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| ID | Type | Description | Link |
|---|---|---|---|
| 14-HG-N075 |
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Background:
-How people respond to drugs depends in part on their genes. For some drugs, doctors can use an individuals genetic background to help in dosing the drug. Researchers want to know how doctors incorporate personalized or genomic medicine into clinical practice.
Objective:
-To study how physicians make personalized treatment decisions
Eligibility:
-Healthy adult primary care physicians who are internal (or family) medicine residents.
Design:
This study will examine factors related to primary care physicians clinical decision-making. Using a virtual clinical interaction experiment, we aim to better understand physicians decision-making processes and to explore their communication behaviors toward patients in the clinical encounter. Physician participants will enter a virtual exam room where they will be asked to respond to a virtual patient, acting as her primary care physician in a follow-up visit to evaluate her for depression. Various aspects of physician communication in the virtual clinic and self-report measures related to decision-making will be analyzed.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Physicians that interact with the black/High SES avatar patien | Medical residents will then be randomized to be exposed to a virtual patient with one of 4 race/SES profiles, this one being a female patient who is Upper-Middle Income and Black/African American. | ||
| Physicians that interact with the black/Low SES avatar patient | Medical residents will then be randomized to be exposed to a virtual patient with one of 4 race/SES profiles, this one being a female patient who is low-Middle Income and Black/African American. | ||
| Physicians that interact with the white race/high SES avatar | Medical residents will then be randomized to be exposed to a virtual patient with one of 4 race/SES profiles, this one being a female patient who is Upper-Middle Income White andCaucasian. | ||
| Physicians that interact with the white race/low SES avatar p | Medical residents will then be randomized to be exposed to a virtual patient with one of 4 race/SES profiles, this one being a female patient who is low Income White and Caucasian. |
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| Measure | Description | Time Frame |
|---|---|---|
| To explore how physicians use genetic testing for anticoagulant (warfarin) dosage in patients of different racial/ethnic and SES backgrounds | To explore how physicians use genetic testing for anticoagulant (warfarin) dosage in patients of different racial /ethnic and SES backgrounds | Outcome measurements are assessed on the same date of the study visit. |
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EXCLUSION CRITERIA:
NHGRI employees are excluded for this protocol because they are likely to have specialized genomic knowledge and may think differently about genomics in the clinical interaction.
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Internal medicine and family medicine residents will be recruited from diverse national sites for the study, and the virtual reality environment will be brought to them through the use of a head-mounted display and laptop
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| Name | Affiliation | Role |
|---|---|---|
| Susan J Persky, Ph.D. | National Human Genome Research Institute (NHGRI) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Johns Hopkins School of Medicine | Baltimore | Maryland | 21205 | United States | ||
| Harvard School of Public Health |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17594129 | Background | Green AR, Carney DR, Pallin DJ, Ngo LH, Raymond KL, Iezzoni LI, Banaji MR. Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. J Gen Intern Med. 2007 Sep;22(9):1231-8. doi: 10.1007/s11606-007-0258-5. Epub 2007 Jun 27. | |
| 23138130 | Background | Armstrong K. Genomics and health care disparities: the role of statistical discrimination. JAMA. 2012 Nov 21;308(19):1979-80. doi: 10.1001/2012.jama.10820. No abstract available. |
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We will provide data contingent on special requests form other researchers.
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| ID | Term |
|---|---|
| D020246 | Venous Thrombosis |
| D013927 | Thrombosis |
| ID | Term |
|---|---|
| D016769 | Embolism and Thrombosis |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
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| Boston |
| Massachusetts |
| 02115 |
| United States |
| Michigan State University | Flint | Michigan | United States |
| Columbia University | New York | New York | 10032-3784 | United States |
| University of Oregon | Eugene | Oregon | United States |