In this Methods: Mind the Gap presentation, Dr. Hekler first reviews the need for optimization of adaptive interventions, building on MOST, followed by an overview of control systems engineering and attributes of problems that are well matched to control engineering. He then summarizes key steps in the development and optimization of an adaptive intervention using this approach, leading to a COT.
In this Methods: Mind the Gap presentation, Dr. Klasnja describes how micro-randomized trials can be used to make data-driven decisions about how exactly individual components of mHealth interventions should work to optimize their effectiveness. He argues that a key value of micro-randomized trials during intervention development is their ability to generate data for informing decisions about the many specifics—from the design of the interface to the adaptation algorithms—that must be determined to implement an mHealth intervention. Data from micro-randomized trials enable such decisions to be made in ways that maximize intervention effectiveness while minimizing user burden.
In this Methods: Mind the Gap webinar, Dr. Siobhan Phillips provides an overview of how digital health tools can be used to better understand and optimize physical activity promotion interventions.
Implementation science methodologies, approaches, and tools have a great interdisciplinary applicability. Dr. Alice Ammerman’s webinar discusses what new (and "new to") D&I investigators need to know to succeed in this burgeoning field.