National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedChilders CP, Childers KK, Maggard-Gibbons M
National estimates of genetic testing in women with a history of breast or ovarian cancer.
In the United States, 3.8 million women have a history of breast (BC) or ovarian cancer (OC). Up to 15 percent of cases are attributable to heritable mutations, which, if identified, provide critical knowledge for treatment and preventive care. This study found that fewer than one in five individuals with a history of BC or OC meeting select National Cancer Comprehensive Network criteria have undergone genetic testing.
AHRQ-funded; HS025079.
Citation: Childers CP, Childers KK, Maggard-Gibbons M .
National estimates of genetic testing in women with a history of breast or ovarian cancer.
J Clin Oncol 2017 Dec 1;35(34):3800-06. doi: 10.1200/jco.2017.73.6314.
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Keywords: Cancer, Cancer: Breast Cancer, Cancer: Ovarian Cancer, Family Health and History, Genetics, Quality of Care, Screening, Women
Cutting EM, Overby CL, Banchero M
Using workflow modeling to identify areas to improve genetic test processes in the University of Maryland Translational Pharmacogenomics Project.
The researchers used information gained from focus groups in order to illustrate the current process of delivering genetic test results to clinicians. They proposed a business process model and notation (BPMN) representation of this process for a Translational Pharmacogenomics Project being implemented at the University of Maryland Medical Center. They found that the current process could be improved to reduce input errors, better inform and notify clinicians about the implications of certain genetic tests, and make results more easily understood. They demonstrated theiruse of BPMN to improve this important clinical process for CYP2C19 genetic testing.
AHRQ-funded; HS023390.
Citation: Cutting EM, Overby CL, Banchero M .
Using workflow modeling to identify areas to improve genetic test processes in the University of Maryland Translational Pharmacogenomics Project.
AMIA Annu Symp Proc 2015 Nov 5;2015:466-74.
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Keywords: Genetics, Diagnostic Safety and Quality, Medication, Workflow, Quality Improvement, Quality of Care, Organizational Change