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Clinical utility of a Web-enabled risk-assessment and clinical decision support program.
Abstract
PURPOSE: Risk-stratified guidelines can improve quality of care and cost-effectiveness,
but their uptake in primary care has been limited. MeTree, a Web-based, patient-facing
risk-assessment and clinical decision support tool, is designed to facilitate uptake
of risk-stratified guidelines. METHODS: A hybrid implementation-effectiveness trial
of three clinics (two intervention, one control). PARTICIPANTS: consentable nonadopted
adults with upcoming appointments. PRIMARY OUTCOME: agreement between patient risk
level and risk management for those meeting evidence-based criteria for increased-risk
risk-management strategies (increased risk) and those who do not (average risk) before
MeTree and after. MEASURES: chart abstraction was used to identify risk management
related to colon, breast, and ovarian cancer, hereditary cancer, and thrombosis. RESULTS:
Participants = 488, female = 284 (58.2%), white = 411 (85.7%), mean age = 58.7 (SD
= 12.3). Agreement between risk management and risk level for all conditions for each
participant, except for colon cancer, which was limited to those <50 years of age,
was (i) 1.1% (N = 2/174) for the increased-risk group before MeTree and 16.1% (N =
28/174) after and (ii) 99.2% (N = 2,125/2,142) for the average-risk group before MeTree
and 99.5% (N = 2,131/2,142) after. Of those receiving increased-risk risk-management
strategies at baseline, 10.5% (N = 2/19) met criteria for increased risk. After MeTree,
80.7% (N = 46/57) met criteria. CONCLUSION: MeTree integration into primary care can
improve uptake of risk-stratified guidelines and potentially reduce "overuse" and
"underuse" of increased-risk services.Genet Med 18 10, 1020-1028.
Type
Journal articlePermalink
https://hdl.handle.net/10161/11787Published Version (Please cite this version)
10.1038/gim.2015.210Publication Info
Orlando, Lori A; Wu, R Ryanne; Myers, Rachel A; Buchanan, Adam H; Henrich, Vincent
C; Hauser, Elizabeth R; & Ginsburg, Geoffrey S (2016). Clinical utility of a Web-enabled risk-assessment and clinical decision support program.
Genet Med, 18(10). pp. 1020-1028. 10.1038/gim.2015.210. Retrieved from https://hdl.handle.net/10161/11787.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.
Elizabeth Rebecca Hauser
Professor of Biostatistics & Bioinformatics
The incorporation of personalized medicine to all areas of human health represents
a turning point for human genetics studies, a point at which the discoveries made
have real implications for clinical medicine. It is important for students to gain
experience in how human genetics studies are conducted and how results of those studies
may be used. As a statistical geneticist and biostatistician my research interests
are focused on developing and applying statistical methods to sear
Rachel Myers
Research Scientist, Senior
I am a bioinformatician cross trained as biostatistician and research scientist with
the Department of Medicine Clinical Research Unit. In this role, I manage the Bioinformatics
and Clinical Analytics Team, a team of bioinformaticians, biostatisticians, and data
scientists in supporting the data and quantitative research needs of the Department
of Medicine. I am interested in genomic translational research and enjoy studying
all aspects of genomic translation, from the discovery
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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