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Citing this Article

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Published on 25.08.11 in Vol 13, No 3 (2011): Jul-Sep

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

Works citing "Cool but Counterproductive: Interactive, Web-Based Risk Communications Can Backfire"

Brian J Zikmund-Fisher, Mark Dickson, Holly O Witteman

J Med Internet Res 2011 (Aug 25); 13(3):e60 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1665):

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

  1. Shaffer VA, Wegier P, Valentine K, Belden JL, Canfield SM, Patil SJ, Popescu M, Steege LM, Jain A, Koopman RJ. Patient Judgments About Hypertension Control: The Role of Variability, Trends, and Outliers in Visualized Blood Pressure Data. Journal of Medical Internet Research 2019;21(3):e11366
    CrossRef
  2. Damman OC, Bogaerts NMM, van den Haak MJ, Timmermans DRM. How lay people understand and make sense of personalized disease risk information. Health Expectations 2017;20(5):973
    CrossRef
  3. Tsubokura M, Onoue Y, Torii HA, Suda S, Mori K, Nishikawa Y, Ozaki A, Uno K, Marchiori M. Twitter use in scientific communication revealed by visualization of information spreading by influencers within half a year after the Fukushima Daiichi nuclear power plant accident. PLOS ONE 2018;13(9):e0203594
    CrossRef
  4. Fraenkel L, Peters E, Tyra S, Oelberg D. Shared Medical Decision Making in Lung Cancer Screening. Medical Decision Making 2016;36(4):518
    CrossRef
  5. . Risk and Uncertainty Communication. Annual Review of Statistics and Its Application 2017;4(1):31
    CrossRef
  6. . Educating patients and providers through comprehensive pharmacogenetic test reports. Pharmacogenomics 2017;18(11):1047
    CrossRef
  7. Avis JL, van Mierlo T, Fournier R, Ball GD. Lessons Learned From Using Focus Groups to Refine Digital Interventions. JMIR Research Protocols 2015;4(3):e95
    CrossRef
  8. Wegier P, Armstrong BA, Shaffer VA. Aiding Risk Information learning through Simulated Experience (ARISE): A Comparison of the Communication of Screening Test Information in Explicit and Simulated Experience Formats. Medical Decision Making 2019;39(3):196
    CrossRef
  9. Zikmund-Fisher BJ, Witteman HO, Fuhrel-Forbis A, Exe NL, Kahn VC, Dickson M. Animated Graphics for Comparing Two Risks: A Cautionary Tale. Journal of Medical Internet Research 2012;14(4):e106
    CrossRef
  10. Avis JL, Holt NL, Maximova K, van Mierlo T, Fournier R, Padwal R, Cave AL, Martz P, Ball GD. The Development and Refinement of an e-Health Screening, Brief Intervention, and Referral to Treatment for Parents to Prevent Childhood Obesity in Primary Care. Telemedicine and e-Health 2016;22(5):385
    CrossRef
  11. Trevena LJ, Zikmund-Fisher BJ, Edwards A, Gaissmaier W, Galesic M, Han PK, King J, Lawson ML, Linder SK, Lipkus I, Ozanne E, Peters E, Timmermans D, Woloshin S. Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers. BMC Medical Informatics and Decision Making 2013;13(S2)
    CrossRef
  12. 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
  13. Jobin M, Visschers VH, van Vliet OP, Árvai J, Siegrist M. Affect or information? Examining drivers of public preferences of future energy portfolios in Switzerland. Energy Research & Social Science 2019;52:20
    CrossRef
  14. Bonner C, Jansen J, Newell BR, Irwig L, Glasziou P, Doust J, Dhillon H, McCaffery K. I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators. Journal of Medical Internet Research 2014;16(5):e120
    CrossRef
  15. Stellamanns J, Ruetters D, Dahal K, Schillmoeller Z, Huebner J. Visualizing risks in cancer communication: A systematic review of computer-supported visual aids. Patient Education and Counseling 2017;100(8):1421
    CrossRef
  16. Ruiz JG, Andrade AD, Garcia-Retamero R, Anam R, Rodriguez R, Sharit J. Communicating global cardiovascular risk: Are icon arrays better than numerical estimates in improving understanding, recall and perception of risk?. Patient Education and Counseling 2013;93(3):394
    CrossRef
  17. Xexakis G, Trutnevyte E. Are interactive web-tools for environmental scenario visualization worth the effort? An experimental study on the Swiss electricity supply scenarios 2035. Environmental Modelling & Software 2019;119:124
    CrossRef
  18. McIntyre R, Craig A. A Literature Review of Patient Education: Is IT Time to Move Forward?. Journal of Medical Imaging and Radiation Sciences 2015;46(3):S75
    CrossRef
  19. 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
  20. Camerini L, Schulz PJ. Effects of Functional Interactivity on Patients’ Knowledge, Empowerment, and Health Outcomes: An Experimental Model-Driven Evaluation of a Web-Based Intervention. Journal of Medical Internet Research 2012;14(4):e105
    CrossRef
  21. Garcia-Retamero R, Cokely ET. Designing Visual Aids That Promote Risk Literacy: A Systematic Review of Health Research and Evidence-Based Design Heuristics. Human Factors: The Journal of the Human Factors and Ergonomics Society 2017;59(4):582
    CrossRef
  22. Trevena LJ, Bonner C, Okan Y, Peters E, Gaissmaier W, Han PKJ, Ozanne E, Timmermans D, Zikmund-Fisher BJ. Current Challenges When Using Numbers in Patient Decision Aids: Advanced Concepts. Medical Decision Making 2021;41(7):834
    CrossRef
  23. 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
    CrossRef
  24. Clarke MA, Fruhling AL, Lyden EL, Tarrell AE, Bernard TL, Windle JR. Computer Skills Role in Personal Health Record Adoption Among Patients With Heart Disease: A Multi-dimensional Evaluation of Users versus Non-Users (Preprint). JMIR Human Factors 2020;
    CrossRef
  25. Housten AJ, Kozower BD, Engelhardt KE, Robinson C, Puri V, Samson P, Cooksey K, Politi MC. Developing an Educational and Decision Support Tool for Stage I Lung Cancer Using Decision Science. The Annals of Thoracic Surgery 2023;115(2):299
    CrossRef
  26. Strikwerda J, Holleman B, Hoeken H. Designing pension communication. Information Design Journal 2021;26(3):260
    CrossRef
  27. Valentine KD, Wegier P, Shaffer VA, Scherer LD. The Impact of 4 Risk Communication Interventions on Cancer Screening Preferences and Knowledge. Medical Decision Making 2022;42(3):387
    CrossRef
  28. Beaudart C, Hiligsmann M, Li N, Lewiecki EM, Silverman S. Effective communication regarding risk of fracture for individuals at risk of fragility fracture: a scoping review. Osteoporosis International 2022;33(1):13
    CrossRef
  29. 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
  30. Cotter LM, Yang S. Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment. Journal of the American Medical Informatics Association 2024;31(2):317
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1665):

  1. . Risk Communication. 2013. :159
    CrossRef
  2. . Risk Communication: A Handbook for Communicating Environmental, Safety, and Health Risks. 2018. :203
    CrossRef
  3. Wang L, Zheng M. Advances in Usability, User Experience, Wearable and Assistive Technology. 2021. Chapter 101:854
    CrossRef