Study Aims
- Identify unaffected primary care patients who qualify for genetic risk assessment using a clinical decision support algorithm to automatically evaluate family history of cancer.
- Compare uptake of genetic testing for patient-directed vs. enhanced standard of care genetic services delivery models among unaffected primary care patients.
- Compare adherence to clinical care recommendations and patient cognitive and affective responses for the genetic services delivery models.
Funder: National Cancer Institute
Grant number: U01CA232826
Related publication:
- Comparing models of delivery for cancer genetics services among patients receiving primary care who meet criteria for genetic evaluation in two healthcare systems: BRIDGE randomized controlled trial
- Patient Interactions With an Automated Conversational Agent Delivering Pretest Genetics Education: Descriptive Study
Study Team
Collaborators
Genetics
- Wendy Kohlmann, MS, CGC
Huntsman Cancer Institute - Rachelle Chambers, MS, CGC
Perlmutter Cancer Center - Sarah Colonna, MD
Huntsman Cancer Institute - Josh Schiffman, MD
Huntsman Cancer Institute - Cecilia Kessler
Huntsman Cancer Institute - Priscilla Chan
Perlmutter Cancer Center - Genetic Counseling Shared Resource
Huntsman Cancer Institute
Biomedical Informatics
- Ken Kawamoto, MD, PhD, MHS
University of Utah - Guilherme Del Fiol, MD, PhD
University of Utah - Rick Bradshaw, PhD, MS
University of Utah - Devin Mann, MD, MS
New York University
Advisory Board
- Kola Okuyemi, MD
University of Utah - Will Dere, MD
University of Utah - Jeff Botkin, MD
University of Utah - John Barrett, MD
University of Utah - Neli Ulrich, PhD
Huntsman Cancer Institute - Jessica Everett, MS, CGC
New York University - Eric Goldberg, MD
New York University
Primary Care
- Mike Flynn, MD
University of Utah - Rachel Hess, MD
University of Utah
