Michael P. Fortunato MD , Anthony Girard ScM , Samantha Coratti BA , David Farraday BA , Laurie Norton MA, MBE , Charles Rareshide MA , Jingsan Zhu MS, MBA , Neel Chokshi MD, MBA , Julia E. Szymczak PhD , Tamar Klaiman PhD , Louise B. Russell PhD , Dylan S. Small PhD , Mitesh S. Patel MD, MBA , Kevin G.M. Volpp MD, PhD , Alexander C. Fanaroff MD, MHS
{"title":"调查虚拟随机临床试验注册中的种族和性别差异:BE ACTIVE 研究的启示","authors":"Michael P. Fortunato MD , Anthony Girard ScM , Samantha Coratti BA , David Farraday BA , Laurie Norton MA, MBE , Charles Rareshide MA , Jingsan Zhu MS, MBA , Neel Chokshi MD, MBA , Julia E. Szymczak PhD , Tamar Klaiman PhD , Louise B. Russell PhD , Dylan S. Small PhD , Mitesh S. Patel MD, MBA , Kevin G.M. Volpp MD, PhD , Alexander C. Fanaroff MD, MHS","doi":"10.1016/j.ahj.2024.06.003","DOIUrl":null,"url":null,"abstract":"<div><p>Randomized clinical trials (RCTs) often suffer from a lack of representation from historically marginalized populations, and it is uncertain whether virtual RCTs (vRCTs) enhance representativeness or if elements of their consent and enrollment processes may instead contribute to underrepresentation of these groups. In this study, we aimed to identify disparities in enrollment demographics in a vRCT, the BE ACTIVE study, which recruited patients within a single health system. We discovered that the proportions of eligible patients who were randomized differed significantly by gender and race/ethnicity (men 1.2%, women 2.0%, <em>P</em> < .001; White 1.8%, Black 1.3%, Hispanic 0.7%, Asian 0.9%; <em>P</em> < .001), and compared with White patients, non-White patients were less likely to have a valid email address on file and were less likely to click on the email link to the study webpage and begin enrollment.</p></div>","PeriodicalId":7868,"journal":{"name":"American heart journal","volume":"276 ","pages":"Pages 120-124"},"PeriodicalIF":3.7000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigating racial and gender disparities in virtual randomized clinical trial enrollment: Insights from the BE ACTIVE study\",\"authors\":\"Michael P. Fortunato MD , Anthony Girard ScM , Samantha Coratti BA , David Farraday BA , Laurie Norton MA, MBE , Charles Rareshide MA , Jingsan Zhu MS, MBA , Neel Chokshi MD, MBA , Julia E. Szymczak PhD , Tamar Klaiman PhD , Louise B. Russell PhD , Dylan S. Small PhD , Mitesh S. Patel MD, MBA , Kevin G.M. Volpp MD, PhD , Alexander C. Fanaroff MD, MHS\",\"doi\":\"10.1016/j.ahj.2024.06.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Randomized clinical trials (RCTs) often suffer from a lack of representation from historically marginalized populations, and it is uncertain whether virtual RCTs (vRCTs) enhance representativeness or if elements of their consent and enrollment processes may instead contribute to underrepresentation of these groups. In this study, we aimed to identify disparities in enrollment demographics in a vRCT, the BE ACTIVE study, which recruited patients within a single health system. We discovered that the proportions of eligible patients who were randomized differed significantly by gender and race/ethnicity (men 1.2%, women 2.0%, <em>P</em> < .001; White 1.8%, Black 1.3%, Hispanic 0.7%, Asian 0.9%; <em>P</em> < .001), and compared with White patients, non-White patients were less likely to have a valid email address on file and were less likely to click on the email link to the study webpage and begin enrollment.</p></div>\",\"PeriodicalId\":7868,\"journal\":{\"name\":\"American heart journal\",\"volume\":\"276 \",\"pages\":\"Pages 120-124\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American heart journal\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0002870324001583\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American heart journal","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0002870324001583","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Investigating racial and gender disparities in virtual randomized clinical trial enrollment: Insights from the BE ACTIVE study
Randomized clinical trials (RCTs) often suffer from a lack of representation from historically marginalized populations, and it is uncertain whether virtual RCTs (vRCTs) enhance representativeness or if elements of their consent and enrollment processes may instead contribute to underrepresentation of these groups. In this study, we aimed to identify disparities in enrollment demographics in a vRCT, the BE ACTIVE study, which recruited patients within a single health system. We discovered that the proportions of eligible patients who were randomized differed significantly by gender and race/ethnicity (men 1.2%, women 2.0%, P < .001; White 1.8%, Black 1.3%, Hispanic 0.7%, Asian 0.9%; P < .001), and compared with White patients, non-White patients were less likely to have a valid email address on file and were less likely to click on the email link to the study webpage and begin enrollment.
期刊介绍:
The American Heart Journal will consider for publication suitable articles on topics pertaining to the broad discipline of cardiovascular disease. Our goal is to provide the reader primary investigation, scholarly review, and opinion concerning the practice of cardiovascular medicine. We especially encourage submission of 3 types of reports that are not frequently seen in cardiovascular journals: negative clinical studies, reports on study designs, and studies involving the organization of medical care. The Journal does not accept individual case reports or original articles involving bench laboratory or animal research.