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Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models

Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models
利用电子病历基础设施来识别有资格接受遗传性癌症基因检测的初级保健患者,并评估新型癌症遗传学服务提供模式
批准号:
10200396
负责人:
Ophira Ginsburg
金额:
$16.1万
依托单位:
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:
2018-09-18 至 2023-08-31
关键词:
2019-nCoVAddressAdherenceAdministrative SupplementAffectAffectiveCOVID-19COVID-19 pandemicCancer PatientCategoriesCharacteristicsClinicClinical InformaticsCognitiveCollectionCommunicationComprehensionComputerized Medical RecordDataDevelopmentDiagnosisDistressEffectivenessElectronic Health RecordEthnic OriginEvaluationFamilyFamily history ofGenetic CounselingGenetic ModelsGenetic Models for CancerGenetic RiskGenetic ServicesGuidelinesHealthHealth PersonnelHealthcareHealthcare SystemsHereditary Malignant NeoplasmImprove AccessIndividualInfrastructureInheritedMalignant NeoplasmsMinority GroupsModelingNew YorkOutcomeParentsParticipantPatient CarePatient Self-ReportPatient-Focused OutcomesPatientsPopulationPopulation SciencesPredispositionPrimary Health CareProviderQuestionnairesRaceRandomizedRandomized Controlled TrialsReactionRecommendationRecording of previous eventsRecordsRegretsResourcesScreening for cancerService delivery modelSiteSubgroupTestingTranslational ResearchUncertaintyUniversitiesUtahbasecancer diagnosiscancer geneticscancer preventioncancer riskcare providersclinical careclinical decision supportclinically significantcohortdesigneducation resourcesexperiencegenetic counselorgenetic risk assessmentgenetic testinghereditary riskimplementation scienceinnovationinterestmeetingsnegative affectnovelopen sourcepandemic diseasepatient portalpatient responsepopulation basedpsychologicracial and ethnicrandomized trialresponserisk perceptionrural arearuralityscreeningservice deliverystandard of caretooltreatment strategytrial designuptake

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SUPPLEMENT ABSTRACT This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA- 20-042. The application is a proposed administrative supplement to the University of Utah (Utah)/New York University (NYU) U01 entitled “Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models” (U01 CA232826). The parent U01 is employing a replicable electronic health record (EHR)-based clinical decision support infrastructure to: (i) identify unaffected primary care patients who qualify for cancer genetics services based on current guidelines in the Utah and NYU healthcare systems (Aim 1); and (ii) compare two models of cancer genetics services delivery for 1,920 of these unaffected primary care patients in a randomized controlled trial (Aims 2 and 3). The parent trial will examine how race and ethnicity modify the effects of the cancer genetics services delivery models. The landscape for delivering genetics services has changed substantially due to the COVID-19 pandemic, and our pilot data suggest that patients’ uptake of cancer genetic testing and access to cancer screening has been adversely affected. This supplement would provide us with an unparalleled opportunity to investigate COVID-19 impacts in two study sites with very different pandemic contexts. We propose the following Supplemental Aims: (1) Characterize healthcare experiences related to COVID-19 among the cohort of 22,208 primary care patients identified as being at increased risk for hereditary cancer; and (2) Investigate how COVID-19 impacts primary care patients’ decisions about and utilization of cancer genetics services. To address Supplemental Aim 1, we will abstract EHR data to investigate COVID-19 diagnosis, SARS-CoV-2 testing, and delays in cancer screening in the identified cohort. Among the subset of the cohort invited to participate in the trial, we hypothesize that having been diagnosed with or hospitalized for COVID-19 or having had a cancelled cancer screening will negatively affect trial participation. We will also investigate differences in these COVID-19 experiences by study site (Utah vs. NYU) and race/ethnicity. To address Supplemental Aim 2, among participants in the parent trial, we will examine how the health, psychological, and financial impacts of COVID-19 affect decisions about and utilization of cancer genetic counseling and genetic testing using a combination of clinic records and questionnaire data. Based on pilot data, we hypothesize that those having higher self-reported health, psychological, and financial impacts of COVID-19 will be less likely to complete cancer genetic testing. We will examine how the effects of COVID-19 are modified by study site (Utah vs. NYU) and race/ethnicity. Together, the supplemental aims will allow us to build a comprehensive picture of how COVID-19 has affected participation in and outcomes of the parent trial. The proposed supplement would also allow us to examine whether COVID-19 is widening disparities in use of cancer genetics services by race and ethnicity.
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