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Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes

Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes
乳腺癌诊断工作和结果的种族和社会经济差异
批准号:
10654528
负责人:
CHRISTOPH I LEE
金额:
$58.2万
依托单位:
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:
未结题
起止时间:
2021-06-01 至 2026-05-31
关键词:
AddressAdherenceAdvanced Malignant NeoplasmAffectBiometryBiopsyBreast Cancer DetectionBreast Cancer EpidemiologyBreast Cancer Surveillance ConsortiumBreast biopsyCancer DiagnosticsCaringCharacteristicsComplexConsultationsContinuity of Patient CareDataData ScienceData SourcesDecentralizationDiagnosisDiagnosticDiagnostic ImagingDisparityDisparity in diagnosisDisparity populationEducationEquityEthnic OriginEthnic PopulationEvaluationFailureFutureGoalsGuidelinesHealth Services ResearchImageImage Guided BiopsyImaging technologyIndividualInequityInsuranceInterventionLinkLow incomeMalignant NeoplasmsMammographic screeningMammographyMediatingMediationMedicineMinority WomenMorbidity - disease rateNatureObservational StudyOperative Surgical ProceduresOutcomePlayPoliciesPositioning AttributePractice GuidelinesProceduresProviderQuality of CareRaceRadiology SpecialtyRecommendationRegistriesResearchResidential TreatmentResolutionRoleServicesSocioeconomic StatusSpecialistStage at DiagnosisStatistical ModelsSurvival RateTestingTimeTissuesTransportationUnderinsuredVulnerable PopulationsWomanadvanced breast cancerblack womenbreast cancer diagnosisbreast imagingburden of illnesscancer health disparitycancer imagingcare coordinationcare episodeclinically significantdata resourcediagnostic technologiesdisadvantaged womendisparity gapdisparity reductionethnic minorityexperiencefollow-uphealth care deliveryhealth care disparityhealth determinantsimprovedinnovationlow socioeconomic statusmalignant breast neoplasmmortalitymultilevel analysismultiple data sourcesnovelnovel diagnosticsoutcome disparitiespractice factorsracial disparityracial minorityracial populationrural residencescreeningscreening disparitiessocioeconomic disadvantagesocioeconomic disparitystandard of caretumorultrasound

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Project Summary U.S. women of minority race/ethnicity, lower education, lower income, rural residence, and the underinsured experience higher breast cancer disease burden and lower survival rates than women without these characteristics, despite recent improvements in screening access and treatments. The majority of efforts to mitigate these disparities have focused on screening mammography access, but women must navigate multiple additional steps when cancer is suspected, including more imaging, biopsies, and specialist consultations. Each year, >12 million U.S. women enter this diagnostic care continuum. Failure to receive timely, quality evaluation leads to delayed diagnosis, more invasive procedures, advanced cancer stage at diagnosis, and greater mortality. Compared to screening, surprisingly little is known about disparities during this diagnostic period. It is estimated that up to 30% of women with abnormalities detected by mammography fail to obtain appropriate or timely follow-up, and up to 50% of racial/ethnic minorities and socioeconomically disadvantaged women experience such failures. A clearer understanding of disparities along the diagnostic continuum is hindered by the decentralized nature of breast cancer screening and diagnosis in the U.S., with disparities in care likely due to a complex combination of individual, residential, and healthcare delivery factors. We propose to conduct the largest U.S. observational study of disparities in diagnostic breast imaging to date. Specifically, we aim to 1) identify specific subpopulations of women with lower access to and use of key diagnostic imaging technologies; 2) determine differences in diagnostic outcomes that can serve as quality of care indicators based on race/ethnicity and socioeconomic status; and 3) identify differences in timeliness of diagnostic evaluation among disparities populations. We will use multi-level statistical modeling and mediation analyses to account for multifactorial interactions that likely influence inequitable diagnostic care. Our team, the Breast Cancer Surveillance Consortium, consists of national experts in breast cancer epidemiology, biostatistics, health services research, medicine, and radiology. The BCSC represents the largest longitudinal breast cancer imaging data resource linked to long-term outcomes that is representative of the general U.S. population by race/ethnicity. We systematically collect woman-, exam-, residential-, practice-, provider- and tumor-level data across seven regional registries and more than 200 individual practices. With data collected for 13 million breast imaging exams, 5.5 million of which were performed among traditional disparities populations, our team is well-positioned to carry out the proposed analyses. Our study will help shift the breast cancer disparities research paradigm from focusing on screening access to evaluating the entire diagnostic episode. By identifying novel quality of care metrics and “early warning” indicators of disparities, our results will inform both practice-level interventions aimed at closing local disparities gaps and national practice guidelines and policies directed towards more equitable breast cancer diagnostic evaluation.
期刊论文(3)
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会议论文
DOI: 10.1016/j.jacr.2022.07.019
发表时间: 2022-12
期刊: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
影响因子: 4.5
作者: [Lopez, Eric J, Lee, Christoph I]
通讯作者: Lee, Christoph I
Addressing Racial Inequities in Access to State-of-the-Art Breast Imaging.
解决获得最先进的乳腺成像方面的种族不平等问题。
DOI: 10.1148/radiol.222405
发表时间: 2023
期刊: Radiology
影响因子: 19.7
作者: [Lee,ChristophI, Lawson,MarissaB]
通讯作者: Lawson,MarissaB
DOI: 10.1016/j.jacr.2021.09.032
发表时间: 2022-03
期刊: JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY
影响因子: 4.5
作者: [Lawson, Marissa B., Scheel, John R., Onega, Tracy, Carlos, Ruth C., Lee, Christoph, I]
通讯作者: Lee, Christoph, I
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical Translation
  • 批准号:
    10651842
  • 项目类别:
  • 资助金额:
    $61.29万
  • 财政年份:
    2022
  • 负责人:
    CHRISTOPH I LEE
  • 依托单位:
Population-Based Evaluation of Artificial Intelligence for Mammography Prior to Widespread Clinical Translation
  • 批准号:
    10445206
  • 项目类别:
  • 资助金额:
    $67.92万
  • 财政年份:
    2022
  • 负责人:
    CHRISTOPH I LEE
  • 依托单位:
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes
  • 批准号:
    10394189
  • 项目类别:
  • 资助金额:
    $59.08万
  • 财政年份:
    2021
  • 负责人:
    CHRISTOPH I LEE
  • 依托单位:
Racial and Socioeconomic Disparities in Breast Cancer Diagnostic Work Up and Outcomes
  • 批准号:
    10094564
  • 项目类别:
  • 资助金额:
    $66.06万
  • 财政年份:
    2021
  • 负责人:
    CHRISTOPH I LEE
  • 依托单位:
海外基金