Published on 07.09.11 in Vol 13, No 3 (2011): Jul-Sep
Works citing "Risk Estimates From an Online Risk Calculator Are More Believable and Recalled Better When Expressed as Integers"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1656):
(note that this is only a small subset of citations)
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Damman OC, Bogaerts NMM, van Dongen D, Timmermans DRM. Barriers in using cardiometabolic risk information among consumers with low health literacy. British Journal of Health Psychology 2016;21(1):135
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. The Right Tool Is What They Need, Not What We Have. Medical Care Research and Review 2013;70(1_suppl):37S
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Gavaruzzi T, Tasso A, Franiuk M, Varesco L, Lotto L. Letter to the Editor: Response to Cox (2018). Journal of Genetic Counseling 2018;27(5):1314
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Peters E, Kunreuther H, Sagara N, Slovic P, Schley DR. Protective Measures, Personal Experience, and the Affective Psychology of Time. Risk Analysis 2012;32(12):2084
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Killam HW, Han PK. Presenting Health Statistics on the Web. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2013;2(1):43
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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
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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
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Wright DR, Lozano P, Dawson-Hahn E, Christakis DA, Haaland WL, Basu A. Parental optimism about childhood obesity-related disease risks. International Journal of Obesity 2017;41(10):1467
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Zikmund-Fisher BJ, Witteman HO, Dickson M, Fuhrel-Forbis A, Kahn VC, Exe NL, Valerio M, Holtzman LG, Scherer LD, Fagerlin A. Blocks, Ovals, or People? Icon Type Affects Risk Perceptions and Recall of Pictographs. Medical Decision Making 2014;34(4):443
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Adonis MI, Díaz J, Miranda VR, Chahuan M, Zambrano A, Benitez HC, Campos M, Avaria P, Urzúa U, Marín P, Gohurdett M, Cisterna Y, Gil L. Biomarkers for screening of lung cancer and pre-neoplastic lesions in a high risk Chilean population. Biological Research 2014;47(1):62
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Llewellyn-Thomas HA, Crump RT. Decision Support for Patients. Medical Care Research and Review 2013;70(1_suppl):50S
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Gavaruzzi T, Tasso A, Franiuk M, Varesco L, Lotto L. A Psychological Perspective on Factors Predicting Prophylactic Salpingo‐Oophorectomy in a Sample of Italian Women from the General Population. Results from a Hypothetical Study in the Context of BRCA Mutations. Journal of Genetic Counseling 2017;26(5):1144
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Janssen E, Ruiter RAC, Waters EA. 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
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Jenkins SC, Harris AJL, Lark RM. When unlikely outcomes occur: the role of communication format in maintaining communicator credibility. Journal of Risk Research 2019;22(5):537
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Waters EA, Taber JM, McQueen A, Housten AJ, Studts JL, Scherer LD. 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
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Vromans RD, Pauws SC, Bol N, van de Poll-Franse LV, Krahmer EJ. Communicating tailored risk information of cancer treatment side effects: Only words or also numbers?. BMC Medical Informatics and Decision Making 2020;20(1)
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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
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Gunn CM, Maschke A, Paasche-Orlow MK, Housten AJ, Kressin NR, Schonberg MA, Battaglia TA. Using Mixed Methods With Multiple Stakeholders to Inform Development of a Breast Cancer Screening Decision Aid for Women With Limited Health Literacy. MDM Policy & Practice 2021;6(2):238146832110332
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Thompson CA, Taber JM, Fitzsimmons CJ, Sidney PG. Math predictors of numeric health and non-health decision-making problems. Journal of Numerical Cognition 2021;7(2):221
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Huilgol YS, Keane H, Shieh Y, Hiatt RA, Tice JA, Madlensky L, Sabacan L, Fiscalini AS, Ziv E, Acerbi I, Che M, Anton-Culver H, Borowsky AD, Hunt S, Naeim A, Parker BA, van ‘T Veer LJ, Esserman LJ. Elevated risk thresholds predict endocrine risk-reducing medication use in the Athena screening registry. npj Breast Cancer 2021;7(1)
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Krull S, Boecker L, Loschelder DD. The Power and Peril of Precise vs. Round Health Message Interventions to Increase Stair Use. Frontiers in Psychology 2021;12
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Paige SR, Wilczewski H, Casale TB, Bunnell BE. Using a computer-tailored COPD screening assessment to promote advice-seeking behaviors. World Allergy Organization Journal 2021;14(11):100603
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Vromans RD, Tillier CN, Pauws SC, van der Poel HG, van de Poll-Franse LV, Krahmer EJ. 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
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Ancker JS, Benda NC, Zikmund-Fisher BJ. Do you want to promote recall, perceptions, or behavior? The best data visualization depends on the communication goal. Journal of the American Medical Informatics Association 2024;31(2):525
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Auger N, Brousseau , Fraser WD. Reply: when the clinical point gets lost in the decimal point. American Journal of Obstetrics and Gynecology 2024;230(4):e65
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.1656):