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Patient and provider perspectives on polygenic risk scores: implications for clinical reporting and utilization.
Lewis, Anna C F; Perez, Emma F; Prince, Anya E R; Flaxman, Hana R; Gomez, Lizbeth; Brockman, Deanna G; Chandler, Paulette D; Kerman, Benjamin J; Lebo, Matthew S; Smoller, Jordan W; Weiss, Scott T; Blout Zawatksy, Carrie L; Meigs, James B; Green, Robert C; Vassy, Jason L; Karlson, Elizabeth W.
Affiliation
  • Lewis ACF; E.J. Safra Center for Ethics, Harvard University, Cambridge, USA. annalewis@fas.harvard.edu.
  • Perez EF; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. annalewis@fas.harvard.edu.
  • Prince AER; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Flaxman HR; Mass General Brigham Personalized Medicine, Boston, MA, USA.
  • Gomez L; College of Law, University of Iowa, Iowa City, IA, USA.
  • Brockman DG; Weill Cornell Medical College, New York City, NY, USA.
  • Chandler PD; Mass General Brigham Personalized Medicine, Boston, MA, USA.
  • Kerman BJ; Color Health, Burlingame, CA, USA.
  • Lebo MS; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Smoller JW; Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
  • Weiss ST; Mass General Brigham Personalized Medicine, Boston, MA, USA.
  • Blout Zawatksy CL; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
  • Meigs JB; Harvard Medical School, Boston, MA, USA.
  • Green RC; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
  • Vassy JL; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Karlson EW; Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Genome Med ; 14(1): 114, 2022 10 07.
Article in En | MEDLINE | ID: mdl-36207733
ABSTRACT

BACKGROUND:

Polygenic risk scores (PRS), which offer information about genomic risk for common diseases, have been proposed for clinical implementation. The ways in which PRS information may influence a patient's health trajectory depend on how both the patient and their primary care provider (PCP) interpret and act on PRS information. We aimed to probe patient and PCP responses to PRS clinical reporting choices

METHODS:

Qualitative semi-structured interviews of both patients (N=25) and PCPs (N=21) exploring responses to mock PRS clinical reports of two different designs binary and continuous representations of PRS.

RESULTS:

Many patients did not understand the numbers representing risk, with high numeracy patients being the exception. However, all the patients still understood a key takeaway that they should ask their PCP about actions to lower their disease risk. PCPs described a diverse range of heuristics they would use to interpret and act on PRS information. Three separate use cases for PRS emerged to aid in gray-area clinical decision-making, to encourage patients to do what PCPs think patients should be doing anyway (such as exercising regularly), and to identify previously unrecognized high-risk patients. PCPs indicated that receiving "below average risk" information could be both beneficial and potentially harmful, depending on the use case. For "increased risk" patients, PCPs were favorable towards integrating PRS information into their practice, though some would only act in the presence of evidence-based guidelines. PCPs describe the report as more than a way to convey information, viewing it as something to structure the whole interaction with the patient. Both patients and PCPs preferred the continuous over the binary representation of PRS (23/25 and 17/21, respectively). We offer recommendations for the developers of PRS to consider for PRS clinical report design in the light of these patient and PCP viewpoints.

CONCLUSIONS:

PCPs saw PRS information as a natural extension of their current practice. The most pressing gap for PRS implementation is evidence for clinical utility. Careful clinical report design can help ensure that benefits are realized and harms are minimized.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Primary Health Care / Clinical Decision-Making Type of study: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Humans Language: En Journal: Genome Med Year: 2022 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Primary Health Care / Clinical Decision-Making Type of study: Etiology_studies / Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limits: Humans Language: En Journal: Genome Med Year: 2022 Document type: Article Affiliation country: United States