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

Consumer & Patient Education and Shared-Decision Making (679) Consumer & Patient Education and Shared-Decision Making (679) Quality/Credibility of eHealth Information and Trust Issues (531) Information Quality in Digital Media (340) Cardiac Risk and Cardiac Risk Calculators (45) Patient Education in Cardiology (31)

Published on in Vol 20, No 2 (2018): February

Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review

Authors of this article:

Carissa Bonner1, 2 Author Orcid Image ;   Michael Anthony Fajardo1, 2 Author Orcid Image ;   Samuel Hui1 Author Orcid Image ;   Renee Stubbs1 Author Orcid Image ;   Lyndal Trevena1, 2 Author Orcid Image
Article Authors Cited by (45) Tweetations (41) Metrics

Journals

  1. Abidov A, Chehab O. Cardiovascular risk assessment models: Have we found the perfect solution yet?. Journal of Nuclear Cardiology 2020;27(6):2375 View
  2. Bonner C, Fajardo M, 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) View
  3. Rubel K, Alwani M, Nwosu O, Bandali E, Shipchandler T, Illing E, Ting J. Understandability and actionability of audiovisual patient education materials on sinusitis. International Forum of Allergy & Rhinology 2020;10(4):564 View
  4. Fajardo M, Weir K, 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 View
  5. Kang S, Lee M. Assessing of the audiovisual patient educational materials on diabetes care with PEMAT. Public Health Nursing 2019;36(3):379 View
  6. Bonner C, Patel P, Fajardo M, Zhuang R, Trevena L. Online decision aids for primary cardiovascular disease prevention: systematic search, evaluation of quality and suitability for low health literacy patients. BMJ Open 2019;9(3):e025173 View
  7. Sisa I. Comment on: Clinical Validity, Understandability, and Actionability of Online Cardiovascular Disease Risk Calculators: Systematic Review. Journal of Medical Internet Research 2018;20(3):e10093 View
  8. Tracy M, Shepherd H, Patel P, Trevena L. Exploring the Vast Choice of Question Prompt Lists Available to Health Consumers via Google: Environmental Scan. Journal of Medical Internet Research 2020;22(5):e17002 View
  9. Fajardo M, Balthazaar G, Zalums A, Trevena L, Bonner C. Favourable understandability, but poor actionability: An evaluation of online type 2 diabetes risk calculators. Patient Education and Counseling 2019;102(3):467 View
  10. Khunti K, Jung H, Dans A, Held C, Dagenais G, Yusuf S, Lonn E. Statin Use in Primary Prevention: A Simple Trial-Based Approach Compared With Guideline-Recommended Risk Algorithms for Selection of Eligible Patients. Canadian Journal of Cardiology 2019;35(5):644 View
  11. Fajardo M, Durayb B, Zhong H, Trevena L, Traeger A, Bonner C. Online Decision Aids for Knee Osteoarthritis and Low Back Pain: An Environmental Scan and Evaluation. Medical Decision Making 2019;39(4):328 View
  12. Weerarathna T, Liyanage G, Herath M, Weerarathna M, Amarasinghe I. Value of Estimated Glomerular Filtration Rate and Albuminuria in Predicting Cardiovascular Risk in Patients with Type 2 Diabetes without Cardiovascular Disease. BioMed Research International 2018;2018:1 View
  13. Arostegui I, Legarreta M, Barrio I, Esteban C, Garcia-Gutierrez S, Aguirre U, Quintana J. A Computer Application to Predict Adverse Events in the Short-Term Evolution of Patients With Exacerbation of Chronic Obstructive Pulmonary Disease. JMIR Medical Informatics 2019;7(2):e10773 View
  14. 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
  15. Dorri S, Asadi F, Olfatbakhsh A, Kazemi A. A Systematic Review of Electronic Health (eHealth) interventions to improve physical activity in patients with breast cancer. Breast Cancer 2020;27(1):25 View
  16. Kuznetsov V, Gapon L, Malishevskii L, Lobuntsov D, Dziabenko E, Soldatova A, Pushkarev G, Todosiychuk V, Yaroslavskaya E. Mathematical models in cardiology: From formulas to real clinical practice. The Siberian Journal of Clinical and Experimental Medicine 2020;35(4):39 View
  17. Kuhlberg H, Kujala S, Hörhammer I, Koskela T. STAR Duodecim eHealth Tool to Recognize Chronic Disease Risk Factors and Change Unhealthy Lifestyle Choices Among the Long-Term Unemployed: Protocol for a Mixed Methods Validation Study. JMIR Research Protocols 2021;10(6):e27668 View
  18. 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
  19. Karunaratne S, Harris I, Trevena L, Horsley M, Fajardo M, Solomon M. Online Decision Aids for Knee Arthroplasty. JBJS Reviews 2021;9(4) View
  20. Witteman H, Zikmund-Fisher B. Communicating laboratory results to patients and families. Clinical Chemistry and Laboratory Medicine (CCLM) 2019;57(3):359 View
  21. Kalch A, Albani A, Küchler C, Bilandzic H, Fischer S, Kirchberger I. Evidence-based health information about pulmonary embolism: Assessing the quality, usability and readability of online and offline patient information. PEC Innovation 2022;1:100103 View
  22. 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 View
  23. Abbott A. Extra-Cranial Carotid Artery Stenosis: An Objective Analysis of the Available Evidence. Frontiers in Neurology 2022;13 View
  24. Gidlow C, Ellis N, 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 View
  25. Christensen D, Phelps M, Gerds T, Malmborg M, Schjerning A, Strange J, El-Chouli M, Larsen L, Fosbøl E, Køber L, Torp-Pedersen C, Mehta S, Jackson R, Gislason G, Szummer K. Prediction of first cardiovascular disease event in 2.9 million individuals using Danish administrative healthcare data: a nationwide, registry-based derivation and validation study. European Heart Journal Open 2021;1(2) View
  26. 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 View
  27. Badawy M, Naing L, Johar S, Ong S, Rahman H, Tengah D, Chong C, Tuah N. Evaluation of cardiovascular diseases risk calculators for CVDs prevention and management: scoping review. BMC Public Health 2022;22(1) View
  28. Chaitanya Kumar I, Muni Srikanth I, Bodade A, Khade A, Jayam C, Sriranjitha T, Mani A. Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study. Cureus 2022 View
  29. Chaitanya Kumar I, Mani A, Sriranjitha T, Muni Srikanth I, Aswathy K, Bhakta S, Annapureddy P, Bojedla S, Yellamilli H, Jayam C. Assessment of Understandability and Actionability of YouTube Videos on Hemolytic Disease of the Newborn. Cureus 2023 View
  30. McKinn S, Batcup C, Cornell S, Freeman N, Doust J, Bell K, Figtree G, Bonner C. Decision Support Tools for Coronary Artery Calcium Scoring in the Primary Prevention of Cardiovascular Disease Do Not Meet Health Literacy Needs: A Systematic Environmental Scan and Evaluation. International Journal of Environmental Research and Public Health 2022;19(18):11705 View
  31. Cornell S, Doust J, Morgan M, Greaves K, Hawkes A, 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 View
  32. 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 View
  33. Cornell S, Brander R, Peden A. Selfie-Related Incidents: Narrative Review and Media Content Analysis. Journal of Medical Internet Research 2023;25:e47202 View
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  35. Bakhit M, Fien S, Abukmail E, Jones M, Clark J, Scott A, Glasziou P, Cardona M. Cardiovascular disease risk communication and prevention: a meta-analysis. European Heart Journal 2024;45(12):998 View
  36. Alhashem A, Albahouth A, Alotaibi R, Alashwl R. Prevalence of High-Quality Arabic Patient Education Materials on Type 2 Diabetes. American Journal of Health Education 2024;55(2):100 View
  37. Schilstra C, Ellis S, Cohen J, Gall A, Diaz A, Clarke K, Dumlao G, Chard J, Cumming T, Davis E, Dhillon H, Burns M, Docking K, Koh E, O'Reilly J, Sansom-Daly U, Shaw J, Speers N, Taylor N, Warne A, Fardell J. Exploring Web-Based Information and Resources That Support Adolescents and Young Adults With Cancer to Resume Study and Work: Environmental Scan Study. JMIR Cancer 2024;10:e47944 View
  38. Bhatt C, Lin E, Ferreira‐Legere L, Jackevicius C, Ko D, Lee D, Schade K, Johnston S, Anderson T, Udell J. Evaluating Readability, Understandability, and Actionability of Online Printable Patient Education Materials for Cholesterol Management: A Systematic Review. Journal of the American Heart Association 2024;13(8) View
  39. Jeanson F, Farkouh M, Godoy L, Minha S, Tzuman O, Marcus G. Medical calculators derived synthetic cohorts: a novel method for generating synthetic patient data. Scientific Reports 2024;14(1) View
  40. Raussi V, Kujala S, Hörhammer I, Savolainen K, Autio R, Koskela T. Comparing a Digital Health Check With Traditional Nurse-Led Health Examinations Among Long-Term Unemployed Individuals: Comparison Study. Journal of Medical Internet Research 2024;26:e49802 View
  41. Bonner C, Taba M, Fajardo M, Batcup C, Newell B, Li A, Mayfield H, Lau C, Litt J. Using health literacy principles to improve understanding of evolving evidence in health emergencies: Optimisation and evaluation of a COVID-19 vaccination risk-benefit calculator. Vaccine 2024;42(24):126296 View
  42. Gokoolparsadh A, Bourne M, McEwen A, Amor D, Turbitt E. Parents’ perspectives on conversations about prognosis and an assessment of prognostic information available online: A mixed-methods study. Disability and Health Journal 2024:101718 View
  43. Sastre-Alzamora T, Tárraga López P, López-González Á, Vallejos D, Paublini H, Ramírez Manent J. Usefulness of Atherogenic Indices for Predicting High Values of Avoidable Lost Life Years Heart Age in 139,634 Spanish Workers. Diagnostics 2024;14(21):2388 View
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Books/Policy Documents

  1. Bonneux C, Ruiz G, Dendale P, Coninx K. Persuasive Technology. View