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Hanley M, Limb S, Purvis R, Saya S, James PA, Forrest LE. The development and evaluation of polygenic risk score reports: A systematized review of the literature. Genet Med 2025; 27:101426. [PMID: 40196936 DOI: 10.1016/j.gim.2025.101426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Revised: 03/23/2025] [Accepted: 03/27/2025] [Indexed: 04/09/2025] Open
Abstract
PURPOSE The return of polygenic risk scores (PGS) is currently being assessed in research settings for clinical utility and validity, and it is anticipated that PGS will soon be implemented in a clinical setting. There are limited guidelines regarding PGS communication and reporting; thus, there is a need to identify and analyze the current research to determine the most acceptable means of presenting PGS results through reports. The aim of this review is to examine the literature regarding the development and evaluation of PGS communication tools, including risk reports, visual aids, and online tools. METHODS Research studies that evaluated preferences, understanding or interpretation of PGS through a report, visual aid, or tool were included. The search strategy was applied to MEDLINE (via Ovid) and American Psychological Association PsychInfo. RESULTS Thirteen studies met the inclusion criteria. The presentation of PGS differed across studies, including icon arrays and bell curves for visual presentation and absolute risk, relative risk, and genetic risk score for numerical presentation. Participants' understanding of PGS differed between studies. Studies supported using absolute risk and avoiding stigmatizing colors to communicate results. CONCLUSION To support PGS clinical implementation, the development of an evidence-based PGS report evaluated by consumers and various health care professionals is needed.
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Affiliation(s)
- Mia Hanley
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sharne Limb
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Rebecca Purvis
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia
| | - Sibel Saya
- Department of General Practice and Primary Care, The University of Melbourne, VIC, Australia; Centre for Cancer Research, The University of Melbourne, Melbourne, VIC, Australia
| | - Paul Andrew James
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Department of Medicine-Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia
| | - Laura Elenor Forrest
- Parkville Familial Cancer Centre, Peter MacCallum Cancer Centre and Royal Melbourne Hospital, Melbourne, VIC, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia; Department of Medicine-Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC, Australia.
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Saw JJ, Gatzke LP. Designing visual hierarchies for the communication of health data. J Am Med Inform Assoc 2024; 31:2722-2729. [PMID: 39088568 PMCID: PMC11491599 DOI: 10.1093/jamia/ocae175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 05/15/2024] [Accepted: 06/27/2024] [Indexed: 08/03/2024] Open
Abstract
OBJECTIVES Visual hierarchy underlies all visual design decisions related to information presentation. This manuscript describes the experience of a multidisciplinary health data visualization and software design team in using visual hierarchy to redesign a hereditary colorectal cancer lab report. MATERIALS AND METHODS A series of interviews with representative users were conducted to identify target user groups and determine information hierarchy for each user type. Visual elements (eg, size, color, contrast, etc.) were then assigned to mirror the information hierarchy and workflow for each user type. RESULTS User research identified 2 distinct user groups as consumers of the redesigned lab report. An interactive design employing a 2-level page hierarchy was developed, which stratified the content to support the needs of each user type. CONCLUSIONS The challenges related to displaying the complex nature of digital and personal health data can be addressed by applying foundational design methods such as visual hierarchy. DISCUSSION Visual hierarchy, a foundational design principle, can be used by visualization teams to clearly and efficiently present complex datasets associated with healthcare.
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Affiliation(s)
- Jessica J Saw
- National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States
- Biomedical and Translational Sciences, Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States
| | - Lisa P Gatzke
- National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States
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Arcia A, Benda NC, Wu DTY. Advancing the science of visualization of health data for lay audiences. J Am Med Inform Assoc 2024; 31:283-288. [PMID: 38238784 PMCID: PMC10796313 DOI: 10.1093/jamia/ocad255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 01/22/2024] Open
Affiliation(s)
- Adriana Arcia
- Hahn School of Nursing and Health Science, University of San Diego, San Diego, CA 92110, United States
| | - Natalie C Benda
- School of Nursing, Columbia University, New York, NY 10032, United States
| | - Danny T Y Wu
- Department of Biomedical Informatics, University of Cincinnati, College of Medicine, Cincinnati, OH 45229, United States
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