Published on in Vol 11, No 3 (2009): Jul-Sep

The Effect of Credibility-Related Design Cues on Responses to a Web-Based Message About the Breast Cancer Risks From Alcohol: Randomized Controlled Trial

The Effect of Credibility-Related Design Cues on Responses to a Web-Based Message About the Breast Cancer Risks From Alcohol: Randomized Controlled Trial

The Effect of Credibility-Related Design Cues on Responses to a Web-Based Message About the Breast Cancer Risks From Alcohol: Randomized Controlled Trial

Journals

  1. Murray E, White I, Varagunam M, Godfrey C, Khadjesari Z, McCambridge J. Attrition Revisited: Adherence and Retention in a Web-Based Alcohol Trial. Journal of Medical Internet Research 2013;15(8):e162 View
  2. Da Costa D, Zelkowitz P, Letourneau N, Howlett A, Dennis C, Russell B, Grover S, Lowensteyn I, Chan P, Khalifé S. HealthyDads.ca: What Do Men Want in a Website Designed to Promote Emotional Wellness and Healthy Behaviors During the Transition to Parenthood?. Journal of Medical Internet Research 2017;19(10):e325 View
  3. Hollands G, Marteau T. The impact of using visual images of the body within a personalized health risk assessment: An experimental study. British Journal of Health Psychology 2013;18(2):263 View
  4. Kernisan L, Sudore R, Knight S. Information-Seeking at a Caregiving Website: A Qualitative Analysis. Journal of Medical Internet Research 2010;12(3):e31 View
  5. Lentferink A, Oldenhuis H, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen J. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277 View
  6. Antypas K, Wangberg S. Combining Users’ Needs With Health Behavior Models in Designing an Internet- and Mobile-Based Intervention for Physical Activity in Cardiac Rehabilitation. JMIR Research Protocols 2014;3(1):e4 View
  7. Sillence E, Hardy C, Medeiros L, LeJeune J. Examining trust factors in online food risk information: The case of unpasteurized or ‘raw’ milk. Appetite 2016;99:200 View
  8. Asbjørnsen R, Smedsrød M, Solberg Nes L, Wentzel J, Varsi C, Hjelmesæth J, van Gemert-Pijnen J. Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review. Journal of Medical Internet Research 2019;21(6):e14265 View
  9. Lehto T, Oinas-Kukkonen H. Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of the Literature. Journal of Medical Internet Research 2011;13(3):e46 View
  10. Lund H. Eye tracking in library and information science: a literature review. Library Hi Tech 2016;34(4):585 View
  11. Jung E, Walsh-Childers K, Kim H. Factors influencing the perceived credibility of diet-nutrition information web sites. Computers in Human Behavior 2016;58:37 View
  12. Prusti M, Lehtineva S, Pohjanoksa-Mäntylä M, Bell J. The quality of online antidepressant drug information: An evaluation of English and Finnish language Web sites. Research in Social and Administrative Pharmacy 2012;8(3):263 View
  13. Hershkovitz A, Hayat Z. The role of tie strength in assessing credibility of scientific content on facebook. Technology in Society 2020;61:101261 View
  14. Zulman D, Kirch M, Zheng K, An L. Trust in the Internet as a Health Resource Among Older Adults: Analysis of Data from a Nationally Representative Survey. Journal of Medical Internet Research 2011;13(1):e19 View
  15. King A, Bol N, Cummins R, John K. Improving Visual Behavior Research in Communication Science: An Overview, Review, and Reporting Recommendations for Using Eye-Tracking Methods. Communication Methods and Measures 2019;13(3):149 View
  16. van Velsen L, van Gemert-Pijnen J, Beaujean D, Wentzel J, van Steenbergen J. Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak. Journal of Medical Internet Research 2012;14(6):e181 View
  17. Reavley N, Jorm A. The quality of mental disorder information websites: A review. Patient Education and Counseling 2011;85(2):e16 View
  18. Ziebland S, Powell J, Briggs P, Jenkinson C, Wyke S, Sillence E, Harris P, Perera R, Mazanderani F, Martin A, Locock L, Kelly L, Booth M, Gann B, Newhouse N, Farmer A. Examining the role of patients’ experiences as a resource for choice and decision-making in health care: a creative, interdisciplinary mixed-method study in digital health. Programme Grants for Applied Research 2016;4(17):1 View
  19. Murray E. Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress. Medicine 2.0 2012;1(2):e3 View
  20. 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
  21. Qin Q, Ke Q, Du J, Xie Y. How Users’ Gaze Behavior Is Related to Their Quality Evaluation of a Health Website Based on HONcode Principles?. Data and Information Management 2021;5(1):75 View
  22. Maurage P, Bollen Z, Masson N, D’Hondt F. Eye Tracking Studies Exploring Cognitive and Affective Processes among Alcohol Drinkers: a Systematic Review and Perspectives. Neuropsychology Review 2021;31(1):167 View
  23. Liu L, Shi L. Does the ownership of health website matter? A cross-sectional study on Chinese consumer behavior. International Journal of Medical Informatics 2021;152:104485 View

Books/Policy Documents

  1. Sillence E, Briggs P. The Handbook of the Psychology of Communication Technology. View
  2. Sillence E, Briggs P, Harris P. Web-Based Behavioral Therapies for Mental Disorders. View