Tailoring Recruitment Communication using Virtual Human Technology to Increase Participation of Older Minority Adults in Clinical Trials

使用虚拟人技术定制招聘沟通，以增加老年少数族裔成年人对临床试验的参与

• 批准号: 10332981
• 负责人: Stephen D Anton
• 金额: $ 76.13万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10332981
• 关键词: Achievement; Address; Adult; African American; Age; Aging; American; Attitude; Awareness; Behavior; Belief; Chronic Disease; Clinical Research; Clinical Trials; Communication; Community Health Aides; Cultural Diversity; Cultural Sensitivity; Custom; Data; Databases; Decision Making; Elderly; Electronic Mail; Empathy; Enrollment; Ethnic group; Exclusion; Family; Feeling; Florida; Focus Groups; Funding; Gender; Goals; Health; Health behavior; Hispanics; Incidence; Intervention; Knowledge; Latinx; Link; Measures; Methods; Minority; Minority Participation; Modality; Morbidity - disease rate; Participant; Patient Recruitments; Patients; Perception; Prevalence; Provider; Recommendation; Recruitment Activity; Registries; Research; Research Personnel; Risk; Rural; Safety; Sampling; Source; Subgroup; Techniques; Technology; Telephone; Text; Time; Trust; Underserved Population; United States National Institutes of Health; Universities; arm; base; clinical examination; clinical trial participant; comparative; comparative efficacy; design; ethnic minority population; experience; follow-up; high risk; improved; interest; literacy; mortality; patient oriented; preference; primary outcome; psychologic; racial and ethnic; recruit; remote delivery; screening; screening participation; social media; tool; trustworthiness; underserved minority; usability; virtual human; web site

PROJECT SUMMARY Older adult minorities are an underserved population, who are at a particularly high risk for developing chronic diseases/health conditions and are significantly underrepresented in clinical research. Well-known barriers, including research-related mistrust (e.g., belief that participants lack choice, mistrust of white researchers), lack of cultural diversity/sensitivity among CT staff, and the exclusion of decisional support providers in decision- making impede older adult minority participation in CTs. Tailoring content and source preferences to be patient- centered, culturally sensitive (i.e., promote feelings of comfort, trust, respect), and personally relevant to the receiver (a patient), thus increasing the likelihood of having a lasting effect on their attitudes and behaviors, has been linked to positive health behaviors by older adult minorities. Such tailoring has not been studied to increase participation rates of older adult minorities into active CTs, though culturally tailored VHT interventions are perceived as trustworthy among minority participants. Our long-term goal is to increase clinical trial (CT) participation among older adult minorities (Black/African American (AA), Hispanic/Latinx (H/L), and/or rural adults over the age of 50) using Virtual Human Technology (VHT). In Aim1, we will conduct focus groups with older adult minorities to obtain data that will be used to redesign ALEX to be culturally sensitive for these minorities. In Aim 2, track engagement of such minorities into active, NIH-funded CTs across different modalities for remotely delivering ALEX. In Aim 3, we will compare ALEX and standard recruitment methods for enrolling such minorities into NIH-funded CTs. Achievement of these project aims will result in adaptable, minimally tailored VHT recruitment intervention for increasing older adult minority participation rates in active NIH-funded CTs.

项目总结