Racial Disparity in Diagnostic Evaluation of Uterine Cancer
子宫癌诊断评估中的种族差异
基本信息
- 批准号:10888758
- 负责人:
- 金额:$ 33.7万
- 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
- 起止时间:2021-08-27 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Uterine cancer is the most common gynecologic malignancy in the U.S., with a two-fold higher risk of mortality
for black women than white women. Early diagnosis is vital for patients’ prognosis as it greatly improves the
effectiveness of subsequent treatment. Evidence has shown a significant black-white difference in uterine
cancer stage at diagnosis (53% of black women versus 69% of white women are diagnosed at early stage),
which explains more of the racial gap in mortality risk than any other factor. However, there has been little
research elucidating barriers in the diagnostic pathway that lead to this disparity in early diagnosis, and
reasons for the more advanced-stage uterine cancer in black women remain largely unclear, hindering our
ability to address this important health inequity. Since many factors in the diagnostic pathway may be
modifiable and amenable to interventions, this reflects a lost opportunity of secondary prevention (i.e., early
detection and control of the cancerous process). The overarching objective of this project is to reduce racial
disparity in the early diagnosis of uterine cancer by systematically examining patients’ diagnostic pathway and
identifying barriers to early diagnosis in black women. We will achieve this objective via the following specific
aims: 1) to examine racial disparity between black and white women with uterine cancer in the quality of
diagnostic evaluation they receive; 2) to compare symptoms and diagnostic evaluation of women who have
early versus advanced stage uterine cancer and examine their role in influencing racial disparity in stage at
diagnosis; and 3) to conduct a population-based patient experience survey and link to cancer registry data to
examine how sociocultural, behavioral and access barriers affect disparity in uterine cancer diagnosis. Aims 1-
2 will draw on three unique large healthcare databases that have patient-level indicators of race/ethnicity and
socioeconomic status, contain a complete record of patients’ diagnostic pathway starting from the time when
symptoms are reported to a provider, and cover a diverse patient population encompassing the commercially
insured, Medicaid enrollees, and Medicare beneficiaries. These databases include the Optum Clinformatics
Data Mart, the MarketScan Multi-State Medicaid Database, and the Surveillance, Epidemiology and End
Results (SEER)-Medicare database. Aim 3 will exploit the infrastructure of statewide cancer registries and the
latest technology of rapid case ascertainment to survey a population-based sample of women newly diagnosed
with uterine cancer about their experience. By further linking patient reported survey data to pathology/clinical
data in cancer registry, we can uniquely examine how sociocultural, behavior, and patient-perceived barriers
affect uterine cancer stage at diagnosis and the potential interplay between tumor characteristics (e.g.,
histologic type) and patient experience. Findings from this study will provide an essential evidence base about
causes of racial disparity in uterine cancer diagnosis. Such information can guide meaningful design of
targeted interventions to promote early diagnosis in black women and reduce disparity.
子宫癌是美国最常见的妇科恶性肿瘤,死亡率是美国的两倍
黑人女性胜过白人女性。早期诊断对患者的预后至关重要,因为它可以极大地改善患者的预后
后续治疗的有效性。有证据表明,在子宫中存在显著的黑白差异
癌症诊断阶段(53%的黑人女性比69%的白人女性在早期诊断出癌症),
这比其他任何因素都更能解释死亡风险的种族差异。然而,几乎没有
研究阐明了导致早期诊断差异的诊断途径中的障碍,以及
黑人女性患晚期子宫癌的原因在很大程度上仍不清楚,这阻碍了我们的
有能力解决这一重要的健康不平等问题。由于诊断途径中的许多因素可能是
这是可修改的,也是受干预的,这反映了二级预防(即早期预防)机会的丧失
癌症过程的检测和控制)。这个项目的首要目标是减少种族歧视
系统检查患者的诊断途径和方法在子宫癌早期诊断中的差异
找出黑人女性早期诊断的障碍。我们将通过以下具体措施实现这一目标
目的:1)检查患有子宫癌的黑人和白人妇女之间的种族差异
他们接受的诊断评估;2)比较症状和诊断评估
早期和晚期子宫癌的比较,并研究它们在影响早期和晚期子宫癌种族差异中的作用。
诊断;以及3)进行以人群为基础的患者体验调查,并与癌症登记数据建立联系,以
研究社会文化、行为和获取障碍如何影响子宫癌诊断的差异。AIMS 1-
2将利用三个独特的大型医疗保健数据库,这些数据库具有患者级别的种族/民族指标和
社会经济状况,包含从以下时间开始的患者诊断路径的完整记录
症状被报告给提供者,并涵盖商业上的不同患者群体
参保人、联邦医疗补助登记人和联邦医疗保险受益人。这些数据库包括Optom Clinformatics
数据集市,MarketScan多州医疗补助数据库,以及监测、流行病学和完
结果(SEER)-医疗保险数据库。AIM 3将利用全州癌症登记和
最新快速病例确证技术对新确诊妇女的人群抽样调查
关于他们患子宫癌的经历。通过进一步将患者报告的调查数据与病理/临床联系起来
在癌症登记处的数据中,我们可以独特地检查社会文化、行为和患者感知的障碍
影响诊断时的子宫癌分期和肿瘤特征之间的潜在相互作用(例如,
组织学类型)和患者经验。这项研究的发现将为以下方面提供重要的证据基础
子宫癌诊断中种族差异的原因。这些信息可以指导有意义的设计
有针对性的干预措施,促进黑人妇女的早期诊断,减少差异。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Black-White differences in uterine cancer symptomatology and stage at diagnosis.
子宫癌症状和诊断分期的黑白差异。
- DOI:10.1016/j.ygyno.2023.11.029
- 发表时间:2024
- 期刊:
- 影响因子:4.7
- 作者:Xu,Xiao;Chen,Ling;Nunez-Smith,Marcella;Clark,Mitchell;Ferris,JenniferS;Hershman,DawnL;Wright,JasonD
- 通讯作者:Wright,JasonD
Timeliness of diagnostic evaluation for postmenopausal bleeding: A retrospective cohort study using claims data.
- DOI:10.1371/journal.pone.0289692
- 发表时间:2023
- 期刊:
- 影响因子:3.7
- 作者:
- 通讯作者:
Racial disparities in diagnostic evaluation of uterine cancer among Medicaid beneficiaries.
医疗补助受益人子宫癌诊断评估中的种族差异。
- DOI:10.1093/jnci/djad027
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Xu,Xiao;Chen,Ling;Nunez-Smith,Marcella;Clark,Mitchell;Wright,JasonD
- 通讯作者:Wright,JasonD
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Jason Wright其他文献
Jason Wright的其他文献
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{{ truncateString('Jason Wright', 18)}}的其他基金
Racial Disparity in Diagnostic Evaluation of Uterine Cancer
子宫癌诊断评估中的种族差异
- 批准号:
10276384 - 财政年份:2021
- 资助金额:
$ 33.7万 - 项目类别:
Racial Disparity in Diagnostic Evaluation of Uterine Cancer
子宫癌诊断评估中的种族差异
- 批准号:
10610935 - 财政年份:2021
- 资助金额:
$ 33.7万 - 项目类别:
The Influence of Hospital Variability on the Management of Cancer-Associated Comp
医院变异性对癌症相关补偿管理的影响
- 批准号:
8457724 - 财政年份:2013
- 资助金额:
$ 33.7万 - 项目类别:
The Influence of Hospital Variability on the Management of Cancer-Associated Comp
医院变异性对癌症相关补偿管理的影响
- 批准号:
8601054 - 财政年份:2013
- 资助金额:
$ 33.7万 - 项目类别:
The Influence of Hospital Variability on the Management of Cancer-Associated Comp
医院变异性对癌症相关补偿管理的影响
- 批准号:
8976833 - 财政年份:2013
- 资助金额:
$ 33.7万 - 项目类别:
The Influence of Hospital Variability on the Management of Cancer-Associated Comp
医院变异性对癌症相关补偿管理的影响
- 批准号:
8804245 - 财政年份:2013
- 资助金额:
$ 33.7万 - 项目类别:
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