Geographic and Racial Disparities in Mammography Screening and Barriers to Receiving Care
乳房 X 线摄影筛查的地理和种族差异以及接受护理的障碍
基本信息
- 批准号:10040239
- 负责人:
- 金额:$ 12.15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-10 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:AchievementAddressAffectAreaAwardBayesian AnalysisBayesian MethodBehavioral Risk Factor Surveillance SystemBreastBreast Cancer Early DetectionBreast Cancer Risk FactorCancer ControlCaringCommunitiesComplementCountyDataDevelopmentDiagnosisEconomic FactorsEpidemiologyEthnic OriginFoundationsFundingGeographyGoalsGrantHealth CommunicationHispanicsHot SpotIndividualInterdisciplinary StudyInterventionIntervention StudiesInterviewLongitudinal StudiesMalignant NeoplasmsMammographic screeningMammographyMentorsMethodologyMethodsMinorityNational Health Interview SurveyOutcomePatient RecruitmentsPatternPilot ProjectsPopulationPrevalencePublic HealthPublicationsPublishingRaceReportingResearchResearch ActivityResearch DesignResearch MethodologyResearch PersonnelResourcesRiskSamplingStructureSurveysTrainingUnited StatesUnited States National Institutes of HealthWomanWorkadvanced breast canceranalytical methodbasecancer epidemiologycancer health disparitycancer preventioncareer developmentcommunity based participatory researchethnic minority populationexperiencefollow-upgeographic differencehigh riskindexinginnovationinsightmalignant breast neoplasmmortalitymortality riskmultidisciplinarynovelracial and ethnicracial differenceracial disparityracial minorityrecruitresearch and developmentscreeningsegregationsocial epidemiologysocial health determinantssocioeconomicsspatial epidemiologyuptake
项目摘要
PROJECT SUMMARY
This K01 proposal entitled “Geographic and Racial Disparities in Mammography Screening and Barriers to
Receiving Care” describes the career development and research plan that will be instrumental in the
development of Dr. Justin Xavier Moore’s transition into an independent investigator in the field of breast
cancer disparity and community-based participatory research. Dr. Moore has a background in epidemiology
and cancer prevention and control that includes training in quantitative methods, research design, geospatial
analysis, and social epidemiology. However, this grant will provide Dr. Moore with additional needed training in
Bayesian methodology and inference, qualitative and mixed-methods, health communication, participant
recruitment, and community-participatory research through a combination of courses, independent studies with
hands on focus, and mentoring. Dr. Moore’s interdisciplinary mentors include researchers with achievements in
breast cancer disparities research, cancer health communication through community-based participatory
research, qualitative and mixed methods approaches as indicated through their multiply funded NIH awards.
Further, their expertise will provide the necessary support for the career development and research activities of
the study proposed in this application by Dr. Moore.
The proposed research will provide valuable insight to the field of breast cancer disparities and address key
public health questions of relevance to racial and geographic disparities in breast cancer using innovative
analytical methods. It will combine Dr. Moore’s expertise in spatial and cancer epidemiology with the mentors’
expertise in large intervention studies on breast cancer, health communication and community-based
participatory research, and mixed-methods analysis to understand the individual, interpersonal, community
facilitators of mammography screening among minority (Hispanic and Black) women living in the highest risk
communities of the United States. The research includes specific aims that be will achieved using
interdisciplinary research methods including Bayesian methodology for small-area estimates of mammography
screening, semi-structured interviews, and survey research among those recruited within the pilot study. The
aims include: (1) identifying areas of low mammography screening among Black and Hispanic women using
novel small-area estimation; 2) quantifying a novel index of high-risk counties for breast cancer among Blacks
and Hispanics, and 3) performing a pilot study among Black and Hispanic women, stratified among the novel
index, to understand the personal, interpersonal, and community barriers on intentions to receiving
mammography screening. Through the proposed research the investigator will understand culturally specific
barriers and develop a strong rapport within high-risk communities using a community-based approach that will
provide a foundation to develop a larger longitudinal study with sustainable interventions.
项目概要
这项 K01 提案题为“乳房 X 光检查筛查的地理和种族差异以及障碍”
接受护理”描述了职业发展和研究计划,这将有助于
Justin Xavier Moore 博士转型为乳腺领域独立研究者的历程
癌症差异和基于社区的参与性研究。摩尔博士具有流行病学背景。
癌症预防和控制,包括定量方法、研究设计、地理空间方面的培训
然而,这笔赠款将为摩尔博士提供额外所需的培训。
贝叶斯方法和推理、定性和混合方法、健康传播、参与者
通过课程、独立研究和
摩尔博士的跨学科导师包括在以下领域取得成就的研究人员。
乳腺癌差异研究、通过社区参与进行癌症健康传播
研究、定性和混合方法方法通过其多重资助的 NIH 奖项表明。
此外,他们的专业知识将为职业发展和研究活动提供必要的支持
摩尔博士在本申请中提出的研究。
拟议的研究将为乳腺癌差异领域提供有价值的见解,并解决关键问题
利用创新技术解决与乳腺癌种族和地理差异相关的公共卫生问题
它将结合摩尔博士在空间和癌症流行病学方面的专业知识与导师的知识。
乳腺癌大型干预研究、健康传播和社区基础方面的专业知识
参与式研究和混合方法分析,以了解个人、人际、社区
对生活在最高风险的少数族裔(西班牙裔和黑人)妇女进行乳房X光检查的促进者
该研究包括将通过使用来实现的具体目标。
跨学科研究方法,包括用于乳腺 X 线摄影小面积估计的贝叶斯方法
对试点研究中招募的人员进行筛选、半结构化访谈和调查研究。
目标包括:(1) 使用
新颖的小区域估计;2)量化黑人乳腺癌高风险县的新指数
和西班牙裔,3)在黑人和西班牙裔女性中进行试点研究,在小说中分层
指数,了解个人、人际和社区在接收意愿方面的障碍
通过拟议的研究,研究者将了解特定文化。
使用基于社区的方法消除障碍并在高风险社区内建立牢固的融洽关系,
为开展具有可持续干预措施的更大规模纵向研究奠定基础。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Justin Xavier Moore其他文献
Community characteristics and regional variations in sepsis.
脓毒症的社区特征和区域差异。
- DOI:
10.1093/ije/dyx099 - 发表时间:
2017-10-01 - 期刊:
- 影响因子:7.7
- 作者:
Justin Xavier Moore;J. Donnelly;R. Griffin;M. Safford;G. Howard;J. Baddley;Henry E. Wang - 通讯作者:
Henry E. Wang
Justin Xavier Moore的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Justin Xavier Moore', 18)}}的其他基金
Geographic and Racial Disparities in Mammography Screening and Barriers to Receiving Care
乳房 X 线摄影筛查的地理和种族差异以及接受护理的障碍
- 批准号:
10412072 - 财政年份:2020
- 资助金额:
$ 12.15万 - 项目类别:
Geographic and Racial Disparities in Mammography Screening and Barriers to Receiving Care
乳房 X 线摄影筛查的地理和种族差异以及接受护理的障碍
- 批准号:
10592431 - 财政年份:2020
- 资助金额:
$ 12.15万 - 项目类别:
相似国自然基金
本体驱动的地址数据空间语义建模与地址匹配方法
- 批准号:41901325
- 批准年份:2019
- 资助金额:22.0 万元
- 项目类别:青年科学基金项目
时空序列驱动的神经形态视觉目标识别算法研究
- 批准号:61906126
- 批准年份:2019
- 资助金额:24.0 万元
- 项目类别:青年科学基金项目
针对内存攻击对象的内存安全防御技术研究
- 批准号:61802432
- 批准年份:2018
- 资助金额:25.0 万元
- 项目类别:青年科学基金项目
大容量固态硬盘地址映射表优化设计与访存优化研究
- 批准号:61802133
- 批准年份:2018
- 资助金额:23.0 万元
- 项目类别:青年科学基金项目
IP地址驱动的多径路由及流量传输控制研究
- 批准号:61872252
- 批准年份:2018
- 资助金额:64.0 万元
- 项目类别:面上项目
相似海外基金
The University of Miami AIDS Research Center on Mental Health and HIV/AIDS - Center for HIV & Research in Mental Health (CHARM)
迈阿密大学艾滋病心理健康和艾滋病毒/艾滋病研究中心 - Center for HIV
- 批准号:
10686541 - 财政年份:2023
- 资助金额:
$ 12.15万 - 项目类别:
Neurosurgeon Research Career Development Program (NRCDP)
神经外科医生研究职业发展计划 (NRCDP)
- 批准号:
10787021 - 财政年份:2023
- 资助金额:
$ 12.15万 - 项目类别:
Undernutrition, microbiota maturation, and adaptive immunity in Bangladeshi children
孟加拉国儿童的营养不良、微生物群成熟和适应性免疫
- 批准号:
10718949 - 财政年份:2023
- 资助金额:
$ 12.15万 - 项目类别:
Non-APOL1 genetic factors and kidney transplant outcomes
非 APOL1 遗传因素与肾移植结果
- 批准号:
10717171 - 财政年份:2023
- 资助金额:
$ 12.15万 - 项目类别:
Earlier-Life Predictors of Midlife Risk Factors for Dementia: A 35-Year Follow-up
中年痴呆症风险因素的早期预测因素:35 年随访
- 批准号:
10596295 - 财政年份:2023
- 资助金额:
$ 12.15万 - 项目类别: