HFSA ePoster Library

Resveratrol Preserves Mitochondrial Function By Sirt3 Activation In A Right Ventricle Dysfunction Model
HFSA ePoster Library. Bernal-Ramirez J. 09/10/21; 343444; 212
Judith Bernal-Ramirez
Judith Bernal-Ramirez
Login now to access Regular content available to all registered users.
Abstract
Discussion Forum (0)
Introduction: Digital games have been found beneficial in promoting health outcomes of people with chronic diseases. However, application of digital games for the self-management of heart failure (HF) in older adults, which could result in reducing hospitalizations related to HF symptom exacerbation and better health outcomes, is yet to be examined. With the emergence and increase use of behavior tracking devices and sensors in healthcare, a sensor-controlled digital game (SCDG) provides an interactive platform that confers instant feedback to participants based on their real-time behaviors, in the form of game rewards/incentives and real-time game progress. SCDG allows for an opportunity to set goals, monitor and analyze participants’ behaviors and to gain an insight of their interaction with the game. Qualitative data were collected from the SCDG intervention participants from a feasibility randomized controlled trial study, which investigated weight-monitoring and physical activity behavior adherence in older adults with HF.
Objective: The qualitative study aimed to gain in-depth understanding the behavioral mechanisms of SCDG that motivated behavior changes related to daily weight monitoring and physical activity from the HF participants’ perspectives. Michie’s Behavior Change Taxonomy and Fogg’s Behavior Model guided the qualitative data analysis.
Methods: We conducted semi-structured phone interviews with 12 English speaking older adults with HF, aged 55 years and older, from Texas and Oklahoma recruited between November 2019 to August 2020. Interviews were done at the 12th week of using the SCDG and pertained to their overall experience, their input on the features and different components of the SCDG and their consequential behaviors.
Results: Using a directed content analysis approach, six themes were identified, including rewards from playing the game, repetition and substitution of behaviors, feedback and monitoring of progress and behaviors, goal/planning, core motivator of health aspirations related to HF, behavior facilitators and barriers encountered during the intervention. The final themes were obtained after several rounds of reliability checks for rigor in our analysis; the inter-rater reliability went from 71-76% initially to 100% after consensus discussions.
Conclusions: The findings of this study reveal not only the behavioral mechanisms of a SCDG that motivate self-management behavioral changes but also meaningful quality of life gains experienced by older adults with HF. Moreover, the findings suggest potential avenues to contribute to the advancement of SCDG interventions in order to support and promote self-management behaviors in older adults with HF.
Trial Registration: Clinicaltrials.gov NCT03947983
Introduction: Digital games have been found beneficial in promoting health outcomes of people with chronic diseases. However, application of digital games for the self-management of heart failure (HF) in older adults, which could result in reducing hospitalizations related to HF symptom exacerbation and better health outcomes, is yet to be examined. With the emergence and increase use of behavior tracking devices and sensors in healthcare, a sensor-controlled digital game (SCDG) provides an interactive platform that confers instant feedback to participants based on their real-time behaviors, in the form of game rewards/incentives and real-time game progress. SCDG allows for an opportunity to set goals, monitor and analyze participants’ behaviors and to gain an insight of their interaction with the game. Qualitative data were collected from the SCDG intervention participants from a feasibility randomized controlled trial study, which investigated weight-monitoring and physical activity behavior adherence in older adults with HF.
Objective: The qualitative study aimed to gain in-depth understanding the behavioral mechanisms of SCDG that motivated behavior changes related to daily weight monitoring and physical activity from the HF participants’ perspectives. Michie’s Behavior Change Taxonomy and Fogg’s Behavior Model guided the qualitative data analysis.
Methods: We conducted semi-structured phone interviews with 12 English speaking older adults with HF, aged 55 years and older, from Texas and Oklahoma recruited between November 2019 to August 2020. Interviews were done at the 12th week of using the SCDG and pertained to their overall experience, their input on the features and different components of the SCDG and their consequential behaviors.
Results: Using a directed content analysis approach, six themes were identified, including rewards from playing the game, repetition and substitution of behaviors, feedback and monitoring of progress and behaviors, goal/planning, core motivator of health aspirations related to HF, behavior facilitators and barriers encountered during the intervention. The final themes were obtained after several rounds of reliability checks for rigor in our analysis; the inter-rater reliability went from 71-76% initially to 100% after consensus discussions.
Conclusions: The findings of this study reveal not only the behavioral mechanisms of a SCDG that motivate self-management behavioral changes but also meaningful quality of life gains experienced by older adults with HF. Moreover, the findings suggest potential avenues to contribute to the advancement of SCDG interventions in order to support and promote self-management behaviors in older adults with HF.
Trial Registration: Clinicaltrials.gov NCT03947983
Code of conduct/disclaimer available in General Terms & Conditions

By clicking “Accept Terms & all Cookies” or by continuing to browse, you agree to the storing of third-party cookies on your device to enhance your user experience and agree to the user terms and conditions of this learning management system (LMS).

Cookie Settings
Accept Terms & all Cookies