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Understanding Reversed Race/Ethnic Associations with Cancer Screening Tests

了解种族/民族与癌症筛查测试的反向关联

基本信息

批准号：
7404442
负责人：
WILLIAM RAKOWSKI
金额：
$ 19.18万
依托单位：
BROWN UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2007
资助国家：
美国
起止时间：
2007-04-12 至 2010-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7404442
关键词：
Address Adoption Age Attention Behavioral Risk Factor Surveillance System Breast Clinical Colorectal Data Data Set Databases Decision Making Diffusion Disease regression Ethnic Origin Ethnic group Factor Analysis Future Generic Drugs Health Information National Trends Survey Individual Insurance Coverage Intervention Logistic Regressions Malignant Neoplasms Mammography Medical Surveillance Morbidity - disease rate Multivariate Analysis National Health Interview Survey Not Hispanic or Latino Numbers Pap smear Persons Play Population Population Group Procedures Process Prostate Purpose Race Rate Recommendation Recording of previous events Relative (related person)Research Research Project Grants Resource Allocation Risk Role Screening for cancer Screening procedure Statistically Significant Surveys Testing Time Translating Weight Woman base cancer prevention male men mortality racial and ethnic trend

项目摘要

DESCRIPTION (provided by applicant): Evidence for disparities in the utilization of screening tests plays a central role in the nation's efforts at cancer prevention and control. Persons in traditionally underserved racial and ethnic groups have had lower screening rates relative to non-Hispanic Whites. In addition, they often have disproportionately higher morbidity and mortality. The process of making decisions about groups in the population who are "at-risk" of lower screening test utilization typically starts with bivariate analyses of the associations between a set of potential covariates and use of a screening test. The next step is to conduct multivariable analysis most often using logistic regression, to identify the final set of variables that achieve statistical significance. This final set of statistically significant variables is then translated into population groups who need targeted interventions to reduce disparities. This proposed research addresses a situation we, and others, have observed in several analyses of cancer screening in population-based data sets. That is, analyses done with different survey databases have found several instances where bivariate associations between race/ethnicity and cancer screening have been "reversed" in multivariable analyses. That is, a group with lower screening in bivariate ("crude rate") analysis shows higher screening based on the "adjusted" results from the multivariable analysis. These reversals may have implications not only for intervention planning, but also for the way that analyses are conducted to identify correlates of a screening procedure. The Specific Aims of this proposed research are: 1.) To investigate the extent of reversals of associations from bivariate to multivariable analyses of the correlates of cancer screening, by examining results several population-level surveys, by using multiple years of each survey, and by expanding the scope of screening tests to include both women and men. 2.) To investigate variables that may explain reversals of association when comparing the results of bivariate and multivariate analyses of factors associated with cancer screening tests. This two-year project will conduct secondary analyses with multiple years of data from three national- level surveys: The National Health Interview Survey, The Behavioral Risk Factor Surveillance System, and the Health Information National Trends Survey. Five screening tests will be examined: mammography, clinical breast exam, Pap testing, prostate exam, and colorectal examination. This research will extend research to date in several ways. First, it greatly expands the number of survey databases being examined. Second, it expands the number of screening tests being reviewed, and gives added attention to male screening. Third, it uses definitions of screening that are as consistent as possible across the individual surveys. Fourth, it uses a consistent set of independent variables across the surveys. Fifth, it will be possible to look for trends over time in the presence of reversals of association for repeat screening.

描述（由申请人提供）：在使用筛查测试的差异的证据在国家的努力在癌症预防和控制中发挥着核心作用。传统上服务不足的种族和族裔群体的人相对于非西班牙裔白人的筛查率较低。此外，他们的发病率和死亡率往往高得不成比例。对人群中具有较低筛查试验利用率“风险”的群体进行决策的过程通常始于对一组潜在协变量与筛查试验使用之间的关联进行双变量分析。下一步是进行多变量分析，最常用的是逻辑回归，以确定达到统计学显著性的最终变量集。最后一组具有统计意义的变量然后转化为需要有针对性的干预措施以减少差异的人口群体。这项拟议的研究解决了我们和其他人在基于人群的数据集中进行癌症筛查的几项分析中观察到的情况。也就是说，对不同调查数据库进行的分析发现，在多变量分析中，种族/民族与癌症筛查之间的双变量关联被“逆转”。也就是说，在双变量（“粗比率”）分析中具有较低筛选的组显示基于来自多变量分析的“调整”结果的较高筛选。这些逆转可能不仅对干预计划有影响，而且对进行分析以识别筛查程序的相关性的方式也有影响。本研究的主要目的是：（1）。通过检查几次人口水平调查的结果，通过使用每次调查的多年数据，并通过扩大筛查试验的范围以包括女性和男性，来调查癌症筛查相关性从双变量到多变量分析的关联逆转程度。2.）的情况。在比较与癌症筛查试验相关因素的双变量和多变量分析结果时，调查可能解释相关性逆转的变量。这个为期两年的项目将对三个国家级调查的多年数据进行二次分析：国家健康访谈调查、行为风险因素监测系统和健康信息国家趋势调查。将进行五项筛查检查：乳房X线摄影、临床乳腺检查、巴氏试验、前列腺检查和结直肠检查。这项研究将在几个方面扩展到目前为止的研究。首先，它大大增加了正在审查的调查数据库的数量。第二，它扩大了正在审查的筛查测试的数量，并对男性筛查给予了更多的关注。第三，它使用了在各个调查中尽可能一致的筛选定义。第四，它在整个调查中使用了一组一致的独立变量。第五，它将有可能寻找趋势随着时间的推移，在逆转的关联重复筛选的存在。