ArticleHGG advances2022
Assessing Vietnamese American patient perspectives on population genetic testing in primary care: A community-engaged approach.
Article in HGG advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Survey Modalities and COVID-19 Vaccine Uptake in Vietnamese Americans: Cross-Sectional Study.JMIR public health and surveillance · 2026Article
- Parental knowledge and attitudes toward genetic counseling and childhood genetic testing for congenital anomalies in Qatar.Journal of genetic counseling · 2025Article
- Primary care patient and clinician attitudes about population genomic screening, informed decision-making needs, and the potential for Chatbot technology.Journal of genetic counseling · 2025Article
- Inconvenient sampling: Community-engaged and restorative justice approaches to genetic counseling student research.Journal of genetic counseling · 2025Article
- Engaging communities: A scoping literature review of community-based participatory research in genetics service delivery settings.Journal of community genetics · 2024Article
- Experiences across a genetic screening and testing programme pathway: a qualitative study of mammogram patient perspectives.BMJ open · 2024Article
- Personalized medicine in a community health system: the NorthShore experience.Frontiers in genetics · 2023Article
- Addressing underrepresentation in genomics research through community engagement.American journal of human genetics · 2022Review
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Achieving health equity in precision medicine remains a critical challenge because of the continued underrepresentation of non-white populations in research and barriers to genetic services. The goal of this study was to explore Vietnamese American (VA) participant views toward incorporating genetics in routine healthcare to better serve the local VA community within an integrated health system offering primary care-based population genetic testing to adults for conditions that could be prevented or mitigated when detected early. We conducted semi-structured interviews from August-September 2021, with 22 individuals receiving primary care who self-identified as Vietnamese or VA, and employed rapid qualitative analysis (RQA) to identify key concepts. Community research team members participated in study design, data collection, RQA, and reporting. Findings from the interviews revealed that several participant perceived challenges to genetic testing, which included lack of information, fear of results impact, cost, and privacy concerns. Participants suggested various ways to overcome some of these barriers, such as decreasing the cost of testing, receiving information from a trusted physician, using preferred education strategies in the community, and having convenient access to testing. Study participants also shared a variety of trusted sources they would seek out for advice on genetic testing. This study with VAs identified barriers, facilitators, and messengers to offering genetic testing in a local healthcare context and demonstrated how community-engaged research coupled with RQA is a promising approach for healthcare institutions as they identify needs and tailor strategies for implementing population genetic screening programs in local ethnic communities.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.