scholarly journals New models for chronic disease management in the United States and China

2014 ◽  
Vol 2 (4) ◽  
pp. 13-19 ◽  
Author(s):  
Ronald R O’Donnell
2013 ◽  
Vol 31 (2) ◽  
pp. 119-131 ◽  
Author(s):  
Ann-Marie Rosland ◽  
Michele Heisler ◽  
Mary R. Janevic ◽  
Cathleen M. Connell ◽  
Kenneth M. Langa ◽  
...  

Maturitas ◽  
2015 ◽  
Vol 82 (1) ◽  
pp. 22-27 ◽  
Author(s):  
Ioanna G. Chouvarda ◽  
Dimitrios G. Goulis ◽  
Irene Lambrinoudaki ◽  
Nicos Maglaveras

2021 ◽  
Vol 9 ◽  
Author(s):  
Azizi A. Seixas ◽  
Iredia M. Olaye ◽  
Stephen P. Wall ◽  
Pat Dunn

The COVID-19 pandemic exposed and exacerbated longstanding inefficiencies and deficiencies in chronic disease management and treatment in the United States, such as a fragmented healthcare experience and system, narrowly focused services, limited resources beyond office visits, expensive yet low quality care, and poor access to comprehensive prevention and non-pharmacological resources. It is feared that the addition of COVID-19 survivors to the pool of chronic disease patients will burden an already precarious healthcare system struggling to meet the needs of chronic disease patients. Digital health and telemedicine solutions, which exploded during the pandemic, may address many inefficiencies and deficiencies in chronic disease management, such as increasing access to care. However, these solutions are not panaceas as they are replete with several limitations, such as low uptake, poor engagement, and low long-term use. To fully optimize digital health and telemedicine solutions, we argue for the gamification of digital health and telemedicine solutions through a pantheoretical framework—one that uses personalized, contextualized, and behavioral science algorithms, data, evidence, and theories to ground treatments.


Sign in / Sign up

Export Citation Format

Share Document