A pilot sensor-controlled digital gaming intervention with real-time behavior tracking to motivate self-management behaviors in older adults with heart failure
A pilot sensor-controlled digital gaming intervention with real-time behavior tracking to motivate self-management behaviors in older adults with heart failure
批准号:
9789385
负责人:
Kavita Radhakrishnan
金额:
$19.11万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-20 至 2021-07-31
关键词:
AccelerometerActive LearningAddressAdherenceAgeBehaviorBehavioral ModelBluetoothCellular PhoneCharacteristicsChronic DiseaseClassificationClinicClinicalClinical TrialsCognitiveControl GroupsDataDevelopmentDiabetes MellitusDiagnosisEffectiveness of InterventionsElderlyEnrollmentEquilibriumExerciseFaceFailureFeedbackFutureGeriatric NursingGoalsHabitsHealthHealthcareHeartHeart failureHome environmentHospitalizationHuman ResourcesImmersion Investigative TechniqueIncentivesIncidenceInformation Resources ManagementInterventionIntervention StudiesKnowledgeLearningLearning ModuleLife StyleMeasuresMonitorMotivationNew YorkOutcomeOutpatientsParticipantPatient-Focused OutcomesPatientsPharmaceutical PreparationsPhysical activityPlayPreparationProcessQuality of lifeRandomizedRandomized Controlled Clinical TrialsRecommendationResourcesRewardsSelf EfficacySelf ManagementSiteStandardizationSymptomsTechnologyTestingTexasTimeTravelUnited States National Institutes of HealthWeightbasebehavior changebehavioral outcomecardiovascular nursingcostdesigndigitalevidence basefunctional statusgroup interventionhospital readmissionimpaired functional statusimprovedinnovationinsightmobile computingmortalityportabilitypreferencepreventprimary outcomeprocessing speedprogramsprospectiveprototyperecruitresponsesatisfactionsecondary outcomesensorskillssocialtherapy designtooltreatment as usualtrendusability
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
Despite significant advances in treatment, heart failure (HF) continues to be the leading cause of
hospitalizations among older adults in the U.S., with an estimated annual cost of $32 billion. Poor self-
management in older adults with HF causes poor adherence to behavior recommendations, delays in
recognizing HF health crises and seeking clinical assistance, leading to frequent hospitalizations, impaired
functional status, and poor quality of life. However, recent large-scale studies of interventions designed to
support HF self-management have suffered from challenges of lower than anticipated recruitment as
participants were required to travel to intervention sites, being compared with usual care programs that were
exceptional but expensive and human resource-intensive or failure to engage participants till end of study
periods. One promising approach is the use of sensor-controlled digital games (SCDG), which offer affordable,
portable, scalable tools to facilitate engagement in HF self-management behaviors that show the poorest
adherence—weight monitoring and physical activity—while being enjoyable and easy to use. The primary goal
of this study is to obtain initial efficacy data and undertake a comprehensive feasibility assessment of a SCDG
intervention that synchronizes with a Bluetooth-enabled weight scale and activity tracker to activate game
rewards and feedback based on older adult HF participants’ real-time weight monitoring and exercise
behaviors. In Aim 1, we will assess the preferences, and acceptability of the SCDG among 10 older adults with
HF during formative design process. In Aim 2, to motivate participants’ engagement in HF self-management
behaviors, we will develop a SCDG (“Safe at Home”) informed by Fogg’s behavioral model, utilizing a narrative
in which the goal is to help an avatar in the game avoid re-hospitalization and assess its’ usability. Aim 3 will
evaluate the initial efficacy of the SCDG intervention for primary outcome of rate of engagement in HF self-
management behavior of weight-monitoring and secondary outcomes of physical activity engagement, HF self-
management-knowledge, and self-efficacy, HF-functional status, hospitalization, and quality of life. For this
study, we will recruit older adults diagnosed with the New York Heart Association’s HF classification I to III from
out-patient HF settings in central Texas, and we will randomize 44 patients to either the SCDG intervention
group that will receive sensors tracking weight monitoring and activity and play the SCDG on a mobile
smartphone for 12 weeks or a control group that will receive sensors and an app tracking activity and weight
monitoring, and standardized written HF educational modules. Aim 4 will determine the feasibility of the SCDG
intervention and will form the basis for designing a future larger and longer randomized controlled clinical trial.
Our project will generate much needed insight and guidance for digital gaming solutions to motivate adherence
to HF self-management behaviors and improve the health outcomes of older adults with HF.
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海外基金