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ARS Home » Plains Area » Houston, Texas » Children's Nutrition Research Center » Research » Publications at this Location » Publication #404915

Research Project: Preventing the Development of Childhood Obesity

Location: Children's Nutrition Research Center

Title: Sensor-controlled digital game for heart failure self-management: Protocol for a randomized controlled trial

Author
item RADHAKRISHNAN, KAVITA - University Of Texas At Austin
item JULIEN, CHRISTINE - University Of Texas At Austin
item O'HAIR, MATTHEW - Good Life Games, Llc
item TUNIS, RACHEL - University Of Texas At Austin
item LEE, GRACE - University Of Texas At Austin
item RANGEL, ANGELICA - University Of Texas At Austin
item CUSTER, JAMES - University Of Texas At Austin
item BARANOWSKI, TOM - Children'S Nutrition Research Center (CNRC)
item RATHOUZ, PAUL - University Of Texas At Austin
item KIM, MIYONG - University Of Texas At Austin

Submitted to: JMIR Research Protocols
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/21/2023
Publication Date: 5/5/2023
Citation: Radhakrishnan, K., Julien, C., O'Hair, M., Tunis, R., Lee, G., Rangel, A., Custer, J., Baranowski, T., Rathouz, P.J., Kim, M. 2023. Sensor-controlled digital game for heart failure self-management: Protocol for a randomized controlled trial. JMIR Research Protocols. 12. Article e45801. https://doi.org/10.2196/45801.
DOI: https://doi.org/10.2196/45801

Interpretive Summary: Heart failure (HF) is the primary cause of hospitalization among older adults in the United States. Self-management behaviors, particularly daily weight monitoring and physical activity, are extremely important in improving HF outcomes, however, patients have low adherence to these behaviors. Sensor-controlled digital games (SCDGs) offer a promising solution since they can leverage sensor-connected technologies, are portable and scalable, allow for continuous observation and thereby can motivate health behaviors in their real-world contexts. SCDGs are becoming increasingly popular among older adults, but no SCDGs have been designed for older adults or evaluated to test their outcomes. This randomized clinical trial aims to assess the efficacy of a SCDG in integrating the behavioral data of participants with HF from weight scale and activity tracker sensors to activate game progress, rewards, and feedback and, ultimately, to improve adherence to important self-management behaviors. This project will provide an understanding of and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF self-management behaviors and improve health outcomes among individuals with HF.

Technical Abstract: Heart failure (HF) is the leading cause of hospitalization among older adults in the United States. There are substantial racial and geographic disparities in HF outcomes, with patients living in southern US states having a mortality rate 69% higher than the national average. Self-management behaviors, particularly daily weight monitoring and physical activity, are extremely important in improving HF outcomes; however, patients typically have particularly low adherence to these behaviors. With the rise of digital technologies to improve health outcomes and motivate health behaviors, sensor-controlled digital games (SCDGs) have become a promising approach. SCDGs, which leverage sensor-connected technologies, offer the benefits of being portable and scalable and allowing for continuous observation and motivation of health behaviors in their real-world contexts. They are also becoming increasingly popular among older adults and offer an immersive and accessible way to measure self-management behaviors and improve adherence. No SCDGs have been designed for older adults or evaluated to test their outcomes. This randomized clinical trial aims to assess the efficacy of a SCDG in integrating the behavioral data of participants with HF from weight scale and activity tracker sensors to activate game progress, rewards, and feedback and, ultimately, to improve adherence to important self-management behaviors. A total of 200 participants with HF, aged >=45 years, will be recruited and randomized into 2 groups: the SCDG playing group (intervention group) and sensor-only group (control group). Both groups will receive a weight scale, physical activity tracker, and accompanying app, whereas only the intervention group will play the SCDG. This design, thereby, assesses the contributions of the game. All participants will complete a baseline survey as well as posttests at 6 and 12 weeks to assess the immediate effect of the intervention. They will also complete a third posttest at 24 weeks to assess the maintenance of behavioral changes. Efficacy and benefits will be assessed by measuring improvements in HF-related proximal outcomes (self-management behaviors of daily weight monitoring and physical activity) and distal outcomes (HF hospitalization, quality of life, and functional status) between baseline and weeks 6, 12, and 24. The primary outcome measured will be days with weight monitoring, for which this design provides at least 80% power to detect differences between the 2 groups. Recruitment began in the fall of 2022, and the first patient was enrolled in the study on November 7, 2022. Recruitment of the last participant is expected in quarter 1 of 2025. Publication of complete results and data from this study is expected in 2026. This project will generate insight and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF self-management behaviors and improve health outcomes among individuals with HF.