PO.CL04.02 · 临床研究

CAHR模型:一种面向亚裔美国乳腺癌幸存者的文化适应型混合招募策略

The CAHR-model: A culturally adaptive hybrid recruitment strategy for Asian American breast cancer survivors

海报缩略图:CAHR模型:一种面向亚裔美国乳腺癌幸存者的文化适应型混合招募策略
编号 2482 展板 12 时间 4/20 09:00–12:00 区域 Section 42 主讲 Yeeun Kim, MSN
分会场 Community-Engaged Approaches to Equity Across the Cancer Journey: From Prevention to Trial Design
查看 PDF 下载 PDF 🔒 查看 / 下载完整 PDF 需登录并开通下载套餐 · 查看套餐 / 开通 AACR 官方页面

作者与单位 Authors & Affiliations

Dongmi Kim, Seulgi Ryu, Yeeun Kim, Wonshik Chee, Eun-Ok Im

The University of Texas at Austin, Austin, TX

摘要 Abstract

中文摘要
背景:由于文化污名、语言多样性和隐私顾虑,亚裔美国乳腺癌幸存者在幸存者研究和行为健康研究中仍然代表性不足。为应对这些障碍,需要借助可信赖的关系和族群偏好的沟通渠道、制定文化契合的外展策略。本研究描述了文化适应型混合招募模型(CAHR-Model),该模型将社区顾问与针对特定族群的数字化外展相结合,以在美国招募亚裔美国乳腺癌幸存者。 方法:CAHR-Model通过一种整合性方法开发而成,该方法结合了证据综合、社区协作、试点实施和迭代优化。对既往研究的回顾识别出诸如语言不一致、污名和隐私顾虑等障碍,以及诸如集体主义价值观、社区信任和日益增多的基于技术的沟通等促进因素。鉴于亚裔社区中数字连接日益增强,研究团队将技术赋能的外展作为一项核心策略纳入其中。在这些洞见的指导下,与社区领袖、幸存者倡导者、医疗保健专业人员和信仰组织联络人进行的咨询,勾勒出了跨越韩裔、华裔和日裔亚组的文化契合沟通路径。社区顾问在通过可信赖的网络接触潜在参与者、以及提供反馈以优化招募信息和传递方式方面发挥了关键作用。这一迭代过程形成了一个将社区信任与有针对性的数字化外展相结合的双渠道框架,以增强招募效果。 结果:这一混合方法增强了信任、扩大了地域覆盖范围,并促进了文化上有意义的参与。社区顾问,尤其是医疗保健相关联络人(如社区卫生工作者和幸存者同伴),通过个人转介实现了最高的入组转化率。韩裔参与者最常通过KakaoTalk和MissyUSA参与数字平台,华裔通过WeChat和RED(小红书),日裔幸存者通过Vivinavi。数字化外展还有效地触及了较年轻的幸存者以及那些与正式网络联系较少的人群。 结论:CAHR-Model植根于社区信任和特定族群的数字生态系统,在招募亚裔美国乳腺癌幸存者方面展现出有效性。这一文化适应型、可扩展的框架提供了一个切实可行的模型,有助于加强未来乳腺癌幸存者研究和行为健康研究中的参与度和代表性。
查看英文原文 English abstract
Background: Asian American breast cancer survivors remain underrepresented in survivorship and behavioral health research due to cultural stigma, linguistic diversity, and privacy concerns. To address these barriers, culturally aligned outreach strategies leveraging trusted relationships and ethnic-preferred communication channels are needed. This study describes the Culturally Adaptive Hybrid Recruitment Model ( CAHR-Model), which integrates community consultants with ethnic-specific digital outreach to recruit Asian American breast cancer survivors in the United States. Methods: The CAHR-Model was developed through an integrative approach combining evidence synthesis, community collaboration, pilot implementation, and iterative refinement. A review of prior research identified barriers such as language discordance, stigma, and privacy concerns as well as facilitators such as collectivist values, community trust, and increasing technology-based communication. Recognizing growing digital connectivity within Asian communities, the research team incorporated technology-enabled outreach as a core strategy. Guided by these insights, consultations with community leaders, survivor advocates, healthcare professionals, and faith-based connectors mapped culturally congruent communication pathways across Korean, Chinese, and Japanese subgroups. Community consultants played a key role in reaching potential participants through trusted networks and providing feedback to refine recruitment messages and delivery. This iterative process led to a dual-channel framework integrating community trust with targeted digital outreach to enhance recruitment. Results: This hybrid approach enhanced trust, expanded geographic reach, and fostered culturally meaningful engagement. Community consultants, especially healthcare-affiliated connectors such as community health workers and survivor peers, achieved the highest enrollment conversion rates through personal referrals. Korean participants most often engaged digital platforms through KakaoTalk and MissyUSA , Chinese through WeChat and RED , and Japanese survivors through Vivinavi. Digital outreach also effectively reached younger survivors and those less connected to formal networks. Conclusion: Anchored in community trust and ethnic-specific digital ecosystems, the CAHR-Model demonstrated effectiveness in recruiting Asian American breast cancer survivors. This culturally adaptive and scalable framework offers a practical model to strengthen participation and representation in future breast survivorship and behavioral health research.
利益披露 Disclosure
D. Kim, None.. S. Ryu, None.. Y. Kim, None.. W. Chee, None.. E. Im, None.

← 返回 AACR 2026 检索