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Beach WA, Canary HE, Chen YW, Daly BM, Gammon A, Savage MW, Madlensky L, Kaphingst KA. Communication About Negative and Uncertain Results: Interactional Dilemmas During a Genetic Telehealth Consult. HEALTH COMMUNICATION 2023; 38:3252-3263. [PMID: 36415031 PMCID: PMC10200822 DOI: 10.1080/10410236.2022.2145770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
This case study focuses on a video telehealth consult to discuss genetic testing results. Participants include a Genetic Counselor (GC) and a Patient (P) previously diagnosed with ovarian cancer who is currently undergoing chemotherapy treatments. Utilizing conversation analysis (CA), attention is first given to a series of interactional dilemmas as GC delivers and P responds to negative, uncertain, and complex test results. Specific findings address practices employed by GC to structure the encounter and establish authority, impacts on P's participation and understandings, recurring and at times problematic orientations to "negative" findings, and inherent ambiguities faced by GC and P when attempting to discern good and bad news. Close examination of these moments provides a unique opportunity to identify, describe, and explain genetic counseling as a co-produced, interactional achievement. These findings are then integrated with patient's post-counseling survey (susceptibility, anxiety, uncertainty, fear, and hope), including reported experiences which broaden understandings of the interactional environment. Specific recommendations are raised for improving counseling skills, enhancing patients' understandings, and building therapeutic alliances addressing both patients' emotional circumstances and the complexities of genetic test results.
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Affiliation(s)
| | | | - Yea-Wen Chen
- School of Communication, San Diego State University
| | | | | | | | - Lisa Madlensky
- Department of Medicine and Moores Cancer Center; University of California San Diego
| | - Kimberly A. Kaphingst
- Huntsman Cancer Institute, University of Utah
- Department of Communication, University of Utah
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Ceyhan-Birsoy O, Jayakumaran G, Kemel Y, Misyura M, Aypar U, Jairam S, Yang C, Li Y, Mehta N, Maio A, Arnold A, Salo-Mullen E, Sheehan M, Syed A, Walsh M, Carlo M, Robson M, Offit K, Ladanyi M, Reis-Filho JS, Stadler ZK, Zhang L, Latham A, Zehir A, Mandelker D. Diagnostic yield and clinical relevance of expanded genetic testing for cancer patients. Genome Med 2022; 14:92. [PMID: 35971132 PMCID: PMC9377129 DOI: 10.1186/s13073-022-01101-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 08/03/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Genetic testing (GT) for hereditary cancer predisposition is traditionally performed on selected genes based on established guidelines for each cancer type. Recently, expanded GT (eGT) using large hereditary cancer gene panels uncovered hereditary predisposition in a greater proportion of patients than previously anticipated. We sought to define the diagnostic yield of eGT and its clinical relevance in a broad cancer patient population over a 5-year period. METHODS A total of 17,523 cancer patients with a broad range of solid tumors, who received eGT at Memorial Sloan Kettering Cancer Center between July 2015 to April 2020, were included in the study. The patients were unselected for current GT criteria such as cancer type, age of onset, and/or family history of disease. The diagnostic yield of eGT was determined for each cancer type. For 9187 patients with five common cancer types frequently interrogated for hereditary predisposition (breast, colorectal, ovarian, pancreatic, and prostate cancer), the rate of pathogenic/likely pathogenic (P/LP) variants in genes that have been associated with each cancer type was analyzed. The clinical implications of additional findings in genes not known to be associated with a patients' cancer type were investigated. RESULTS 16.7% of patients in a broad cancer cohort had P/LP variants in hereditary cancer predisposition genes identified by eGT. The diagnostic yield of eGT in patients with breast, colorectal, ovarian, pancreatic, and prostate cancer was 17.5%, 15.3%, 24.2%, 19.4%, and 15.9%, respectively. Additionally, 8% of the patients with five common cancers had P/LP variants in genes not known to be associated with the patient's current cancer type, with 0.8% of them having such a variant that confers a high risk for another cancer type. Analysis of clinical and family histories revealed that 74% of patients with variants in genes not associated with their current cancer type but which conferred a high risk for another cancer did not meet the current GT criteria for the genes harboring these variants. One or more variants of uncertain significance were identified in 57% of the patients. CONCLUSIONS Compared to targeted testing approaches, eGT can increase the yield of detection of hereditary cancer predisposition in patients with a range of tumors, allowing opportunities for enhanced surveillance and intervention. The benefits of performing eGT should be weighed against the added number of VUSs identified with this approach.
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Affiliation(s)
- Ozge Ceyhan-Birsoy
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gowtham Jayakumaran
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Kemel
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maksym Misyura
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Umut Aypar
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sowmya Jairam
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ciyu Yang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yirong Li
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nikita Mehta
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Maio
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Angela Arnold
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Erin Salo-Mullen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret Sheehan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aijazuddin Syed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael Walsh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria Carlo
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia K Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Liying Zhang
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Present Address: Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA
| | - Alicia Latham
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Present Address: Precision Medicine and Biosamples, Oncology R&D, AstraZeneca, New York, NY, USA.
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Burke W, Parens E, Chung WK, Berger SM, Appelbaum PS. The Challenge of Genetic Variants of Uncertain Clinical Significance : A Narrative Review. Ann Intern Med 2022; 175:994-1000. [PMID: 35436152 PMCID: PMC10555957 DOI: 10.7326/m21-4109] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Genomic tests expand diagnostic and screening opportunities but also identify genetic variants of uncertain clinical significance (VUSs). Only a minority of VUSs are likely to prove pathogenic when later reassessed, but resolution of the uncertainty is rarely timely. That uncertainty adds complexity to clinical decision making and can result in harms and costs to patients and the health care system, including the time-consuming analysis required to interpret a VUS and the potential for unnecessary treatment and adverse psychological effects. Current efforts to improve variant interpretation will help reduce the scope of the problem, but the high prevalence of rare and novel variants in the human genome points to VUSs as an ongoing challenge. Additional strategies can help mitigate the potential harms of VUSs, including testing protocols that limit identification or reporting of VUSs, subclassification of VUSs according to the likelihood of pathogenicity, routine family-based evaluation of variants, and enhanced counseling efforts. All involve tradeoffs, and the appropriate balance of measures is likely to vary for different test uses and clinical settings. Cross-specialty deliberation and public input could contribute to systematic and broadly supported policies for managing VUSs.
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Affiliation(s)
- Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle, WA, USA
| | | | - Wendy K. Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Sara M. Berger
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Paul S. Appelbaum
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
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Levin Fridman A, Raz A, Timmermans S, Shkedi-Rafid S. Views of Israeli healthcare professionals regarding communication of genetic variants of uncertain significance to patients. J Genet Couns 2022; 31:912-921. [PMID: 35122362 PMCID: PMC9541910 DOI: 10.1002/jgc4.1560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 01/17/2022] [Accepted: 01/24/2022] [Indexed: 11/21/2022]
Abstract
While genomic medicine is becoming an important part of patient care with an ever‐increasing diagnostic yield, communicating variants of uncertain clinical significance (VUSs) remains a major challenge. We draw on qualitative analysis of semi‐structured interviews conducted in 2020 with 20 Israeli healthcare professionals and stakeholders involved in communicating the results of genome‐wide sequencing to patients. Respondents described four main strategies of communicating VUSs to patients: preparing the patient pre‐test for uncertainty; adapting the level of detail to the patient's needs; upgrading versus downgrading the VUS; and following up on the possible reclassification of VUSs. These strategies were expressed differently by physicians and genetic counselors, varying according to their specialty and perception of the patient's situation. We discuss the strategic management and communication of uncertain genomic test results with patients in the context of meeting patients' expectations and working toward genetic causality through genomic narration and designation.
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Affiliation(s)
- Alma Levin Fridman
- Department of Sociology and Anthropology, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Aviad Raz
- Department of Sociology and Anthropology, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | | | - Shiri Shkedi-Rafid
- Department of Genetics, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
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Porzsolt F, Pfuhl G, Kaplan RM, Eisemann M. Covid-19 pandemic lessons: uncritical communication of test results can induce more harm than benefit and raises questions on standardized quality criteria for communication and liability. Health Psychol Behav Med 2021; 9:818-829. [PMID: 34567838 PMCID: PMC8462930 DOI: 10.1080/21642850.2021.1979407] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 09/07/2021] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND The COVID-19 pandemic is characterized by both health and economic risks. A 'safety loop' model postulates risk-related decisions are not based on objective and measurable risks but on the subjective perception of those risks. We here illustrate a quantification of the difference between objective and subjective risks. METHOD The objective risks (or chances) can be obtained from traditional 2 × 2 tables by calculating the positive (+LR) and negative (-LR) likelihood ratios. The subjective perception of objective risks is calculated from the same 2 × 2 tables by exchanging the X- and Y-axes. The traditional 2 × 2 table starts with the hypothesis, uses a test and a gold standard to confirm or exclude the investigated condition. The 2 × 2 table with inverted axes starts with the communication of a test result and presumes that the communication of bad news (whether right or false) will induce 'Perceived Anxiety' while good news will induce 'Perceived Safety'. Two different functions (confirmation and exclusion) of both perceptions (Perceived Anxiety and Safety) can be quantified with those calculations. RESULTS The analysis of six published tests and of one incompletely reported test on COVID-19 polymerase chain reactions (completed by four assumptions on high and low sensitivities and specificities) demonstrated that none of these tests induces 'Perceived Safety'. Eight of the ten tests confirmed the induction of 'Perceived Anxiety' with + LRs (range 3.1-5900). In two of these eight tests, a -LR (0.25 and 0.004) excluded the induction of 'Perceived Safety'. CONCLUSIONS Communication of test results caused perceived anxiety but not perceived safety in 80% of the investigated tests. Medical tests - whether true or false - generate strong psychological messages. In the case of COVID-19 tests may induce more perceived anxiety than safety. Risk communication has to balance objective and subjective risks.
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Affiliation(s)
- Franz Porzsolt
- Institute of Clinical Economics (ICE) e.V., Ulm, Germany
| | - Gerit Pfuhl
- UiT The Arctic University of Norway, Tromsø, Norway
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