Personalized Medicine Decision-Making in a Virtual Clinical Setting
NCT ID: NCT02108041
Last Updated: 2025-12-23
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
196 participants
OBSERVATIONAL
2020-10-08
Brief Summary
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-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:
* Participants will complete a screening form.
* Participants will put on a headset, called a head-mounted display, showing a virtual reality environment.
* The environment will contain an exam room and the virtual patient.
* After interacting with the virtual patient, participants will complete a series of survey measures.
* Participation will last for about 60 minutes. The virtual patient interaction and follow-up questions will be audio taped.
Detailed Description
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Conditions
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Keywords
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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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.
No interventions assigned to this group
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.
No interventions assigned to this group
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.
No interventions assigned to this group
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.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
2. persons who are highly prone to motion sickness;
3. those without normal or normal to corrected vision or hearing;
4. all current and past employees and contractors of NHGRI; and
5. persons who have received information about the study purpose or procedure from a past participant.
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.
21 Years
ALL
No
Sponsors
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National Human Genome Research Institute (NHGRI)
NIH
Responsible Party
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Principal Investigators
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Susan J Persky, Ph.D.
Role: PRINCIPAL_INVESTIGATOR
National Human Genome Research Institute (NHGRI)
Locations
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Johns Hopkins School of Medicine
Baltimore, Maryland, United States
Harvard School of Public Health
Boston, Massachusetts, United States
Michigan State University
Flint, Michigan, United States
Columbia University
New York, New York, United States
University of Oregon
Eugene, Oregon, United States
Countries
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References
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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.
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.
Other Identifiers
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14-HG-N075
Identifier Type: -
Identifier Source: secondary_id
999914075
Identifier Type: -
Identifier Source: org_study_id