Project Details - Ended
- Grant Number:R21 HS024001
- Funding Mechanism:
- AHRQ Funded Amount:$297,914
- Principal Investigator:
- Project Dates:5/1/2015 to 4/30/2018
- Care Setting:
- Medical Condition:
- Type of Care:
- Health Care Theme:
Cardiometabolic disease, which includes obesity, diabetes, impaired liver function, and an increased risk in children for adult-onset cardiovascular disease, represents a major health burden in the United States. Many of the lifestyle and health behaviors that contribute to cardiometabolic disease are difficult to modify once established, and childhood represents an opportune time for promoting healthy behaviors. Patient-centered outcomes research (PCOR) has identified a number of factors as important and actionable in modifying cardiometabolic risk. Mobile health technology (mHealth) could be used to monitor and counsel on common health behaviors associated with cardiometabolic risk. The project team will develop a set of mHealth tools capable of collecting health behavior information and evaluate whether providing clinical feedback on these health behaviors reduces obesity and improves health behaviors among children 2-12 years of age and their families.
The specific aims of the project are as follows:
- Develop an integrated closed-loop feedback system that incorporates longitudinal mHealth data in managing cardiometabolic disease among at-risk families
- Determine the extent to which an integrated closed-loop system that provides feedback on objective patient-generated data improves cardiometabolic risk, as measured by changes in body mass index and health behaviors, including physical activity, screen-time, sleep, and sugar-sweetened beverage consumption.
Study participants will be randomized to one of two study arms: (1) automated patient-centered feedback, where participants will receive their data along with personalized cardiometabolic risk counseling in the form of automated mobile messages via their smartphones or (2) self-guided approach, where subjects will have access to their data and may use the information for disease self-management. The primary outcome of the study is change in body mass index between the two study groups. Secondary measures include cardiometabolic health behaviors, such as physical activity (minutes), mean daily sleep (minutes), mean daily screen time, (minutes), and mean weekly sugar-sweetened beverage intake.