Published on in Vol 17, No 7 (2015): July

Why Breast Cancer Risk by the Numbers Is Not Enough: Evaluation of a Decision Aid in Multi-Ethnic, Low-Numerate Women

Why Breast Cancer Risk by the Numbers Is Not Enough: Evaluation of a Decision Aid in Multi-Ethnic, Low-Numerate Women

Why Breast Cancer Risk by the Numbers Is Not Enough: Evaluation of a Decision Aid in Multi-Ethnic, Low-Numerate Women

Journals

  1. Hum S, Wu M, Pruthi S, Heisey R. Physician and Patient Barriers to Breast Cancer Preventive Therapy. Current Breast Cancer Reports 2016;8(3):158 View
  2. Silverman T, Vanegas A, Marte A, Mata J, Sin M, Ramirez J, Tsai W, Crew K, Kukafka R. Study protocol: a cluster randomized controlled trial of web-based decision support tools for increasing BRCA1/2 genetic counseling referral in primary care. BMC Health Services Research 2018;18(1) View
  3. Padamsee T, Wills C, Yee L, Paskett E. Decision making for breast cancer prevention among women at elevated risk. Breast Cancer Research 2017;19(1) View
  4. Kukafka R, Fang J, Vanegas A, Silverman T, Crew K. Pilot study of decision support tools on breast cancer chemoprevention for high-risk women and healthcare providers in the primary care setting. BMC Medical Informatics and Decision Making 2018;18(1) View
  5. Ozanne E, Howe R, Mallinson D, Esserman L, van‘t Veer L, Kaplan C. Evaluation of National Comprehensive Cancer Network guideline‐based Tool for Risk Assessment for breast and ovarian Cancer (N‐TRAC): A patient‐reported survey for genetic high‐risk assessment for breast and ovarian cancers in women. Journal of Genetic Counseling 2019;28(3):507 View
  6. Kerr A, Broer T, Ross E, Cunningham Burley S. Polygenic risk-stratified screening for cancer: Responsibilization in public health genomics. Social Studies of Science 2019;49(4):605 View
  7. Hesse-Biber S, Flynn B, Farrelly K. The Pink Underside: The Commercialization of Medical Risk Assessment and Decision-Making Tools for Hereditary Breast Cancer Risk. Qualitative Health Research 2018;28(10):1523 View
  8. Crew K, Silverman T, Vanegas A, Trivedi M, Dimond J, Mata J, Sin M, Jones T, Terry M, Tsai W, Kukafka R. Study protocol: Randomized controlled trial of web-based decision support tools for high-risk women and healthcare providers to increase breast cancer chemoprevention. Contemporary Clinical Trials Communications 2019;16:100433 View
  9. Tarver W, Haggstrom D. The Use of Cancer-Specific Patient-Centered Technologies Among Underserved Populations in the United States: Systematic Review. Journal of Medical Internet Research 2019;21(4):e10256 View
  10. Brewster A, Thomas P, Brown P, Coyne R, Yan Y, Checka C, Middleton L, Do K, Bevers T. A System-Level Approach to Improve the Uptake of Antiestrogen Preventive Therapy among Women with Atypical Hyperplasia and Lobular Cancer In Situ. Cancer Prevention Research 2018;11(5):295 View
  11. Chavez‐Yenter D, Chou W, Kaphingst K. State of recent literature on communication about cancer genetic testing among Latinx populations. Journal of Genetic Counseling 2021;30(3):911 View
  12. Thorneloe R, Hall L, Walter F, Side L, Lloyd K, Smith S. Knowledge of Potential Harms and Benefits of Tamoxifen among Women Considering Breast Cancer Preventive Therapy. Cancer Prevention Research 2020;13(4):411 View
  13. Mackey A, Petrucka P. Technology as the key to women’s empowerment: a scoping review. BMC Women's Health 2021;21(1) View
  14. Kalke K, Studd H, Scherr C. The communication of uncertainty in health: A scoping review. Patient Education and Counseling 2021;104(8):1945 View
  15. Gómez-Ramírez O, Thomson K, Salway T, Haag D, Falasinnu T, Grennan T, Grace D, Gilbert M. “Mini Dial-A-Nurses” and “Good Brands“: What Are the Desirable Features of Online HIV/STI Risk Calculators?. AIDS Education and Prevention 2020;32(6):528 View
  16. Sabgul A, Qattan A, Hashmi R, Al-Hanawi M. Husbands’ Knowledge of Breast Cancer and Their Wives’ Attitudes and Practices Related to Breast Cancer Screening in Saudi Arabia: Cross-sectional Online Survey. Journal of Medical Internet Research 2021;23(2):e25404 View
  17. Keane H, Huilgol Y, Shieh Y, Tice J, Belkora J, Sepucha K, Shibley W, Wang T, Che M, Goodman D, Ozanne E, Fiscalini A, Esserman L. Development and pilot of an online, personalized risk assessment tool for a breast cancer precision medicine trial. npj Breast Cancer 2021;7(1) View
  18. Burns A, Donnelly B, Feyi-Waboso J, Shephard E, Calitri R, Tarrant M, Dean S. How do electronic risk assessment tools affect the communication and understanding of diagnostic uncertainty in the primary care consultation? A systematic review and thematic synthesis. BMJ Open 2022;12(6):e060101 View
  19. Crew K, Bhatkhande G, Silverman T, Amenta J, Jones T, McGuinness J, Mata J, Guzman A, He T, Dimond J, Tsai W, Kukafka R. Patient and Provider Web-Based Decision Support for Breast Cancer Chemoprevention: A Randomized Controlled Trial. Cancer Prevention Research 2022;15(10):689 View
  20. Jones T, Silverman T, Guzman A, McGuinness J, Trivedi M, Kukafka R, Crew K. Qualitative analysis of shared decision-making for chemoprevention in the primary care setting: provider-related barriers. BMC Medical Informatics and Decision Making 2022;22(1) View
  21. Dron H, Bucio D, Young J, Tabor H, Cho M. Latinx attitudes, barriers, and experiences with genetic counseling and testing: A systematic review. Journal of Genetic Counseling 2023;32(1):166 View
  22. Mehta J, MacLaughlin K, Millstine D, Faubion S, Wallace M, Shah A, Fields H, Ruddy B, Bryan M, Patel B, Buras M, Golafshar M, Kling J. A Comparison of Perceived Lifetime Breast Cancer Risk to Calculated Lifetime Risk Using the Gail Risk Assessment Tool. Journal of Women's Health 2022;31(3):356 View
  23. Kukafka R, Pan S, Silverman T, Zhang T, Chung W, Terry M, Fleck E, Younge R, Trivedi M, McGuinness J, He T, Dimond J, Crew K. Patient and Clinician Decision Support to Increase Genetic Counseling for Hereditary Breast and Ovarian Cancer Syndrome in Primary Care. JAMA Network Open 2022;5(7):e2222092 View
  24. Lacey H, Lacey S, Dayal P, Forest C, Blasi D. Context Matters: Emotional Sensitivity to Probabilities and the Bias for Action in Cancer Treatment Decisions. Medical Decision Making 2023;43(4):417 View
  25. Burgermaster M, Desai P, Heitkemper E, Juul F, Mitchell E, Turchioe M, Albers D, Levine M, Larson D, Mamykina L. Who needs what (features) when? Personalizing engagement with data-driven self-management to improve health equity. Journal of Biomedical Informatics 2023;144:104419 View

Books/Policy Documents

  1. Thompson P, Preece C, Stopeck A. Fundamentals of Cancer Prevention. View