grant
AYA ACCESS Study: An enhanced eHealth and Chat-bot enabled delivery model for clinical genetic services in community AYA cancer patients
Organization UNIVERSITY OF PENNSYLVANIALocation PHILADELPHIA, UNITED STATESPosted 1 Apr 2024Deadline 31 Mar 2029
NIHUS FederalResearch GrantFY202521+ years oldAI botAddressAdherenceAdolescent and Young AdultAdolescent and young adult cancer patientsAdolescent and young adult cancer populationAdolescent and young adult oncology patientsAdolescent and young adults with cancerAdultAdult HumanAffectiveAgeBiologyCCOPCancersCaringClinical TrialsClinical geneticsCognitiveCollaborationsCommunicationCommunitiesCommunity Clinical Oncology ProgramCommunity HospitalsCommunity OncologyCommunity PracticeConsolidated Framework for Implementation ResearchConsolidated Framework for Implementation ScienceConsolidated Framework for Implementing ChangeCounselingDiagnosisDistressEducationEducational aspectsEligibilityEligibility DeterminationEnrollmentFutureGeneticGenetic CounselingGenetic ModelsGenetic ServicesGerm-Line MutationGoalsGuidelinesHealth behaviorHereditary MutationInferiorInfrastructureIntegrated Health Care SystemsInterventionKnowledgeMalignant NeoplasmsMalignant TumorMedicalMedical GeneticsMethodsMinorityModelingNCCNNCI OrganizationNational Cancer InstituteNational Comprehensive Cancer NetworkOn-Line SystemsOncologyOncology CancerOnline SystemsOutcomePathogenicityPatient Outcomes AssessmentsPatient Reported MeasuresPatient Reported OutcomesPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPopulationPredisposition geneProtocol ScreeningProviderRandomizedRecommendationResearchScreening for cancerService delivery modelService modelServicesSiteStandard ModelSusceptibility GeneTechnologyTestingadulthoodagesarmbarriers to implementationbehavior outcomebehavioral outcomecancer among adolescent and young adultscancer carecancer diagnosiscancer geneticscancer predispositioncare as usualcare delivery modelchat botchatbotcommunity settingconversational AIconversational agentconversational botcostdesigndesigningdetermine efficacye-HealtheHealthearly cancer detectionefficacy analysisefficacy assessmentefficacy determinationefficacy evaluationefficacy examinationelderly patientelectronic healthenrollethnic minorityevaluate efficacyexamine efficacyfuture implementationgene testinggene-based testinggenetic consultationgenetic counselorgenetic testinggerm-line defectgermline varianthealth and care deliveryhealth care deliveryhealth care delivery modelhealth delivery systemshealth related behaviorhealth services deliveryimplementation barriersimplementation challengesimprovedimproved outcomeinnovateinnovationinnovativeintegrated health systemintegrated system of careintervention armintervention deliverymalignancymodel buildingmulti-modalitymultimodalityneoplasm/cancernovelolder patientonline computerpatient oriented outcomespredisposing geneprimary end pointprimary endpointprimary outcomeprocess evaluationprogramsracial minorityrandomisationrandomizationrandomly assignedrecruitrural dwellersrural residentscreening cancer patientssecondary outcomeservice uptakesocio-demographic factorssociodemographic factorssusceptibility allelesusceptibility locussusceptibility varianttesting uptaketreatment armtreatment as usualunder served communityunderserved communityuptakeusual careweb based
Description preview
Each year, approximately 90,000 adolescents and young adults (AYA; National Cancer Institute defined age 15-
39 years at cancer diagnosis) are diagnosed with cancer. Despite increasing recognition that over 10% of AYAs
harbor a pathogenic or likely pathogenic germline mutation in cancer predisposition genes, we know that many
AYA do not get…
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