Feldman David I, Theodore Robison W, Pacor Justin M, Caddell Luke C, Feldman Erica B, Deitz Rachel L, Feldman Theodore, Martin Seth S, Nasir Khurram, Blaha Michael J
Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, Florida.
Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins School of Medicine, Baltimore, Maryland.
Clin Cardiol. 2018 Jul;41(7):985-991. doi: 10.1002/clc.22968. Epub 2018 Jul 20.
Research into prevention of cardiovascular disease has increasingly focused on mobile health (mHealth) technologies and their efficacy in helping individuals adhere to heart-healthy recommendations, including daily physical activity levels. By including the use of mHealth technologies in the discussion of physical activity recommendations, clinicians empower patients to play an active daily role in modifying their cardiovascular risk-factor profile. In this review, we critically evaluate the mHealth and physical activity literature to determine how these tools may lower cardiovascular risk while providing real-time tracking, feedback, and motivation on physical activity levels. We analyze the various domains-including user knowledge, social support, behavioral change theory, and self-motivation-that potentially influence the effectiveness of smartphone applications to impact individual physical activity levels. In doing so, we hope to provide a thorough overview of the mHealth landscape, in addition to highlighting many of the administrative, reimbursement, and patient-privacy challenges of using these technologies in patient care. Finally, we propose a behavioral change model and checklist for clinicians to assist patients in utilizing mHealth technology to best achieve meaningful changes in daily physical activity levels.
心血管疾病预防研究越来越关注移动健康（mHealth）技术及其在帮助个体遵循心脏健康建议（包括每日身体活动水平）方面的功效。通过在身体活动建议的讨论中纳入mHealth技术的使用，临床医生使患者能够在日常中积极发挥作用，改变其心血管风险因素状况。在本综述中，我们批判性地评估了mHealth与身体活动方面的文献，以确定这些工具如何在提供身体活动水平的实时跟踪、反馈和激励的同时降低心血管风险。我们分析了各个领域，包括用户知识、社会支持、行为改变理论和自我激励，这些领域可能会影响智能手机应用程序对个体身体活动水平产生影响的有效性。在此过程中，我们希望除了突出在患者护理中使用这些技术所面临的许多管理、报销和患者隐私挑战之外，还能对mHealth领域进行全面概述。最后，我们为临床医生提出了一个行为改变模型和清单，以帮助患者利用mHealth技术，最好地实现日常身体活动水平的有意义改变。
