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Citing this Article

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Published on 05.05.14 in Vol 16, No 5 (2014): May

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

Works citing "I Don't Believe It, But I'd Better Do Something About It: Patient Experiences of Online Heart Age Risk Calculators"

Carissa Bonner, Jesse Jansen, Ben R Newell, Les Irwig, Paul Glasziou, Jenny Doust, Haryana Dhillon, Kirsten McCaffery

J Med Internet Res 2014 (May 05); 16(5):e120 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3190):

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

  1. Appiah D, Capistrant BD. Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age. Scientific Reports 2017;7(1)
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  2. 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
  3. Stol DM, Hollander M, Damman OC, Nielen MMJ, Badenbroek IF, Schellevis FG, de Wit NJ. Mismatch between self-perceived and calculated cardiometabolic disease risk among participants in a prevention program for cardiometabolic disease: a cross-sectional study. BMC Public Health 2020;20(1)
    CrossRef
  4. Bonner C, McKinn S, McCaffrey K, Glasziou P, Irwig L, Doust J, Jansen J, Bell K. Is the NHS ‘Heart Age Test’ too much medicine?. British Journal of General Practice 2019;69(688):560
    CrossRef
  5. Reid RJ, Anderson ML, Fishman PA, McClure JB, Johnson RL, Catz SL, Green BB. Relationship between cardiovascular risk and lipid testing in one health care system: a retrospective cohort study. BMC Health Services Research 2015;15(1)
    CrossRef
  6. Goyal S, Morita PP, Picton P, Seto E, Zbib A, Cafazzo JA. Uptake of a Consumer-Focused mHealth Application for the Assessment and Prevention of Heart Disease: The <30 Days Study. JMIR mHealth and uHealth 2016;4(1):e32
    CrossRef
  7. Byrne P, Thetford C, Gabbay M, Clarke P, Doncaster E, Harding SP, Harding SP, Broadbent DM, Byrne P, Fisher AC, Gabbay M, García-Fiñana M, James M, Moitt T, Roberts J, Seddon D, Stratton IM, Vora JP, Williamson P, Appelbe D, Alshukri A, Cheyne CP, Darssan D, Eleuteri A, Grierson C, Howard L, Howlin SU, Lathe JG, Mobayen-Rahni M, Ovens A, Sampson CJ, Silvera K, Szmyt D, Thetford C, Vazquez-Arango P, Wang A, Williams AE, Collins J, Doncaster E, Kelly J, Lees P, Lees S, Williams B, Bunce C, Cooper H, Kumar V, Massat N, Rogers C, Rowlands A, Smith G, West J, Younis N, Criddle T, Perrett S, Jones L. Personalising screening of sight-threatening diabetic retinopathy - qualitative evidence to inform effective implementation. BMC Public Health 2020;20(1)
    CrossRef
  8. Bonner C, Jansen J, McKinn S, Irwig L, Doust J, Glasziou P, McCaffery K. Communicating cardiovascular disease risk: an interview study of General Practitioners’ use of absolute risk within tailored communication strategies. BMC Family Practice 2014;15(1)
    CrossRef
  9. Damman OC, Vonk SI, van den Haak MJ, van Hooijdonk CM, Timmermans DR. The effects of infographics and several quantitative versus qualitative formats for cardiovascular disease risk, including heart age, on people’s risk understanding. Patient Education and Counseling 2018;101(8):1410
    CrossRef
  10. Groenewegen K, den Ruijter H, Pasterkamp G, Polak J, Bots M, Peters SA. Vascular age to determine cardiovascular disease risk: A systematic review of its concepts, definitions, and clinical applications. European Journal of Preventive Cardiology 2016;23(3):264
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  11. Gidlow CJ, Ellis NJ, Cowap L, Riley VA, Crone D, Cottrell E, Grogan S, Chambers R, Clark-Carter D. Quantitative examination of video-recorded NHS Health Checks: comparison of the use of QRISK2 versus JBS3 cardiovascular risk calculators. BMJ Open 2020;10(9):e037790
    CrossRef
  12. Shefer G, Silarova B, Usher-Smith J, Griffin S. The response to receiving phenotypic and genetic coronary heart disease risk scores and lifestyle advice – a qualitative study. BMC Public Health 2016;16(1)
    CrossRef
  13. Manuel DG, Abdulaziz KE, Perez R, Beach S, Bennett C. Personalized risk communication for personalized risk assessment: Real world assessment of knowledge and motivation for six mortality risk measures from an online life expectancy calculator. Informatics for Health and Social Care 2018;43(1):42
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  14. Gidlow CJ, Ellis NJ, Cowap L, Riley V, Crone D, Cottrell E, Grogan S, Chambers R, Clark-Carter D. A qualitative study of cardiovascular disease risk communication in NHS Health Check using different risk calculators: protocol for the RIsk COmmunication in NHS Health Check (RICO) study. BMC Family Practice 2019;20(1)
    CrossRef
  15. Fajardo MA, Weir KR, Bonner C, Gnjidic D, Jansen J. Availability and readability of patient education materials for deprescribing: An environmental scan. British Journal of Clinical Pharmacology 2019;85(7):1396
    CrossRef
  16. Keyworth C, Nelson PA, Bundy C, Pye SR, Griffiths CEM, Cordingley L. Does message framing affect changes in behavioural intentions in people with psoriasis? A randomized exploratory study examining health risk communication. Psychology, Health & Medicine 2018;23(7):763
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  17. Moylett S, Hevey D. Testing threat-to-efficacy ratios in health communications about cardiovascular disease among an older population. Health Promotion International 2020;35(2):255
    CrossRef
  18. Maiga A, Farjah F, Blume J, Deppen S, Welty VF, D’Agostino RS, Colditz GA, Kozower BD, Grogan EL. Risk Prediction in Clinical Practice: A Practical Guide for Cardiothoracic Surgeons. The Annals of Thoracic Surgery 2019;108(5):1573
    CrossRef
  19. 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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  20. 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
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  21. Bonner C, McKinn S, Lau A, Jansen J, Doust J, Trevena L, McCaffery K. Heuristics and biases in cardiovascular disease prevention: How can we improve communication about risk, benefits and harms?. Patient Education and Counseling 2018;101(5):843
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  22. Bonner C, Fajardo MA, Hui S, Stubbs R, Trevena L. Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review. Journal of Medical Internet Research 2018;20(2):e29
    CrossRef
  23. . Tools and tables in cardiovascular risk management: doing more harm than good?. British Journal of General Practice 2015;65(633):e213
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  24. Thompson SG, Willeit P. UK Biobank comes of age. The Lancet 2015;386(9993):509
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  25. Moylett S, Hevey D. Examining the Extended Parallel Process Model for communicating about cardiovascular disease to an at-risk population utilising a think aloud methodology. HRB Open Research 2019;2:12
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  26. Bonner C, Fajardo MA, Doust J, McCaffery K, Trevena L. Implementing cardiovascular disease prevention guidelines to translate evidence-based medicine and shared decision making into general practice: theory-based intervention development, qualitative piloting and quantitative feasibility. Implementation Science 2019;14(1)
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  27. Riley V, Ellis NJ, Cowap L, Grogan S, Cottrell E, Crone D, Chambers R, Clark-Carter D, Fedorowicz S, Gidlow C. A qualitative exploration of two risk calculators using video-recorded NHS health check consultations. BMC Family Practice 2020;21(1)
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  28. 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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  29. 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
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  30. 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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  31. Gidlow CJ, Ellis NJ, Riley V, Cowap L, Crone D, Cottrell E, Grogan S, Chambers R, Calvert S, Clark-Carter D. Cardiovascular disease risk communication in NHS Health Checks: a qualitative video-stimulated recall interview study with practitioners. BJGP Open 2021;5(5):BJGPO.2021.0049
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  32. Irani F, Coquoz E, von Wolff M, Bitterlich N, Stute P. Awareness of non-communicable diseases in women: a cross-sectional study. Archives of Gynecology and Obstetrics 2022;306(3):801
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  33. 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
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  34. 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
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  35. Cornell S, Doust J, Morgan M, Greaves K, Hawkes AL, de Wet C, O'Connor D, Bonner C. Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention. PEC Innovation 2023;2:100140
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  36. Bonner C, Batcup C, Ayre J, Cvejic E, Trevena L, McCaffery K, Doust J. The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing. JMIR Cardio 2022;6(1):e34142
    CrossRef
  37. Gidlow CJ, Ellis NJ, Cowap L, Riley V, Crone D, Cottrell E, Grogan S, Chambers R, Clark-Carter D. Cardiovascular disease risk communication in NHS Health Checks using QRISK®2 and JBS3 risk calculators: the RICO qualitative and quantitative study. Health Technology Assessment 2021;25(50):1
    CrossRef
  38. Riley V, Gidlow C, Fedorowicz S, Lagord C, Thompson K, Woolner J, Taylor R, Clark J, Lloyd-Harris A. The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study. JMIR Cardio 2023;7:e39097
    CrossRef
  39. Batcup C, Bonner C, Ayre J. What makes an action plan “100% me”? Think aloud interviews about CVD prevention tools for varying health literacy needs. Health Promotion Journal of Australia 2024;35(1):68
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  40. Waters EA, Taber JM, Ackermann N, Maki J, McQueen AM, Scherer LD. Testing Explanations for Skepticism of Personalized Risk Information. Medical Decision Making 2023;43(4):430
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  41. Jessri M, Jacobs A, NG A, Bennett C, Quinlan A, Nutt C, Brown J, Hennessy D, Manuel DG, Cahill N. Development and Evaluation of the Dietary Pattern Calculator (DiPaC) for Personalized Assessment and Feedback. Canadian Journal of Dietetic Practice and Research 2024;85(1):25
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  42. Lorenc T, Stokes G, Fulbright H, Sutcliffe K, Sowden A. Communicating cardiovascular risk: Systematic review of qualitative evidence. Patient Education and Counseling 2024;123:108231
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  43. van Strien-Knippenberg IS, Arjangi-Babetti H, Timmermans DRM, Schrauwen L, Fransen MP, Melles M, Damman OC. Communicating the results of risk-based breast cancer screening through visualizations of risk: a participatory design approach. BMC Medical Informatics and Decision Making 2024;24(1)
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