Experience and Perceptions of a Family Health History Risk Assessment Tool among Multi-Ethnic Asian Breast Cancer Patients.
Abstract
A family health history-based risk assessment is particularly valuable for guiding
cancer screening and treatment strategies, yet an optimal implementation depends upon
end-users' values and needs. This is not only true prior to disease development, but
also for those already affected. The aim of this study is to explore perceptions of
the value of knowing one's family health history (FHH)-based risk, experience using
a patient-facing FHH tool and the potential of the tool for wider implementation.
Twenty multi-ethnic Asian patients undergoing breast cancer treatment in Singapore
completed an FHH-based risk assessment. Semi-structured one-on-one interviews were
conducted and data were thematically analyzed. All participants were female and slightly
more than half were Chinese. The acceptance and usage of an FHH risk assessment tool
for cancers and its broader implementation was affected by a perceived importance
of personal control over early detection, patient concerns of anxiety for themselves
and their families due to risk results, concerns for genetic discrimination, adequacy
of follow-up care plans and Asian cultural beliefs toward disease and dying. This
study uniquely sheds light on the factors affecting Asian breast cancer patients'
perceptions about undergoing an FHH-based risk assessment, which should inform steps
for a broader implementation in Asian healthcare systems.
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https://hdl.handle.net/10161/23961Published Version (Please cite this version)
10.3390/jpm11101046Publication Info
Yoon, Sungwon; Goh, Hendra; Fung, Si Ming; Tang, Shihui; Matchar, David; Ginsburg,
Geoffrey S; ... Wu, Rebekah Ryanne (2021). Experience and Perceptions of a Family Health History Risk Assessment Tool among Multi-Ethnic
Asian Breast Cancer Patients. J Pers Med, 11(10). pp. 1046-1046. 10.3390/jpm11101046. Retrieved from https://hdl.handle.net/10161/23961.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Geoffrey Steven Ginsburg
Adjunct Professor in the Department of Medicine
Dr. Geoffrey S. Ginsburg's research interests are in the development of novel paradigms
for developing and translating genomic information into medical practice and the integration
of personalized medicine into health care.
David Bruce Matchar
Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical
policies to their implementation in real world clinical settings. Most recently my
major content focus has been cerebrovascular disease. Other major clinical areas in
which I work include the range of disabling neurological conditions, cardiovascular
disease, and cancer prevention. Notable features of my work are: (1) reliance on
analytic strategies such as meta-analysis, simulation, decision analy
Lori Ann Orlando
Professor of Medicine
Dr. Lori A. Orlando, MD MHS MMCI is a Professor of Medicine and Director of the Precision
Medicine Program in the Center for Applied Genomics and Precision Medicine at Duke
University. She attended Tulane Medical Center for both medical school (1994-1998)
and Internal Medicine residency (1998-2000). There she finished AOA and received a
number of awards for teaching and clinical care from the medical school and the residency
programs, including the Musser-Burch-Puschett award in 2000 for acad
Rebekah Ryanne Wu
Adjunct Associate Professor in the Department of Medicine
Dr. Wu is an internal medicine physician and health services researcher. Her main
research interest is studying the implementation of precision medicine applications
to improve clinical care. She is involved in projects currently looking at a patient-facing
family history risk assessment tool, MeTree, which provides individualized risk stratification
and clinical decision support recommendations to clinicians and patients. In addition
she is also involved in a large scale sequencing program in S
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