facilitate community connectedness. Each of these pillars of patient-centered care contributes to improved CVD health outcomes in public health.
This Research Topic will focus on the novel methodologies and applications of DHI for self-monitoring and self-management with applications for CVD-related issues on mobile devices to support public health goals, that is, facilitating patient self-care, and to provide theoretical contributions to advance the field of digital public health (e.g., theories, models, or frameworks). DHI might include but is not limited to algorithms/models, apps, and devices, while any type of CVD-related disease is welcome, such as hypertension, arrhythmia, and so on. The overarching aim of each contribution should be to advance the understanding of the implementation of digital health interventions into health care and their effectiveness under real-world conditions. Following this perspective, the current Research Topic addresses the intersection of cardiovascular disease and digital public health. Theoretical, methodological, original, and review articles are encouraged as contributions to the topic.
