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

Quality/Credibility of eHealth Information and Trust Issues (485)

Published on in Vol 13, No 3 (2011): Jul-Sep

Perceived Threat and Corroboration: Key Factors That Improve a Predictive Model of Trust in Internet-based Health Information and Advice

Perceived Threat and Corroboration: Key Factors That Improve a Predictive Model of Trust in Internet-based Health Information and Advice

Perceived Threat and Corroboration: Key Factors That Improve a Predictive Model of Trust in Internet-based Health Information and Advice

Authors of this article:

Peter R Harris1 ;   Elizabeth Sillence2 ;   Pam Briggs3
Article Authors Cited by (67) Tweetations (3) Metrics

Journals

  1. Rowley J, Johnson F, Sbaffi L. Gender as an influencer of online health information‐seeking and evaluation behavior. Journal of the Association for Information Science and Technology 2017;68(1):36 View
  2. Kravitz R, Bell R. Media, messages, and medication: strategies to reconcile what patients hear, what they want, and what they need from medications. BMC Medical Informatics and Decision Making 2013;13(S3) View
  3. Lee H, Jin S, Henning-Smith C, Lee J, Lee J. Role of Health Literacy in Health-Related Information-Seeking Behavior Online: Cross-sectional Study. Journal of Medical Internet Research 2021;23(1):e14088 View
  4. Rotaru T, Frățilă O, Bărboi O, Ciortescu I, Mihai C, Anton C, Ștefănescu G, Drug V. A comparison using standardized measures for patients with irritable bowel syndrome: Trust in the gastroenterologist and reliance on the internet. Neurogastroenterology & Motility 2021;33(5) View
  5. Sillence E, Blythe J, Briggs P, Moss M. A Revised Model of Trust in Internet-Based Health Information and Advice: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2019;21(11):e11125 View
  6. Johnson F, Rowley J, Sbaffi L. Modelling trust formation in health information contexts. Journal of Information Science 2015;41(4):415 View
  7. Betts L, Hill R, Gardner S. “There’s Not Enough Knowledge Out There”: Examining Older Adults’ Perceptions of Digital Technology Use and Digital Inclusion Classes. Journal of Applied Gerontology 2019;38(8):1147 View
  8. Wang N, Li Q, Lee G. Study on Hospital Medical Information Engineering. ITM Web of Conferences 2019;26:02006 View
  9. Fielden A, Sillence E, Little L, Harris P. Online Self‐Affirmation Increases Fruit and Vegetable Consumption in Groups at High Risk of Low Intake. Applied Psychology: Health and Well-Being 2016;8(1):3 View
  10. Yardley L, Morrison L, Bradbury K, Muller I. The Person-Based Approach to Intervention Development: Application to Digital Health-Related Behavior Change Interventions. Journal of Medical Internet Research 2015;17(1):e30 View
  11. 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
  12. Wang J, Wang N, Lee G. Research on Hospital Information Integration. ITM Web of Conferences 2019;26:02008 View
  13. Fernandez-Luque L, Karlsen R, Melton G. HealthTrust: A Social Network Approach for Retrieving Online Health Videos. Journal of Medical Internet Research 2012;14(1):e22 View
  14. Nordfeldt S, Ängarne-Lindberg T, Nordwall M, Krevers B, Baradaran H. Parents of Adolescents with Type 1 Diabetes - Their Views on Information and Communication Needs and Internet Use. A Qualitative Study. PLoS ONE 2013;8(4):e62096 View
  15. Zhang X, Zhang R, Lu X. Exploring the Effects of Patient Activation in Online Health Communities on Patient Compliance. Telemedicine and e-Health 2020;26(11):1373 View
  16. Zhang Y, Zhao Y, Lin X, Wang A, Che D. Modeling for the prediction of Hepatitis B incidence based on integrated online search indexes. Informatics in Medicine Unlocked 2018;10:143 View
  17. Sillence E, Hardy C, Briggs P, Harris P. How do people with asthma use Internet sites containing patient experiences?. Patient Education and Counseling 2013;93(3):439 View
  18. Zhang R, Lu X, Wu W, Shang X, Liu M. Mature or Emerging? The Impact of Treatment-Related Internet Health Information Seeking on Patients’ Trust in Physicians. International Journal of Environmental Research and Public Health 2018;15(9):1855 View
  19. Sillence L, Mo P, Briggs P, Harris P. The Changing Face of Trust in Health Websites. SSRN Electronic Journal 2011 View
  20. Kim Y. Trust in health information websites: A systematic literature review on the antecedents of trust. Health Informatics Journal 2016;22(2):355 View
  21. Carmel A, Cornelius-Schecter A, Frankel B, Jannat-Khah D, Sinha S, Pelzman F, Safford M. Evaluation of the Patient Activated Learning System (PALS) to improve knowledge acquisition, retention, and medication decision making among hypertensive adults: Results of a pilot randomized controlled trial. Patient Education and Counseling 2019;102(8):1467 View
  22. Zschorlich B, Gechter D, Janßen I, Swinehart T, Wiegard B, Koch K. Gesundheitsinformationen im Internet: Wer sucht was, wann und wie?. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen 2015;109(2):144 View
  23. LaValley S, Kiviniemi M, Gage‐Bouchard E. Where people look for online health information. Health Information & Libraries Journal 2017;34(2):146 View
  24. Rowley J, Johnson F, Sbaffi L. Students’ trust judgements in online health information seeking. Health Informatics Journal 2015;21(4):316 View
  25. Deng Z, Liu S, Hinz O. The health information seeking and usage behavior intention of Chinese consumers through mobile phones. Information Technology & People 2015;28(2):405 View
  26. Johnson F, Sbaffi L, Rowley J. Students' approaches to the evaluation of digital information: Insights from their trust judgments. British Journal of Educational Technology 2016;47(6):1243 View
  27. Kelly L, Ziebland S, Jenkinson C. Measuring the effects of online health information: Scale validation for the e-Health Impact Questionnaire. Patient Education and Counseling 2015;98(11):1418 View
  28. Barbara A, Dobbins M, Haynes R, Iorio A, Lavis J, Raina P, Levinson A. The McMaster Optimal Aging Portal: Usability Evaluation of a Unique Evidence-Based Health Information Website. JMIR Human Factors 2016;3(1):e14 View
  29. Ahmad A, Khan M. Students Seeking Health-related Information over Internet. Journal of Health Management 2017;19(2):352 View
  30. Khosrowjerdi M. A review of theory-driven models of trust in the online health context. IFLA Journal 2016;42(3):189 View
  31. Sbaffi L, Rowley J. Trust and Credibility in Web-Based Health Information: A Review and Agenda for Future Research. Journal of Medical Internet Research 2017;19(6):e218 View
  32. 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
  33. Enz A, Schöffl V, Simon M, Back D, Tischer T, Lutter C. Generation „Social Media“ – Nutzung moderner Medien zum Informationsgewinn bezüglich Sportverletzungen. Sportverletzung · Sportschaden 2021;35(02):95 View
  34. McConalogue E, Davis P, Connolly R. Health Technology Assessment: The Role of Total Cost of Ownership. Business Systems Research Journal 2019;10(1):180 View
  35. Williams J, Fong-Gurzinsky J, Nagavally S, Walker R, Asan O, Ozieh M, Egede L. Preferences in trust regarding the provision of cancer information among adults. Journal of the National Medical Association 2021;113(4):457 View
  36. Chaiken S, Han L, Darney B, Han L. Factors Associated With Perceived Trust of False Abortion Websites: Cross-sectional Online Survey. Journal of Medical Internet Research 2021;23(4):e25323 View
  37. Li P, Xu L, Tang T, Wu X, Huang C. Users’ Willingness to Share Health Information in a Social Question-and-Answer Community: Cross-sectional Survey in China. JMIR Medical Informatics 2021;9(3):e26265 View
  38. Hui C, McKinstry B, Fulton O, Buchner M, Pinnock H. Patients’ and Clinicians’ Perceived Trust in Internet-of-Things Systems to Support Asthma Self-management: Qualitative Interview Study. JMIR mHealth and uHealth 2021;9(7):e24127 View
  39. Li P, Xu L, Tang T, Wu X, Huang C. Willingness to Adopt Health Information Among Social Question-and-Answer Community Users in China: Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(5):e27811 View
  40. Chang C. Seeking Scientific Health Information for Empowerment: Empowered-Get-More-Empowered Effects. Science Communication 2022;44(2):169 View
  41. Keyte R, Egan H, Jackson C, Nash E, Regan A, Mantzios M. A weekend/weekday comparison of adherence to daily treatment regimens in adults with cystic fibrosis. Health Psychology Report 2017;6(2):146 View
  42. Zhang Y, Yi S, Trace C, Williams-Brown M. Understanding the Information Needs of Patients With Ovarian Cancer Regarding Genetic Testing to Inform Intervention Design: Interview Study. JMIR Cancer 2022;8(1):e31263 View
  43. Ceretti E, Covolo L, Cappellini F, Nanni A, Sorosina S, Beatini A, Taranto M, Gasparini A, De Castro P, Brusaferro S, Gelatti U. Evaluating the Effectiveness of Internet-Based Communication for Public Health: Systematic Review. Journal of Medical Internet Research 2022;24(9):e38541 View
  44. Llaha F, Ribalta A, Arribas L, Bellver M, Roura E, Guillén-Rey N, Megias-Rangil I, Alegret-Basora C, Tresserra-Rimbau A, Zamora-Ros R. A Review of Web-Based Nutrition Information in Spanish for Cancer Patients and Survivors. Nutrients 2022;14(7):1441 View
  45. Lowe C, Browne M, Marsh W, Morrissey D. Usability Testing of a Digital Assessment Routing Tool for Musculoskeletal Disorders: Iterative, Convergent Mixed Methods Study. Journal of Medical Internet Research 2022;24(8):e38352 View
  46. Claggett J, Kitchens B, Paino M, Beisecker Levin K. The Effects of Website Traits and Medical Skepticism on Patients’ Willingness to Follow Web-Based Medical Advice: Web-Based Experiment. Journal of Medical Internet Research 2022;24(2):e29275 View
  47. Zhang Y, Kim Y. Consumers’ Evaluation of Web-Based Health Information Quality: Meta-analysis. Journal of Medical Internet Research 2022;24(4):e36463 View
  48. Moreno J, Sánchez-Anguix V, Alberola J, Julián V, Botti V. An intelligent conversational agent for educating the general public about HIV. Neurocomputing 2024;563:126902 View
  49. EYÜBOĞLU E. Ebeveynler ve Online Sağlık Bilgisi Arama Davranışı: Sağlık Okuryazarlığı Kapsamında Bir İnceleme. TRT Akademi 2023;08(19):904 View
  50. Lungu D, Røislien J, Berg S, Smeets I, Shortt M, Thune H, Brønnick K. Assessing the Effect of Nonvisual Information Factors in Pandemic-Related Video Communication: Randomized Controlled Between-Subjects Experiment. Journal of Medical Internet Research 2023;25:e42528 View
  51. Lim H, Ng C, Abdullah A, Dunn A. How do patients with high cardiovascular risk evaluate online health information? A qualitative study. BMC Primary Care 2023;24(1) View
  52. Wu X, Zhou Z, Chen S. A mixed-methods investigation of the factors affecting the use of facial recognition as a threatening AI application. Internet Research 2024 View
  53. Taub G, Elmalech A, Aharony N. Trust and attitude toward information presented using augmented reality and other technological means. Heliyon 2024;10(4):e25944 View
  54. Bagley B, Anthony K, Venette S. Linguistic agency in disaster messaging: differing strategies for threat and efficacy perceptions. Atlantic Journal of Communication 2024:1 View

Books/Policy Documents

  1. Wetter T. Consumer Health Informatics. View
  2. Sillence E, Briggs P, Harris P. Web-Based Behavioral Therapies for Mental Disorders. View
  3. Sillence E, Briggs P. The Handbook of the Psychology of Communication Technology. View
  4. Blöbaum B. Trust and Communication in a Digitized World. View
  5. Yardley L, Morrison L, Muller I, Bradbury K. The Handbook of Behavior Change. View
  6. Rowley J. Encyclopedia of Information Science and Technology, Third Edition. View
  7. Moreno J, Sánchez-Anguix V, Alberola J, Julián V, Botti V. Hybrid Artificial Intelligent Systems. View