Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential

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• 作者：Arlen C. Moller ; Gina Merchant ; David E. Conroy…
• 关键词：Behavior change theories ; Behavior change techniques ; Digital health ; Optimization ; Dynamic systems ; Social networks
• 刊名：Journal of Behavioral Medicine
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：40
• 期：1
• 页码：85-98
• 全文大小：
• 刊物类别：Behavioral Science
• 刊物主题：Medicine/Public Health, general; Health Psychology; General Practice / Family Medicine;
• 出版者：Springer US
• ISSN：1573-3521
• 卷排序：40

文摘

As more behavioral health interventions move from traditional to digital platforms, the application of evidence-based theories and techniques may be doubly advantageous. First, it can expedite digital health intervention development, improving efficacy, and increasing reach. Second, moving behavioral health interventions to digital platforms presents researchers with novel (potentially paradigm shifting) opportunities for advancing theories and techniques. In particular, the potential for technology to revolutionize theory refinement is made possible by leveraging the proliferation of “real-time” objective measurement and “big data” commonly generated and stored by digital platforms. Much more could be done to realize this potential. This paper offers proposals for better leveraging the potential advantages of digital health platforms, and reviews three of the cutting edge methods for doing so: optimization designs, dynamic systems modeling, and social network analysis.