Conjoint analysis to measure physician discrimination toward African Americans

联合分析衡量医生对非裔美国人的歧视

• 批准号: 8430262
• 负责人: Sarah J Miller
• 金额: $ 8.48万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8430262
• 关键词: African American; Behavior; Belief; Characteristics; Colonoscopy; Colorectal Cancer; Conscious; Data; Disadvantaged; Discrimination; Enrollment; Gender; Gold; Health Status; Health behavior; Healthcare; Healthcare Systems; Hispanics; Income; Individual; Institute of Medicine (U.S.); Intervention; Laboratories; Light; Measurement; Measures; Mediating; Medical; Methodology; Methods; Minority; Minority Groups; Modeling; Morbidity - disease rate; National Research Council; Obesity; Participant; Patient Self-Report; Patients; Physicians; Play; Primary Care Physician; Primary Health Care; Public Health; Questionnaires; Race; Recommendation; Regression Analysis; Research; Role; Series; Social Desirability; Testing; Unconscious State; United States National Institutes of Health; Woman; base; cancer health disparity; colorectal cancer screening; computer generated; ethnic discrimination; health care delivery; health disparity; improved; innovation; interest; mortality; prospective; public health relevance; racial and ethnic; racial discrimination; response; sound; uptake

DESCRIPTION (provided by applicant): The National Research Council defines discrimination as "differential treatment on the basis of race that disadvantages a racial group." Decades of research have found that well-intentioned physicians discriminate by providing unequal healthcare recommendations to minorities versus whites. Physicians' discrimination, though often unintentional, can play a significant role in creating and perpetuating disparities. The National Institute of Health (NIH) (PA-11-164) recognizes the critical need to empirically measure racial discrimination in healthcare in order to reduce health disparities. Despite the serious public health repercussions of physicians' discrimination, no gold standard assessment method has yet been developed to measure such discrimination. To date, the assessment methods that have been used to measure physicians' discrimination (e.g., self-report) have serious limitations (e.g., tainted by social desirability effects). Given the limitations in the previously studied assessment methods, PA-11-164 calls for research to "improve the measurement of racial/ethnic discrimination in healthcare delivery" in order to move toward eliminating the unequal treatment of minorities in our healthcare system. In direct response to this call for research, the proposed R03 aims to test an innovative assessment method, conjoint analysis, to examine the role of patients' race on physicians' treatment recommendations. Conjoint analysis is an assessment method that asks participants to respond to a series of computer-generated vignettes that vary on multiple factors (e.g., hypothetical patients' race, income, and health status). Conjoint analysis has the unique ability to overcome the limitations in the previously used assessment methods because: 1) it can detect socially undesirability effects (e.g., discrimination); and, 2) it has been found to be an excellent predictor of real worl behavior. For the proposed project, conjoint analysis will be used to detect physicians' discrimination against African Americans in the delivery of colorectal cancer (CRC) screening recommendations (i.e., colonoscopy, FOBT, FIT). Physicians' differing CRC screening recommendations can have direct consequences on CRC disparities. Aim 1 is to examine whether conjoint analysis can detect the role of patients' race on physicians' recommendations for CRC screenings. Aim 2 is to explore whether physicians' beliefs about patients' health behaviors (as determined by conjoint analysis) will mediate the relationship between patients' race and physicians' recommendations. Aim 3 is to explore whether physician characteristics (e.g., gender, race) moderate the relationship between patients' race and physicians' CRC screening recommendations. To achieve these aims, we will enroll 732 primary care physicians to participate in the conjoint study. The results of the R03 will contribute to the growing literatre on physicians' discrimination toward African Americans in recommending colorectal cancer screenings.

描述（由申请人提供）：国家研究理事会将歧视定义为“基于种族的差别待遇，使一个种族群体处于不利地位。“几十年的研究发现，善意的医生通过向少数民族和白人提供不平等的医疗建议来进行歧视。医生的歧视虽然往往是无意的，但在造成和延续不平等方面可以发挥重要作用。国家卫生研究所（NIH）（PA-11-164）认识到，迫切需要以经验为依据衡量医疗保健中的种族歧视，以减少健康差距。尽管医生的歧视对公共卫生造成了严重影响，但尚未制定出衡量这种歧视的金标准评估方法。迄今为止，用于衡量医生歧视的评估方法（例如，自我报告）具有严重的局限性（例如，受社会期望效应的影响）。鉴于先前研究的评估方法的局限性，PA-11-164呼吁研究“改善医疗保健提供中种族/民族歧视的测量”，以消除我们医疗保健系统中对少数民族的不平等待遇。为了直接响应这一研究呼吁，拟议的R 03旨在测试一种创新的评估方法，联合分析，以检查患者种族对医生治疗建议的作用。联合分析是一种评估方法，要求参与者对一系列计算机生成的小插曲做出回应，这些小插曲因多个因素而异（例如，假设患者的种族、收入和健康状况）。联合分析具有克服先前使用的评估方法的局限性的独特能力，因为：1）它可以检测社会不受欢迎的影响（例如，歧视）;和，2）它已被发现是一个很好的预测真实的世界行为。对于拟议的项目，联合分析将用于检测医生在提供结直肠癌（CRC）筛查建议时对非洲裔美国人的歧视（即，结肠镜检查、FOBT、FIT）。医生不同的CRC筛查建议可能对CRC差异产生直接影响。目的1是检查联合分析是否可以检测患者种族对医生推荐的CRC筛查的作用。目的2是探讨医生对患者健康行为的信念（通过联合分析确定）是否会介导患者种族和医生建议之间的关系。目的3是探索医生特征（例如，性别、种族）调节患者种族与医生CRC筛查建议之间的关系。为了实现这些目标，我们将招募732名初级保健医生参加联合研究。R 03的结果将有助于增加医生在推荐结直肠癌筛查时对非洲裔美国人的歧视。