Leslie Riddle, Jennifer Elyse James, Arash Naeim, Lisa Madlensky, Susie Brain, Diana DeRosa, Martin Eklund, Allison Stover Fiscalini, Diane Heditsian, Barbara Koenig, Katherine Ross, Leah P Sabacan, Barry Tong, Neil Wenger, Galen Joseph
{"title":"Receiving a Pathogenic Variant in a Population Breast Cancer Screening Trial: A Mixed Method Study.","authors":"Leslie Riddle, Jennifer Elyse James, Arash Naeim, Lisa Madlensky, Susie Brain, Diana DeRosa, Martin Eklund, Allison Stover Fiscalini, Diane Heditsian, Barbara Koenig, Katherine Ross, Leah P Sabacan, Barry Tong, Neil Wenger, Galen Joseph","doi":"10.1159/000540680","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Risk-based breast cancer screening aims to address persistent high morbidity and mortality. This study examined the experience of participants in the Women Informed to Screen Depending on Measures of Risk (WISDOM) trial who received a pathogenic variant in one of nine high or moderate penetrance breast cancer genes.</p><p><strong>Methods: </strong>Participants completed a brief survey (n = 181) immediately following the results disclosure and 1 year later. Descriptive statistics were computed and comparisons between participants at different risk levels were performed using Fisher's exact and McNemar's tests. Analysis of qualitative interviews (n = 42) at 2-4 weeks and 6 months post-results disclosure compared responses at the 2 time points and explained and elaborated on the survey data.</p><p><strong>Results: </strong>66.3% of survey respondents felt very or moderately prepared to receive genomic results. At the T1 survey, 80.7% of participants had shared the genetic result with a blood relative, increasing to 88.4% at T2; providing information and encouraging cascade testing were the most common reasons for sharing. Communication with a blood relative, other healthcare providers beyond the primary care provider, and cascade testing were higher for participants with a high risk than low or moderate risk genomic finding. Qualitative interviews elucidated varied reasons why participants felt (un)prepared for the results, including whether or not they had a family history of breast cancer, and illustrated the complexity of decision-making about sharing results.</p><p><strong>Conclusions: </strong>Although most participants communicated results with family members and healthcare providers in accordance with their risk level, questions remain about how to adequately prepare individuals to receive pathogenic results, ensure timely and accessible follow-up care, and facilitate genetic counseling and cascade testing of at-risk relatives in the setting of population risk-based screening.</p>","PeriodicalId":49650,"journal":{"name":"Public Health Genomics","volume":" ","pages":"177-196"},"PeriodicalIF":1.3000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Health Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000540680","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/20 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Risk-based breast cancer screening aims to address persistent high morbidity and mortality. This study examined the experience of participants in the Women Informed to Screen Depending on Measures of Risk (WISDOM) trial who received a pathogenic variant in one of nine high or moderate penetrance breast cancer genes.
Methods: Participants completed a brief survey (n = 181) immediately following the results disclosure and 1 year later. Descriptive statistics were computed and comparisons between participants at different risk levels were performed using Fisher's exact and McNemar's tests. Analysis of qualitative interviews (n = 42) at 2-4 weeks and 6 months post-results disclosure compared responses at the 2 time points and explained and elaborated on the survey data.
Results: 66.3% of survey respondents felt very or moderately prepared to receive genomic results. At the T1 survey, 80.7% of participants had shared the genetic result with a blood relative, increasing to 88.4% at T2; providing information and encouraging cascade testing were the most common reasons for sharing. Communication with a blood relative, other healthcare providers beyond the primary care provider, and cascade testing were higher for participants with a high risk than low or moderate risk genomic finding. Qualitative interviews elucidated varied reasons why participants felt (un)prepared for the results, including whether or not they had a family history of breast cancer, and illustrated the complexity of decision-making about sharing results.
Conclusions: Although most participants communicated results with family members and healthcare providers in accordance with their risk level, questions remain about how to adequately prepare individuals to receive pathogenic results, ensure timely and accessible follow-up care, and facilitate genetic counseling and cascade testing of at-risk relatives in the setting of population risk-based screening.
期刊介绍:
''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.