A review of implementation intentions as a tool to benefit high-need patients and healthcare systems: U.S. veterans affairs as an exemplar.

Patient Educ Couns

Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Medical Center, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA. Electronic address:

Published: November 2023

Implementation intentions (if-then plans) are an evidence-based behavior change strategy designed to translate behavioral intentions into habits [1]. Despite extensive evidence of its potential utility, this behavior change strategy is underutilized and under-researched in high-need healthcare contexts within the United States (U.S.) which face high rates of chronic conditions and barriers to care such as rurality, lack of resources, and cognitive strain from mental health and neurological conditions [2,3]. Implementation intentions have demonstrated efficacy in promoting many health behaviors proven to mitigate chronic conditions, namely physical activity, healthy diet, and substance use reduction [4-6]. In addition, the accessible, adaptable, and self-driven nature of implementation intentions allow the technique to meet many of the individual and system-level priorities of these high-need care contexts. By being patient-driven, proactive, and personalized, implementation intentions can help these patients cultivate healthy habits as part of their everyday lives. At the systems-level, implementation intentions' inexpensiveness, scalability, and compatibility with telemedicine platforms allow them to be integrated easily into existing healthcare system infrastructure [7,8]. This review describes these concepts in detail, and uses the Veterans Affairs (VA) healthcare system as an exemplar to provide concrete examples of how and where implementation intentions could be integrated in a healthcare system, within some existing programs, to benefit both the system and individual patients.

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http://dx.doi.org/10.1016/j.pec.2023.107937DOI Listing

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