Department of Population Health, Department of Psychiatry, New York University (NYU) Grossman School of Medicine, New York, NY, United States.
Department of Medicine Division of Clinical Epidemiology and Evaluative Sciences Research, Weill Cornell Medical College, New York, NY, United States.
Front Public Health. 2021 Jul 12;9:667654. doi: 10.3389/fpubh.2021.667654. eCollection 2021.
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.
COVID-19 大流行暴露并加剧了美国慢性病管理和治疗中长期存在的效率低下和缺陷,例如碎片化的医疗体验和系统、服务重点狭窄、除了就诊之外资源有限、昂贵但质量低下的护理,以及获得全面预防和非药物资源的机会有限。人们担心 COVID-19 幸存者会增加慢性病患者的数量,这将给已经不稳定的医疗保健系统带来负担,使其难以满足慢性病患者的需求。数字健康和远程医疗解决方案在大流行期间迅速发展,可能会解决慢性病管理中的许多效率低下和缺陷,例如增加获得护理的机会。然而,这些解决方案并非万无一失,因为它们存在许多局限性,例如采用率低、参与度低和长期使用低。为了充分优化数字健康和远程医疗解决方案,我们通过一种泛理论框架来倡导数字健康和远程医疗解决方案的游戏化,该框架使用个性化、情境化和行为科学算法、数据、证据和理论来为治疗提供依据。