Despitesignificantadvancesintreatment,heartfailure(HF)continuestobetheleadingcauseof hospitalizationsamongolderadultsintheU.S.,withanestimatedannualcostof$32billion.Poorself- managementinolderadultswithHFcausespooradherencetobehaviorrecommendations,delaysin recognizingHFhealthcrisesandseekingclinicalassistance,leadingtofrequenthospitalizations,impaired functionalstatus,andpoorqualityoflife.However,recentlarge-scalestudiesofinterventionsdesignedto supportHFself-managementhavesufferedfromchallengesoflowerthananticipatedrecruitmentas participantswererequiredtotraveltointerventionsites,beingcomparedwithusualcareprogramsthatwere exceptionalbutexpensiveandhumanresource-intensiveorfailuretoengageparticipantstillendofstudy periods.Onepromisingapproachistheuseofsensor-controlleddigitalgames(SCDG),whichofferaffordable, portable,scalabletoolstofacilitateengagementinHFself-managementbehaviorsthatshowthepoorest adherence?weightmonitoringandphysicalactivity?whilebeingenjoyableandeasytouse.Theprimarygoal ofthisstudyistoobtaininitialefficacydataandundertakeacomprehensivefeasibilityassessmentofaSCDG interventionthatsynchronizeswithaBluetooth-enabledweightscaleandactivitytrackertoactivategame rewardsandfeedbackbasedonolderadultHFparticipants?real-timeweightmonitoringandexercise behaviors.
In Aim1, wewillassessthepreferences,andacceptabilityoftheSCDGamong10olderadultswith HFduringformativedesignprocess.
In Aim2, tomotivateparticipants?engagementinHFself-management behaviors,wewilldevelopaSCDG(?SafeatHome?)informedbyFogg?sbehavioralmodel,utilizinganarrative inwhichthegoalistohelpanavatarinthegameavoidre-hospitalizationandassessits?usability.
Aim3 will evaluatetheinitialefficacyoftheSCDGinterventionforprimaryoutcomeofrateofengagementinHFself- managementbehaviorofweight-monitoringandsecondaryoutcomesofphysicalactivityengagement,HFself- management-knowledge,andself-efficacy,HF-functionalstatus,hospitalization,andqualityoflife.Forthis study,wewillrecruitolderadultsdiagnosedwiththeNewYorkHeartAssociation?sHFclassificationItoIIIfrom out-patientHFsettingsincentralTexas,andwewillrandomize44patientstoeithertheSCDGintervention groupthatwillreceivesensorstrackingweightmonitoringandactivityandplaytheSCDGonamobile smartphonefor12weeksoracontrolgroupthatwillreceivesensorsandanapptrackingactivityandweight monitoring,andstandardizedwrittenHFeducationalmodules.
Aim4 willdeterminethefeasibilityoftheSCDG interventionandwillformthebasisfordesigningafuturelargerandlongerrandomizedcontrolledclinicaltrial. Ourprojectwillgeneratemuchneededinsightandguidancefordigitalgamingsolutionstomotivateadherence toHFself-managementbehaviorsandimprovethehealthoutcomesofolderadultswithHF.

Public Health Relevance

Older adults with heart failure (HF) face significant healthcare burden and suffering, but effective HF self- management behaviors can reduce their hospitalizations and mortality. We propose the design and development of a sensor-controlled digital game intervention enhanced by real-time behavior-tracking sensors to improve older adults? knowledge, skills, and motivation to engage in the important HF self-management behaviors of weight monitoring and physical activity. This project will generate much needed insight and guidance regarding the use of digital gaming as an affordable, portable, scalable technology to improve older adults? self-management of HF and will potentially reduce the burden of HF.

Agency
National Institute of Health (NIH)
Institute
National Institute of Nursing Research (NINR)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21NR018229-02
Application #
9789385
Study Section
Biomedical Computing and Health Informatics Study Section (BCHI)
Program Officer
Bough, Kristopher J
Project Start
2018-09-20
Project End
2020-07-31
Budget Start
2019-08-01
Budget End
2020-07-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Texas Austin
Department
Type
Schools of Nursing
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78759