Interactive or static reports to guide clinical interpretation of cancer genomics

Author:

Gray Stacy W12,Gagan Jeffrey34,Cerami Ethan5,Cronin Angel M6,Uno Hajime46,Oliver Nelly6,Lowenstein Carol6,Lederman Ruth6,Revette Anna6,Suarez Aaron7,Lee Charlotte4,Bryan Jordan7,Sholl Lynette34,Van Allen Eliezer M467

Affiliation:

1. City of Hope Comprehensive Cancer Center, Duarte, CA, USA

2. Beckman Research Institute, Duarte, CA, USA

3. Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA

4. Harvard Medical School, Boston, MA, USA

5. Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA

6. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA

7. The Broad Institute, Cambridge, MA, USA

Abstract

Abstract Objective Misinterpretation of complex genomic data presents a major challenge in the implementation of precision oncology. We sought to determine whether interactive genomic reports with embedded clinician education and optimized data visualization improved genomic data interpretation. Materials and Methods We conducted a randomized, vignette-based survey study to determine whether exposure to interactive reports for a somatic gene panel, as compared to static reports, improves physicians’ genomic comprehension and report-related satisfaction (overall scores calculated across 3 vignettes, range 0–18 and 1–4, respectively, higher score corresponding with improved endpoints). Results One hundred and five physicians at a tertiary cancer center participated (29% participation rate): 67% medical, 20% pediatric, 7% radiation, and 7% surgical oncology; 37% female. Prior to viewing the case-based vignettes, 34% of the physicians reported difficulty making treatment recommendations based on the standard static report. After vignette/report exposure, physicians’ overall comprehension scores did not differ by report type (mean score: interactive 11.6 vs static 10.5, difference = 1.1, 95% CI, −0.3, 2.5, P = .13). However, physicians exposed to the interactive report were more likely to correctly assess sequencing quality (P < .001) and understand when reports needed to be interpreted with caution (eg, low tumor purity; P = .02). Overall satisfaction scores were higher in the interactive group (mean score 2.5 vs 2.1, difference = 0.4, 95% CI, 0.2-0.7, P = .001). Discussion and Conclusion Interactive genomic reports may improve physicians’ ability to accurately assess genomic data and increase report-related satisfaction. Additional research in users’ genomic needs and efforts to integrate interactive reports into electronic health records may facilitate the implementation of precision oncology.

Funder

National Institutes of Health

American Cancer Society

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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