Published on in Vol 6, No 1 (2022): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34142, first published .
The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing

The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing

The Impact of Health Literacy–Sensitive Design and Heart Age in a Cardiovascular Disease Prevention Decision Aid: Randomized Controlled Trial and End-User Testing

Journals

  1. 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
  2. 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
  3. 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 View
  4. Wasir A, Volgman A, Jolly M. Assessing readability and comprehension of web-based patient education materials by American Heart Association (AHA) and CardioSmart online platform by American College of Cardiology (ACC): How useful are these websites for patient understanding?. American Heart Journal Plus: Cardiology Research and Practice 2023;32:100308 View
  5. Bonner C, Batcup C, Cvejic E, Ayre J, Pickles K, Copp T, Cornell S, Nickel B, Dhahir M, McCaffery K. Addressing Behavioral Barriers to COVID-19 Testing With Health Literacy–Sensitive eHealth Interventions: Results From 2 National Surveys and 2 Randomized Experiments. JMIR Public Health and Surveillance 2023;9:e40441 View
  6. Starnecker F, Reimer L, Nissen L, Jovanović M, Kapsecker M, Rospleszcz S, von Scheidt M, Krefting J, Krüger N, Perl B, Wiehler J, Sun R, Jonas S, Schunkert H. Guideline-Based Cardiovascular Risk Assessment Delivered by an mHealth App: Development Study. JMIR Cardio 2023;7:e50813 View
  7. 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
  8. Stacey D, Lewis K, Smith M, Carley M, Volk R, Douglas E, Pacheco-Brousseau L, Finderup J, Gunderson J, Barry M, Bennett C, Bravo P, Steffensen K, Gogovor A, Graham I, Kelly S, Légaré F, Sondergaard H, Thomson R, Trenaman L, Trevena L. Decision aids for people facing health treatment or screening decisions. Cochrane Database of Systematic Reviews 2024;2024(1) View
  9. Bonner C, Cornell S, Pickles K, Batcup C, de Wet C, Morgan M, Greaves K, O’Connor D, Hawkes A, Crosland P, Chapman N, Doust J. Implementing decision aids for cardiovascular disease prevention: stakeholder interviews and case studies in Australian primary care. BMC Primary Care 2024;25(1) View
  10. Fajardo M, Batcup C, Ayre J, McKinn S, Knight J, Raffoul N, Brims K, Nelson A, Bonner C. Could nudges reduce health literacy disparities in CVD prevention? An experiment using alternative messages for CVD risk assessment screening. Patient Education and Counseling 2024;123:108192 View