Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 18.03.14 in Vol 16, No 3 (2014): March

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

Works citing "Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics"

Holly O Witteman, Andrea Fuhrel-Forbis, Harindra C Wijeysundera, Nicole Exe, Mark Dickson, Lisa Holtzman, Valerie C Kahn, Brian J Zikmund-Fisher

J Med Internet Res 2014 (Mar 18); 16(3):e80 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2895):

(note that this is only a small subset of citations)

  1. Witteman HO, Presseau J, Nicholas Angl E, Jokhio I, Schwalm J, Grimshaw JM, Bosiak B, Natarajan MK, Ivers NM. Negotiating Tensions Between Theory and Design in the Development of Mailings for People Recovering From Acute Coronary Syndrome. JMIR Human Factors 2017;4(1):e6
    CrossRef
  2. Tibell LAE, Harms U. Biological Principles and Threshold Concepts for Understanding Natural Selection. Science & Education 2017;26(7-9):953
    CrossRef
  3. Bonner C, Bell K, Jansen J, Glasziou P, Irwig L, Doust J, McCaffery K. Should heart age calculators be used alongside absolute cardiovascular disease risk assessment?. BMC Cardiovascular Disorders 2018;18(1)
    CrossRef
  4. Mavletova A, Gavrilov K, Tholmogorova T. Gamifying a web survey among adolescents: effects on understanding of risk, risk calculation, and ratio-bias. Journal of Risk Research 2019;22(12):1532
    CrossRef
  5. Engelhardt EG, Pieterse AH, Han PKJ, van Duijn-Bakker N, Cluitmans F, Maartense E, Bos MMEM, Weijl NI, Punt CJA, Quarles van Ufford-Mannesse P, Sleeboom H, Portielje JEA, van der Hoeven KJM, Woei-A-Jin FJS, Kroep JR, de Haes HCJM, Smets EMA, Stiggelbout AM. Disclosing the Uncertainty Associated with Prognostic Estimates in Breast Cancer. Medical Decision Making 2017;37(3):179
    CrossRef
  6. Taylor-Robinson D, Kee F. Precision public health—the Emperor’s new clothes. International Journal of Epidemiology 2019;48(1):1
    CrossRef
  7. Klein KA, Watson L, Ash JS, Eden KB. Evaluation of risk communication in a mammography patient decision aid. Patient Education and Counseling 2016;99(7):1240
    CrossRef
  8. Bonner C, Jansen J, Newell BR, Irwig L, Teixeira-Pinto A, Glasziou P, Doust J, McKinn S, McCaffery K. Is the “Heart Age” Concept Helpful or Harmful Compared to Absolute Cardiovascular Disease Risk? An Experimental Study. Medical Decision Making 2015;35(8):967
    CrossRef
  9. Comello MLG, Qian X, Deal AM, Ribisl KM, Linnan LA, Tate DF. Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program. Journal of Medical Internet Research 2016;18(9):e237
    CrossRef
  10. Haga SB, Mills R, Pollak KI, Rehder C, Buchanan AH, Lipkus IM, Crow JH, Datto M. Developing patient-friendly genetic and genomic test reports: formats to promote patient engagement and understanding. Genome Medicine 2014;6(7)
    CrossRef
  11. Housten AJ, Kamath GR, Bevers TB, Cantor SB, Dixon N, Hite A, Kallen MA, Leal VB, Li L, Volk RJ. Does Animation Improve Comprehension of Risk Information in Patients with Low Health Literacy? A Randomized Trial. Medical Decision Making 2020;40(1):17
    CrossRef
  12. Fagerlin A, Valley TS, Scherer AM, Knaus M, Das E, Zikmund-Fisher BJ. Communicating infectious disease prevalence through graphics: Results from an international survey. Vaccine 2017;35(32):4041
    CrossRef
  13. Bonner C, Raffoul N, Battaglia T, Mitchell JA, 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
    CrossRef
  14. Smith SG, Curtis LM, O’Conor R, Federman AD, Wolf MS. ABCs or 123s? The independent contributions of literacy and numeracy skills on health task performance among older adults. Patient Education and Counseling 2015;98(8):991
    CrossRef
  15. Lewis ACF, Green RC. Polygenic risk scores in the clinic: new perspectives needed on familiar ethical issues. Genome Medicine 2021;13(1)
    CrossRef
  16. Van Der Pol-Harney E, Turner R, McCaffery K, Bonner C. The effects of communicating cardiovascular disease risk as 'fitness age' on behavioral intentions and psychological outcomes. Patient Education and Counseling 2021;104(7):1704
    CrossRef
  17. Waters EA, Maki J, Liu Y, Ackermann N, Carter CR, Dart H, Bowen DJ, Cameron LD, Colditz GA. Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases. Medical Decision Making 2021;41(1):74
    CrossRef
  18. Bonner C, Trevena LJ, Gaissmaier W, Han PKJ, Okan Y, Ozanne E, Peters E, Timmermans D, Zikmund-Fisher BJ. Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles. Medical Decision Making 2021;41(7):821
    CrossRef
  19. Schulberg SD, Ferry AV, Jin K, Marshall L, Neubeck L, Strachan FE, Mills NL. Cardiovascular risk communication strategies in primary prevention. A systematic review with narrative synthesis. Journal of Advanced Nursing 2022;78(10):3116
    CrossRef
  20. Ripberger J, Bell A, Fox A, Forney A, Livingston W, Gaddie C, Silva C, Jenkins-Smith H. Communicating Probability Information in Weather Forecasts: Findings and Recommendations from a Living Systematic Review of the Research Literature. Weather, Climate, and Society 2022;14(2):481
    CrossRef
  21. Bonner C, Batcup C, Fajardo M, Trevena L. Biological age calculators to motivate lifestyle change: Environmental scan of online tools and evaluation of behaviour change techniques. Health Promotion Journal of Australia 2023;34(1):202
    CrossRef
  22. Bonner C, Batcup C, Cornell S, Fajardo MA, Hawkes AL, Trevena L, Doust J. Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects. JMIR Cardio 2021;5(2):e31056
    CrossRef
  23. Desai PM, Harkins S, Rahman S, Kumar S, Hermann A, Joly R, Zhang Y, Pathak J, Kim J, D’Angelo D, Benda NC, Reading Turchioe M. Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. Journal of the American Medical Informatics Association 2024;31(2):289
    CrossRef
  24. Ellis T, Cheng S, Zecchin R, Zwack C, Hyun K, Zhang L, Gallagher R, Clark R, Redfern J. Effect of an avatar-based discharge education application on knowledge and behaviour in people after acute coronary syndrome: protocol for a pragmatic prospective randomised controlled trial. BMJ Open 2023;13(8):e073621
    CrossRef
  25. . Cardiovascular disease risk communication: Strategies, impact, and future directions. Current Problems in Cardiology 2024;49(5):102490
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2895):

  1. Gamp M, Debbeler L, Renner B. eHealth in Deutschland. 2016. Chapter 23:421
    CrossRef
  2. Wang L, Zheng M. Advances in Usability, User Experience, Wearable and Assistive Technology. 2021. Chapter 101:854
    CrossRef