Disparities in the Availability of Cancer Clinical Trials: A Multi-level Analysis
Disparities in the Availability of Cancer Clinical Trials: A Multi-level Analysis
批准号:
9378680
负责人:
Aasthaa Bansal
金额:
$7.75万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2019-08-31
关键词:
AddressAreaAutomobile DrivingCharacteristicsClinical ResearchClinical TrialsClinical Trials DatabaseComplexCongressesDataData SourcesDatabasesEnrollmentEnsureFoundationsFundingFutureGeographic LocationsGeographyHealth ResourcesHealthcareHealthcare SystemsHospitalsIndividualInterventionLinkLocationMedicare/MedicaidMethodologyMethodsMinorityMinority ParticipationModelingPhasePlayPoliciesPopulationProviderRecruitment ActivityResearch InfrastructureRoleSecond Primary CancersSiteSourceTechniquesUnderrepresented PopulationsUnited StatesUnited States National Institutes of Healthcancer clinical trialcancer typedemographicsdesigndisparity reductioneffective interventionethnic minority populationgeographic differenceimprovedlow socioeconomic statusmultilevel analysisnovelnovel therapeuticspatient populationracial and ethnic disparitiesracial minoritysocioeconomicssuccesstreatment response
中文摘要
癌症临床试验可获得性的差异:一项多层次分析
英文摘要
Disparities in the Availability of Cancer Clinical Trials: A Multi-level Analysis
Participation of minority populations in cancer clinical trials is vital to ensure generalizability of
the results generated, facilitate discovery of novel therapies and therapeutic responses that are
particularly relevant to traditionally underrepresented populations, and ensure equitable access
to new and promising treatments. Yet more than twenty years after Congress mandated that the
NIH ensure `sufficient and appropriate' participation of minorities in clinical research, the
participation rate of many minority populations remains substantially lower than the composition
of the overall US population. Disparities in access to cancer clinical trials are a chief barrier to
reducing disparities in trial participation. Thus it is critical to understand the role that geographic
variation plays in driving disparities in access to cancer clinical trials if we are to design and
target effective interventions to improve minority participation in such trials. Prior studies have
had limited success in teasing apart the complex mix of site- and health care system-level
factors that influence the availability of different types of cancer clinical trials for minority
populations for two chief reasons. First, we currently lack a comprehensive database of
sufficiently detailed trial-level characteristics or information about the locations where trials are
launched because of the difficulty in synthesizing such information from multiple sources using
traditional record linkage methods. As such, prior studies evaluating disparities in the availability
of cancer clinical trials have been importantly limited in the range of factors examined and the
number and type of trials studied. Second, cancer clinical trials are often launched at multiple
sites that operate within larger healthcare systems, and individual recruiting sites often
participate in multiple trials, which pose methodological challenges to disentangling the
associations between various trial-, site-, and health care system-level factors on cancer clinical
trial availability. We propose to address these challenges by integrating information from
multiple sources using advanced record linkage methods and applying sophisticated modeling
techniques to analyze the resulting multilevel data. The proposed study will improve
understanding of how the availability of cancer clinical trials varies across geographic settings
and the clinical trials portfolio, which could help target interventions and policies to address
disparities in access to the areas most in need. This project will also lay the scientific
foundation for a planned future study to predict enrollment of patient populations traditionally
underrepresented in clinical research in publicly funded cancer clinical trials.
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会议论文
Personalized Risk-AdaptIve Surveillance strategies in cancEr -- PRAISE
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批准号:10247535
-
项目类别:
-
资助金额:$44.46万
-
财政年份:2018
-
负责人:Aasthaa Bansal
-
依托单位:
Personalized Risk-AdaptIve Surveillance (PRAISE) - Implications of Algorithmic Bias
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批准号:10575140
-
项目类别:
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资助金额:$44.05万
-
财政年份:2018
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负责人:Aasthaa Bansal
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依托单位:
Personalized Risk-AdaptIve Surveillance strategies in cancEr -- PRAISE
-
批准号:10478117
-
项目类别:
-
资助金额:$41.91万
-
财政年份:2018
-
负责人:Aasthaa Bansal
-
依托单位:
Personalized Risk-AdaptIve Surveillance strategies in cancEr -- PRAISE
-
批准号:9767745
-
项目类别:
-
资助金额:$44.91万
-
财政年份:2018
-
负责人:Aasthaa Bansal
-
依托单位:
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项目类别:省市级项目
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资助金额:--
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AREA国际经济模型的移植.改进和应用
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批准年份:1988
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负责人:史树中
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依托单位: