This paper is in the following e-collection/theme issue:

Consumer & Patient Education and Shared-Decision Making (641) Quality/Credibility of eHealth Information and Trust Issues (492)

Published on in Vol 11, No 3 (2009): Jul-Sep

What Is My Cancer Risk? How Internet-Based Cancer Risk Assessment Tools Communicate Individualized Risk Estimates to the Public: Content Analysis

What Is My Cancer Risk? How Internet-Based Cancer Risk Assessment Tools Communicate Individualized Risk Estimates to the Public: Content Analysis

What Is My Cancer Risk? How Internet-Based Cancer Risk Assessment Tools Communicate Individualized Risk Estimates to the Public: Content Analysis

Authors of this article:

Erika A. Waters1, 2 ;   Helen W. Sullivan2 Author Orcid Image ;   Wendy Nelson3 ;   Bradford W. Hesse2 Author Orcid Image
Article Authors Cited by (36) Tweetations Metrics

Journals

  1. Waters E, Klein W, Moser R, Yu M, Waldron W, McNeel T, Freedman A. Correlates of unrealistic risk beliefs in a nationally representative sample. Journal of Behavioral Medicine 2011;34(3):225 View
  2. Witteman H, Zikmund-Fisher B, Waters E, Gavaruzzi T, Fagerlin A. Risk Estimates From an Online Risk Calculator Are More Believable and Recalled Better When Expressed as Integers. Journal of Medical Internet Research 2011;13(3):e54 View
  3. Kulkarni S, Lewis K, Arp Adams S, Brandt H, Lead J, Ureda J, Fedrick D, Mathews C, Friedman D. A Comprehensive Analysis of How Environmental Risks of Breast Cancer Are Portrayed on the Internet. American Journal of Health Education 2018;49(4):222 View
  4. Han P. Conceptual, Methodological, and Ethical Problems in Communicating Uncertainty in Clinical Evidence. Medical Care Research and Review 2013;70(1_suppl):14S View
  5. Harle C, Downs J, Padman R. A Clustering Approach to Segmenting Users of Internet-based Risk Calculators. Methods of Information in Medicine 2011;50(03):244 View
  6. Waters E, McNeel T, Stevens W, Freedman A. Use of tamoxifen and raloxifene for breast cancer chemoprevention in 2010. Breast Cancer Research and Treatment 2012;134(2):875 View
  7. Kye S, Park K, Park H, Kim M. Psychological Impact of Health Risk Appraisal of Korean Women at Different Levels of Breast Cancer Risk: Neglected Aspect of the Web-based Cancer Risk Assessment Tool. Asian Pacific Journal of Cancer Prevention 2012;13(2):437 View
  8. Damman O, Bogaerts N, van den Haak M, Timmermans D. How lay people understand and make sense of personalized disease risk information. Health Expectations 2017;20(5):973 View
  9. Robillard J, Illes J, Arcand M, Beattie B, Hayden S, Lawrence P, McGrenere J, Reiner P, Wittenberg D, Jacova C. Scientific and ethical features of English‐language online tests for Alzheimer's disease. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2015;1(3):281 View
  10. Chen Y, Marcus M, Niaz A, Duffy S, Field J. MyLungRisk: a user-friendly, web-based calculator for risk assessment of lung cancer based on the validated Liverpool Lung Project risk prediction model. International Journal of Health Promotion and Education 2014;52(3):144 View
  11. Losina E, Klara K, Michl G, Collins J, Katz J. Development and feasibility of a personalized, interactive risk calculator for knee osteoarthritis. BMC Musculoskeletal Disorders 2015;16(1) View
  12. Lipkus I, Johnson C, Amarasekara S, Pan W, Updegraff J. Reactions to online colorectal cancer risk estimates among a nationally representative sample of adults who have never been screened. Journal of Behavioral Medicine 2018;41(3):289 View
  13. Bonner C, Raffoul N, Battaglia T, Mitchell J, Batcup C, Stavreski B. Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey. Journal of Medical Internet Research 2020;22(8):e19028 View
  14. Cortez S, Milbrandt M, Kaphingst K, James A, Colditz G. The readability of online breast cancer risk assessment tools. Breast Cancer Research and Treatment 2015;154(1):191 View
  15. Hovick S, Bevers T, Vidrine J, Kim S, Dailey P, Jones L, Peterson S. User Perceptions and Reactions to an Online Cancer Risk Assessment Tool: a Process Evaluation of Cancer Risk Check. Journal of Cancer Education 2017;32(1):141 View
  16. Nolan T, Dack C, Pal K, Ross J, Stevenson F, Peacock R, Pearson M, Spiegelhalter D, Sweeting M, Murray E. Patient reactions to a web-based cardiovascular risk calculator in type 2 diabetes: a qualitative study in primary care. British Journal of General Practice 2015;65(632):e152 View
  17. Janssen E, Ruiter R, Waters E. Combining risk communication strategies to simultaneously convey the risks of four diseases associated with physical inactivity to socio-demographically diverse populations. Journal of Behavioral Medicine 2018;41(3):318 View
  18. Scherer L, Ubel P, McClure J, Greene S, Alford S, Holtzman L, Exe N, Fagerlin A. Belief in numbers: When and why women disbelieve tailored breast cancer risk statistics. Patient Education and Counseling 2013;92(2):253 View
  19. Sharma P, Kaur P. Effectiveness of web-based social sensing in health information dissemination—A review. Telematics and Informatics 2017;34(1):194 View
  20. 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
  21. Fowler S, Klein W, Ball L, McGuire J, Colditz G, Waters E. Using an Internet-Based Breast Cancer Risk Assessment Tool to Improve Social-Cognitive Precursors of Physical Activity. Medical Decision Making 2017;37(6):657 View
  22. Killam H, Han P. Presenting Health Statistics on the Web. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2013;2(1):43 View
  23. Chen Y, Yang Z. Message Formats, Numeracy, Risk Perceptions of Alcohol-Attributable Cancer, and Intentions for Binge Drinking Among College Students. Journal of Drug Education 2015;45(1):37 View
  24. Waters E, Taber J, McQueen A, Housten A, Studts J, Scherer L. Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success. Cancer Epidemiology, Biomarkers & Prevention 2020;29(12):2389 View
  25. Rabin B, Gaglio B, Sanders T, Nekhlyudov L, Dearing J, Bull S, Glasgow R, Marcus A. Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers. Cancer Epidemiology, Biomarkers & Prevention 2013;22(10):1645 View
  26. Loh K, Tsang M, LeBlanc T, Back A, Duberstein P, Mohile S, Epstein R, Klepin H, Becker M, El-Jawahri A, Lee S. Decisional involvement and information preferences of patients with hematologic malignancies. Blood Advances 2020;4(21):5492 View
  27. Ramsey A, Bray M, Acayo Laker P, Bourdon J, Dorsey A, Zalik M, Pietka A, Salyer P, Waters E, Chen L, Bierut L. Participatory Design of a Personalized Genetic Risk Tool to Promote Behavioral Health. Cancer Prevention Research 2020;13(7):583 View
  28. Waters E, Foust J, Scherer L, McQueen A, Taber J. To what extent do Internet-based cancer risk assessment tools adhere to best practices in risk communication: A content analysis (Preprint). Journal of Medical Internet Research 2020 View
  29. 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
  30. Trevena L, Bonner C, Okan Y, Peters E, Gaissmaier W, Han P, Ozanne E, Timmermans D, Zikmund-Fisher B. Current Challenges When Using Numbers in Patient Decision Aids: Advanced Concepts. Medical Decision Making 2021;41(7):834 View
  31. Thomas S, Hovick S, Tan N, Sturm A, Sweet K. How Online Family History Tool Design and Message Content Impact User Perceptions: An Examination of Family Health<b><i>Link</i></b>. Public Health Genomics 2018;21(1-2):53 View
  32. 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
  33. Lee J, Keil M, Lee J, Baird A, Choi H. Gender Effects on the Impact of Colorectal Cancer Risk Calculators on Screening Intentions: Experimental Study. JMIR Formative Research 2023;7:e37553 View
  34. Vromans R, van Goor L, Pauws S. Investigating the psychological impact of communicating epistemic uncertainty in personalized and generic risk estimates: an experimental study. Journal of Risk Research 2024:1 View

Books/Policy Documents

  1. Waters E, Fagerlin A, Zikmund-Fisher B. Handbook of Health Decision Science. View