Novel Use of mHealth Data

Novel Use of mHealth Data

to Identify states of vulnerability and receptivity to JITAIs

The goal of this project is to apply innovative computational approaches to one of the most extensive and racially/ethnically diverse collection of real time, real world data on health behavior change (smoking cessation) to inform the development of theory-driven behavioral interventions.

Grant/Award: NIH-1U01CA229437
Lead PI: Dr. Inbal Nahum-Shani, University of Michigan

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Institutions:

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Study:

Application of innovative computational approaches to identify states of both vulnerability and receptivity for engaging in self-regulatory activities among smokers attempting to quit.

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