Published on in Vol 7, No 4 (2021): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25659, first published .
Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study

Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study

Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod Study

Journals

  1. Jeon M, Youn N, Kim S. What are the late effects of older gastric cancer survivors? A scoping review. Asia-Pacific Journal of Oncology Nursing 2022;9(11):100113 View
  2. Ankersmid J, Siesling S, Strobbe L, Meulepas J, van Riet Y, Engels N, Prick J, The R, Takahashi A, Velting M, van Uden-Kraan C, Drossaert C. Supporting Shared Decision-making About Surveillance After Breast Cancer With Personalized Recurrence Risk Calculations: Development of a Patient Decision Aid Using the International Patient Decision AIDS Standards Development Process in Combination With a Mixed Methods Design. JMIR Cancer 2022;8(4):e38088 View
  3. Nolin A, Tian C, Hamilton C, Casablanca Y, Bateman N, Chan J, Cote M, Shriver C, Powell M, Phippen N, Conrads T, Maxwell G, Darcy K. Conditional estimates for uterine serous cancer: Tools for survivorship counseling and planning. Gynecologic Oncology 2022;166(1):90 View
  4. Vromans R, Tillier C, Pauws S, van der Poel H, van de Poll-Franse L, Krahmer E. Communication, perception, and use of personalized side-effect risks in prostate cancer treatment-decision making: An observational and interview study. Patient Education and Counseling 2022;105(8):2731 View
  5. Vromans R, Pauws S, van de Poll-Franse L, Krahmer E. Effects of comparative information when communicating personalized risks of treatment outcomes: an experimental study. Journal of Risk Research 2023;26(3):324 View
  6. Vromans R, Hommes S, Clouth F, Lo-Fo-Wong D, Verbeek X, van de Poll-Franse L, Pauws S, Krahmer E. Need for numbers: assessing cancer survivors’ needs for personalized and generic statistical information. BMC Medical Informatics and Decision Making 2022;22(1) View
  7. Langballe R, Nilbert M, Christensen J, Tybjerg A, Bidstrup P. Understanding quality data correctly: a randomized comparison of presentation formats among cancer patients and relatives. Acta Oncologica 2022;61(12):1454 View
  8. Plisson M, Moll A, Sarrazin V, Charles D, Antoine T, Ionescu R, Koehren O, Raymond E. Methods for Inclusive Underwriting of Breast Cancer Risk with Machine Learning and Innovative Algorithms. Journal of Insurance Medicine 2023;50(1):36 View
  9. Osei-Tutu F, Iddrisu M, Dzansi G, Quaidoo T, Rasheed O, Yeboah P. A qualitative study on women’s breast cancer diagnosis disclosure preferences and disclosure experiences in a middle-income country. International Journal of Africa Nursing Sciences 2023;19:100614 View
  10. Westerink H, Bresser C, Garvelink M, van Uden-Kraan C, Zouitni O, Bart H, van der Wees P, van der Nat P, van der Velden A, Koëter S, Bos W, Kempen D, Weel A, van Duyn E, van der Voort P. The use of outcome data in patient consultations from the healthcare professionals’ and patients’ perspectives: A mixed methods study. Patient Education and Counseling 2024;118:108043 View
  11. Naser-Tavakolian A, Gale R, Luu M, Masterson J, Venkataramana A, Khodyakov D, Anger J, Posadas E, Sandler H, Freedland S, Spiegel B, Daskivich T. Use of Persuasive Language in Communication of Risk during Prostate Cancer Treatment Consultations. Medical Decision Making 2024 View