Perceived threat and corroboration: Key factors that improve a predictive model of trust in internet-based health information and advice

Journal of Medical Internet Research

Volumn 13, Issue 3, 2011, Pages

  Harris, Peter R ^a   Sillence, Elizabeth ^b   Briggs, Pam ^b  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

E health; Fear appeal; Internet; Social cognition models; Threat; Trust

Indexed keywords

ADAPTIVE BEHAVIOR; ADULT; ARTICLE; ATTITUDE TO HEALTH; CONSUMER; CONSUMER HEALTH INFORMATION; FEMALE; HEALTH PROMOTION; HUMAN; INFORMATION DISSEMINATION; INFORMATION RETRIEVAL; INTERNET; MALE; METHODOLOGY; MIDDLE AGED; PSYCHOLOGICAL ASPECT; STATISTICS; TRUST; UTILIZATION REVIEW;

ADAPTATION, PSYCHOLOGICAL; ADULT; ATTITUDE TO HEALTH; CONSUMER HEALTH INFORMATION; CONSUMER PARTICIPATION; FEMALE; HEALTH PROMOTION; HUMANS; INFORMATION DISSEMINATION; INFORMATION STORAGE AND RETRIEVAL; INTERNET; MALE; MIDDLE AGED; TRUST; YOUNG ADULT;

EID: 80053483151     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.1821     Document Type: Article

References (40)

1. Fox S. Peer-to-peer healthcare. Washington, DC: Pew Internet & American Life Project; 2011 Feb 28. URL: http://www.pewinternet.org/-/media// Files/Reports/2011/Pew-P2PHealthcare-2011.pdf [accessed 2011-07-19] [WebCite Cache ID 60I47XlTi]
2. Berger M, Wagner TH, Baker LC. Internet use and stigmatized illness. Soc Sci Med 2005 Oct;61(8):1821-1827. [doi: 10.1016/j.socscimed.2005.03.025] [Medline: 16029778] (Pubitemid 40982174)
3. Klein JD, Wilson KM. Delivering quality care: adolescents' discussion of health risks with their providers. J Adolesc Health 2002 Mar;30(3):190-195. [Medline: 11869926] (Pubitemid 34175144)
4. Rozmovits L, Ziebland S. What do patients with prostate or breast cancer want from an Internet site? A qualitative study of information needs. Patient Educ Couns 2004 Apr;53(1):57-64. [doi: 10.1016/S0738-3991(03)00116-2] [Medline: 15062905] (Pubitemid 38519986)
5. Carvel J. Lack of information worries NHS patients. The Guardian 2005 Feb 21:10.
6. Kessels RP. Patients' memory for medical information. J R Soc Med 2003 May;96(5):219-222 [FREE Full text] [Medline: 12724430] (Pubitemid 36561066)
7. Jansen J, Butow PN, van Weert J, van Dulmen S. Does age really matter? Recall of information presented to newly referred patients with cancer. J Clin Oncol 2008;28:5450-5457. [Medline: 18936478]
8. Fox S, Rainie L. Pew Internet and American Life Project. Washington, DC: Pew Internet & American Life Project; 2000 Nov 26. The online health care revolution: how the Web helps Americans take better care of themselves URL: http://www.pewinternet.org/-/media//Files/Reports/2000/PIP-Health-Report.pdf. pdf [accessed 2011-07-19] [WebCite Cache ID 60I4MXhx7]
9. Eysenbach G, Powell J, Kuss O, Sa ER. Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA 2002;287(20):2691-2700 [FREE Full text] [Medline: 12020305] (Pubitemid 34533548)
10. Rotter JB. A new scale for the measurement of interpersonal trust. J Pers 1967 Dec;35(4):651-665. [Medline: 4865583]
11. Fogg BJ, Marshall J, Laraki O. What makes web sites credible? A report on a large quantitative study. In: Human Factors & Computing Systems Proceedings, 2001 Mar 31-Apr 5, Seattle. New York, NY: ACM; 2001:61-68. (Pubitemid 32393340)
12. Kim J, Moon JY. Designing towards emotional usability in customer interfaces: trustworthiness of cyber-banking system interfaces. Interacting with Computers 1998;10:1-29. [doi: 10.1016/S0953-5438(97)00037-4] (Pubitemid 128457060)
13. Standford J, Tauber E, Fogg BJ, Marable L. Consumer Reports WebWatch. Experts vs. Online Consumers: A Comparative Credibility Study of Health and Finance Web Sites URL: http://www.consumerwebwatch.org/pdfs/expert-vs-online- consumers.pdf [accessed 2011-07-19] [WebCite Cache ID 60I4PuRuL]
14. Sillence E, Briggs P, Harris P, Fishwick L. A framework for understanding trust factors in web-based health advice. Int J Hum Comput Stud 2006;64:697-713. [doi: 10.1016/j.ijhcs.2006.02.007]
15. Eysenbach G, Köhler C. How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews. BMJ 2002 Mar 9;324(7337):573-577 [FREE Full text] [Medline: 11884321] (Pubitemid 34214337)
16. Briggs P, Burford B, De Angeli A, Lynch P. Trust in online advice. Soc Sci Comput Rev 2002;20:321-332. [doi: 10.1177/089443930202000309] (Pubitemid 36689129)
17. Sillence E, Briggs P, Harris PR, Fishwick L. How do patients evaluate and make use of online health information? Soc Sci Med 2007 May;64(9):1853-1862. [doi: 10.1016/j.socscimed.2007.01.012] [Medline: 17328998]
18. Reed M, Anderson C. Evaluation of patient information Internet web sites about menopause and hormone replacement therapy. Maturitas 2002 Oct 25;43(2):135-154. [Medline: 12385862] (Pubitemid 35217773)
19. Sillence E, Briggs P, Herxheimer A. Personal experiences matter: what patients think about hypertension information online. He@lth Infom Internet 2004;42:3-5.
20. Corritore CL, Kracher B, Wiedenbeck S. On-line trust: concepts, evolving themes, a model. Int J Hum Comput Stud 2003;58:737-758. [doi: 10.1016/S1071-5819(03)00041-7]
21. Wang YD, Emurain HH. An overview of online trust: concepts, elements and implications. Comput Hum Behav 2005;21:105-125. [doi: 10.1016/j.chb.2003.11.008]
22. Egger FN. Affective design of e-commerce user interfaces: how to maximise perceived trustworthiness. In: Helander M, Hkalid HM, Tham MP, editors. Proceedings of CAHD2001. London, UK: Asean Academic Press; 2001 Presented at: Affective Human Factors Design; June 27-29; Singapaore.
23. Good A, Abraham C. Measuring defensive responses to threatening messages: a meta-analysis of measures. Health Psychol Rev 2007;1:208-229. [doi: 10.1080/17437190802280889]
24. Renner B. Biased reasoning: adaptive responses to health risk feedback. Pers Soc Psychol Bull 2004 Mar;30(3):384-396. [doi: 10.1177/0146167203261296] [Medline: 15030627] (Pubitemid 38213832)
25. Ditto PH, Lopez DF. Motivated skepticism: use of differential decision criteria for preferred and nonpreferred conclusions. J Personal Soc Psychol 1992;63:568-584. [doi: 10.1037//0022-3514.63.4.568]
26. Joinson AN, Banyard P. Psychological aspects of information seeking on the Internet. Aslib Proc 2002;54:95-102. [doi: 10.1108/00012530210435220]
27. Harris PR, Epton T. The impact of self-affirmation on health-related cognition and health behaviour: issues and prospects. Soc Personal Psychol Compass 2010;4:439-454. [doi: 10.1111/j.1751-9004.2010.00270.x]
28. Rogers RW, Cacioppo BL, Petty LL. Cognitive and physiological processes in fear appeals and attitude change: a revised theory of protection motivation. In: Social Psychophysiology: A Sourcebook. New York, NY: Guilford Press; 1983:153-176.
29. Rogers RW, Prentice-Dunn SGochman DS. Protection motivation theory. In: Handbook of Health Behavior Research. New York, NY: Plenum Press; 1997:113-132.
30. Witte K. Putting the fear back into fear appeals: the extended parallel process model. Commun Monogr 1992;59:329-349. [doi: 10.1080/03637759209376276]
31. Sheeran P, Milne S, Webb TL, Gollwitzer PM. Implementation intentions and health behaviour. In: Conner M, Norman P, editors. Predicting Health Behaviour: Research and Practice with Social Cognition Models, 2nd ed. Maidenhead, UK: Open University Press; 2005:276-323.
32. Sillence E, Briggs P, Fishwick L, Harris P. Trust and mistrust of online health sites. In: Chi 2004: Connect: Conference Proceedings: April 24-29, Vienna, Austria: Conference on Human Factors in Computing Systems: Vienn (Chi Letters). New York, NY: ACM; 2004:663-670.
33. Marsh H, Balla J, Hau KT. An evaluation of incremental fit indices: a clarification of mathematical and empirical properties. In: Marcoulides GA, Schumacker RE, editors. Advanced Structural Equation Modeling: Issues and Techniques. Mahwah, NJ: L Erlbaum Associates; 1996.
34. Hall MA, Zheng B, Dugan E, Camacho F, Kidd KE, Mishra A, et al. Measuring patients' trust in their primary care providers. Med Care Res Rev 2002 Sep;59(3):293-318. [Medline: 12205830] (Pubitemid 34875754)
35. Egger FN. "Trust me, I'm an online vendor": towards a model of trust for e-commerce system design. In: CHI Extended Abstracts on Human Factors in Computing Systems. New York, NY: ACM; 2000.
36. Lee J, Kim J, Moon JY. What makes Internet users visit cyber stores again? Key design factors for customer loyalty. In: CHI 2000, The Future is Here: CHI 2000 Conference proceedings: Conference on Human Factors in Computing Systems. New York, NY: ACM; 2000.
37. Kruglanski AW, Webster DM, Klem A. Motivated resistance and openness to persuasion in the presence or absence of prior information. J Pers Soc Psychol 1993 Nov;65(5):861-876 [FREE Full text] [Medline: 8246114]
38. O'Neill SC, DeMarco T, Peshkin BN, Rogers S, Rispoli J, Brown K, et al. Tolerance for uncertainty and perceived risk among women receiving uninformative BRCA1/2 test results. Am J Med Genet C Semin Med Genet 2006 Nov 15;142C(4):251-259. [doi: 10.1002/ajmg.c.30104] [Medline: 17024668] (Pubitemid 44747452)
39. Patrick AS, Briggs P, Marsh S. Designing systems that people will trust. In: Cranor L, Garfinkel S, editors. Security and Usability: Designing Secure Systems That People Can Use. Sebastopol, CA: O'Reilly & Associates; 2005:99-127.
40. Schwarzer R. Self-efficacy in the adoption and maintenance of health behaviors: theoretical approaches and a new model. In: Schwarzer R, editor. Self-Efficacy: Thought Control Of Action. London, UK: Taylor & Francis; 1992:217-243.