Access to Genetic Information Leveraging Innovative Technology (AGILITY) Study
Access to Genetic Information Leveraging Innovative Technology (AGILITY) Study
批准号:
10492770
负责人:
Jessica Ezzell Hunter
金额:
$49.25万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-22 至 2024-02-29
关键词:
AcademyAddressAdultAmericanCardiovascular systemCaringCenters for Disease Control and Prevention (U.S.)ClinicClinicalClinical TrialsClinical assessmentsCommunitiesComplementConflict (Psychology)CounselingDataDecision MakingDistressEnrollmentEnsureFamilial HypercholesterolemiaFloridaGenesGeneticGenetic CounselingGenomic medicineGenomicsGoldHealthHealth systemHereditary Breast and Ovarian Cancer SyndromeHereditary Malignant NeoplasmHereditary Neoplastic SyndromesHereditary Nonpolyposis Colorectal NeoplasmsHybridsIndividualInheritedInternationalInterventionInterviewLeadLearningMachine LearningMalignant NeoplasmsMedical GeneticsMedicineNotificationOutcomeParticipantPathogenicityPatient CarePatientsPersonsPopulationPositioning AttributePrevalencePreventivePrimary Health CareProviderRandomizedRandomized Controlled TrialsReadinessRecommendationRegretsResearchResearch PersonnelResourcesServicesSumTarget PopulationsTest ResultTestingTrainingTranslatingUniversitiesVariantWorkarmbasecancer riskcare providerschatbotclinical carecomparative efficacycomputer programcostdigitalfollow-upgenetic counselorgenetic informationgenetic testinggenetic variantgenomic predictorshereditary riskhigh riskhybrid type 1 trialimplementation evaluationimplementation outcomesimplementation scienceinformation technology workforceinnovative technologiesinterestmedical schoolsnovelpopulation basedprecision medicineprimary care settingprimary outcomeracial and ethnicracial diversityrandomized trialrecruitretention ratescreeningsecondary outcomeservice deliverysocioeconomicsstandard carestandard of caresuccesstesting uptaketherapy developmenttoolusabilityvirtual
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英文摘要
PROJECT SUMMARY/ABSTRACT
The AGILITY (Access to Genetic Information Leveraging Innovative TechnologY) trial will assess layered
challenges in realizing precision medicine. This includes a limited genetic counseling workforce to facilitate
test decisions, and existing inequities in access to genetic testing. To address these challenges, we will
conduct a Type1 Hybrid Trial that includes three specific aims. The first aim is to take an existing clinical
genetics chatbot and tailor it for use in population screening of gene variants that can lead to Hereditary
Breast and Ovarian Cancer syndromes, Lynch Syndrome, and Familial Hypercholesterolemia. Due to the
prevalence of the variants and options for taking actions to reduce negative outcomes, 10 genes have been
endorsed for population screening by the National Academy of Medicine and the American College of Medical
Genetics. To validate the chatbot for the target population, we will use data from interviews with primary care
patients and providers to learn the informational needs to achieve informed test decisions. Once the chatbot
is validated, the second aim is to conduct a virtually-implemented randomized controlled trial with primary
care patients from a variety of backgrounds. We will test non-inferiority of the chatbot in comparison to
standard genetic counseling. We plan to enroll 2,400 adult participants from five racially, ethnically and
socioeconomically diverse primary care clinics at the University of Florida Health System. Patients will be
eligible to enroll in the trial if they have no higher risks for the screening conditions. [Those with higher risks
will be offered the opportunity to undergo targeted genetic testing as is standard of care, and followed as a
descriptive study arm.] Participants will be randomized to learn about testing via a clinical chatbot or a genetic
counselor. Our primary outcome is informed choice about undergoing genetic testing. As such, those who
decline testing are as informative as those who accept. Secondary outcomes include test-related distress,
decisional conflict, and testing uptake. Informed choice will be assessed immediately following the decision,
after receipt of results for those who accept testing, and 3 and 6 months later for all participants. To ensure
success of the AGILITY Trial, investigators at RTI International will work with the Senior Associate Dean of
Research, primary care providers, patients and the community advisory board at the University of Florida
Health System to develop recruitment, engagement, and retention strategies. The third aim is to conduct an
implementation assessment of the clinical chatbot as an intervention to optimize genetic counseling without
compromising informed decision-making and to facilitate population screening. To do so, we will analyze
interviews with participants, genetic counselors, and primary care providers participating in the trial, using
recognized approaches to inform implementation. The AGILITY study will provide evidence in support of
workable solutions to address the critical issue of how to provide robust and scalable genetic counseling
around predictive genomics in routine clinical care.
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