Work

Cultural and Linguistic Adaptation of an Evidence-Based Tailored Navigation Intervention to Increase Cancer Screening Uptake Among Southeast Asian Women

Year: 2025
Type: article
Abstract: Background Southeast Asian immigrant women in the U.S. have high rates of breast and cervical cancer, yet they are the least likely of all racial/ethnic groups to get screened. To address this disparity, we adapted the evidence-based Tailored Intervention Messaging System © (TIMS © ), which uses tailored messages and navigation by culturally and linguistically matched community health advisors to overcome barriers to cancer screening. Objectives This study describes the cultural and linguistic adaptation of TIMS © to improve breast and cervical cancer screening among Southeast Asian immigrant women in the U.S. Methods Guided by Stirman et al.’s adaptation framework, we conducted focus groups and in-depth interviews to identify key constructs related to cancer screening (knowledge, perceived barriers, perceived risk, benefits, self-efficacy). Using the TIMS © and the thematic content from qualitative data, we modified messages for content and context. Messages were divided into three categories: 1) existing messages identified in thematic analyses, 2) existing messages not identified in thematic analyses, and 3) new messages that emerged from thematic analyses. Results Contextual and content modifications were made to the TIMS © message library. Messages were translated into Lao, Khmer, and Vietnamese. Through an iterative process, the investigator, community health advisors, and cultural community advisory board members reviewed and revised the messages for translation accuracy, relevance, and clarity. Conclusion Using relatable language and context is critical to engaging women from Southeast Asian communities in improving breast and cervical cancer screening uptake. This adaptation approach can be applied to tailor interventions for other languages, cultures, and underrepresented groups.
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $2,650
OpenAlex ID: W4409055192
FWCI: 2.548
Cites: 34
Cited by: 3
Related to: 10