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-猫眼课题宝

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：

10674054

负责人：

Stephen D Anton

金额：

$0.0万

依托单位：

UNIVERSITY OF FLORIDA

依托单位国家：

美国

项目类别：

财政年份：

2021

资助国家：

美国

项目状态：

已结题

起止时间：

2021-09-30 至 2023-09-02

来源：

https://reporter.nih.gov/project-details/10674054

关键词：

Achievement Address Adult African American Age Aging American Attitude Awareness Behavior Belief Black Populations Black race Chronic Disease Clinical Research Clinical Trials Communication Community Health Aides Cultural Diversity Cultural Sensitivity Data Databases Decision Making Elderly Electronic Mail Empathy Enrollment Ethnic Origin Ethnic Population Exclusion Family Feeling Florida Focus Groups Funding Gender Goals Health Health behavior Hispanic Incidence Intervention Knowledge Latinx Link Measures Methods Minority Minority Participation Modality Morbidity - disease rate Participant Patient Recruitments Patients Perception Prevalence Provider Race 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 clinical examination clinical trial participant clinical trial recruitment comparative comparative efficacy design ethnic minority experience follow-up high risk improved interest literacy mortality patient oriented preference primary outcome psychologic racial population recruit remote delivery screening social media tool trustworthiness underserved minority usability virtual human web site

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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.

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