INTRODUCTION: Despite the value of genetic counseling (GC) and genetic testing (GT) for high-risk breast cancer survivors, little is known about their uptake and validity of self-report data. This study evaluated the accuracy of self-reported genetic counseling and testing rates among breast cancer survivors. METHODS: The current analysis focused on Stage 0-III female breast cancer survivors who were identified from an academic medical center's cancer registry and responded to a mailed survey (N = 452). Self-reported rates of GC and GT were validated using information from the electronic medical record. RESULTS: Overall, 30.8 % of survivors reported having seen a genetic counselor in the time period after their breast cancer diagnosis and 33.6 % noted having a genetic test. Concordance and specificity were good for both genetic questions; concordance agreements ranged from 86-88 %, while specificity was 83-86 %. Sensitivity (97-98 %) and negative predictive values (99 %) were excellent, while the positive predictive values for both GC and GT were poor (59-63 %). CONCLUSIONS: Among breast cancer survivors, self-reports of GC and GT were generally accurate, although a subset of respondents overestimated genetic service utilization. Future work should focus on validating GC and GT self-reports in medically underserved populations. IMPLICATIONS FOR CANCER SURVIVORS: Genetic counseling and testing are valuable aspects of survivorship care for high-risk breast cancer survivors; accurate understanding of their use is important for survivors, clinicians, and researchers.
INTRODUCTION: Despite the value of genetic counseling (GC) and genetic testing (GT) for high-risk breast cancer survivors, little is known about their uptake and validity of self-report data. This study evaluated the accuracy of self-reported genetic counseling and testing rates among breast cancer survivors. METHODS: The current analysis focused on Stage 0-III female breast cancer survivors who were identified from an academic medical center's cancer registry and responded to a mailed survey (N = 452). Self-reported rates of GC and GT were validated using information from the electronic medical record. RESULTS: Overall, 30.8 % of survivors reported having seen a genetic counselor in the time period after their breast cancer diagnosis and 33.6 % noted having a genetic test. Concordance and specificity were good for both genetic questions; concordance agreements ranged from 86-88 %, while specificity was 83-86 %. Sensitivity (97-98 %) and negative predictive values (99 %) were excellent, while the positive predictive values for both GC and GT were poor (59-63 %). CONCLUSIONS: Among breast cancer survivors, self-reports of GC and GT were generally accurate, although a subset of respondents overestimated genetic service utilization. Future work should focus on validating GC and GT self-reports in medically underserved populations. IMPLICATIONS FOR CANCER SURVIVORS: Genetic counseling and testing are valuable aspects of survivorship care for high-risk breast cancer survivors; accurate understanding of their use is important for survivors, clinicians, and researchers.
Authors: Diana M Tisnado; John L Adams; Honghu Liu; Cheryl L Damberg; Wen-Pin Chen; Fang Ashlee Hu; David M Carlisle; Carol M Mangione; Katherine L Kahn Journal: Med Care Date: 2006-02 Impact factor: 2.983
Authors: Garth H Rauscher; Timothy P Johnson; Young Ik Cho; Jennifer A Walk Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-04-01 Impact factor: 4.254
Authors: Shirley M Bluethmann; Caitlin C Murphy; Jasmin A Tiro; Michelle A Mollica; Sally W Vernon; Leona Kay Bartholomew Journal: Oncol Nurs Forum Date: 2017-05-01 Impact factor: 2.172
Authors: Anita Y Kinney; Rachel Howell; Rachel Ruckman; Jean A McDougall; Tawny W Boyce; Belinda Vicuña; Ji-Hyun Lee; Dolores D Guest; Randi Rycroft; Patricia A Valverde; Kristina M Gallegos; Angela Meisner; Charles L Wiggins; Antoinette Stroup; Lisa E Paddock; Scott T Walters Journal: Contemp Clin Trials Date: 2018-09-18 Impact factor: 2.226
Authors: Vida Henderson; Shaila M Strayhorn; Nyahne Q Bergeron; Desmona C Strahan; Pamela S Ganschow; Aditya S Khanna; Karriem Watson; Kent Hoskins; Yamile Molina Journal: Cancer Control Date: 2022 Jan-Dec Impact factor: 2.339
Authors: Chad D Rethorst; Heidi A Hamann; Thomas J Carmody; Kendall J Sharp; Keith E Argenbright; Barbara B Haley; Celette Sugg Skinner; Madhukar H Trivedi Journal: BMC Cancer Date: 2018-07-18 Impact factor: 4.430