The Mobile Health Platform (mHealth)

This study develops and pilots the initial interface of our mobile health platform that will allow for intra-individual tailoring and personalization of health interventions. This will allow for just-in-time interventions that adapt both the content and timing, not just initially, but also over time based upon prior outcome data, responses to an intervention, current environmental and social context, activity level, location, time, and an individual's psychophysiological state.1,2

Aim 1: To develop the initial interface of the mobile health platform that will allow patients to report and receive data representing multiple health domains including blood pressure, pO2 (pulse oximeter), values, weight, physical activity, calories burned, sleep, and self-report survey measures such as pain and fatigue.

Aim 2: To assess feasibility of the mobile health platform to receive and deliver data representing multiple health domains over 1 month through a single-case study design (N=6).3 Aim 3: To develop an algorithm using the diet data collected in Aim 1 that will facilitate adaptive work by providing patients with automated real time feedback on their progress.

Aim 4: To develop an algorithm using the diet data collected in Aim 1 that will that will facilitate adaptive approaches by alerting clinicians on the progress of their patients.