The Conceptualization of Integrated Consumer Health Informatics Utilization Framework
References:
[1] Eysenbach G. Consumer health informatics. BMJ 24; 320(7251): 1713-
1716, June 2000.
[2] Shortliffe EH, Perrault L. Medical informatics: Computer applications
in health care. Reading, MA: Addison-Wesley, 1990.
[3] Moorman C, Matulich E. A model of consumers- preventive health
behaviors: The role of health motivation and health ability. J Consum
Res; 20: pp. 208-28, 1993.
[4] Pasinlioglu T. Health education for pregnant women: The role of
background characteristics. Patient Educ Couns; 53:101-6, 2003.
[5] Wiltshire J, Cronin K, Sarto GE, Brown R. Self-advocacy during the
medical encounter: Use of health information and racial/ethnic
differences. Med Care; 44: pp. 100-9, 2006.
[6] Gilmour, J. A. Reducing disparities in the access and use of Internet
health information. A discussion paper. International Journal of Nursing
Studies, 44, pp. 1270-1278, 2007.
[7] Lemire, M., Sicotte, C. & Pare, G. Internet use and the logics of
personal empowerment in health. Health Policy, 88, pp. 130-140, 2008.
[8] Marton, C. Understanding how women seek health information on the
web. PhD thesis. University of Toronto, Toronto. Available at:
http://hdl.handle.net/1807/29808 (accessed 1 December 2011), 2011.
[9] Yun, E. K. & Park, H.-A. Consumers- disease information-seeking
behavior on the Internet in Korea. Journal of Clinical Nursing, 19, pp.
2860-2868, 2010.
[10] Davis, F. D. Perceived usefulness, perceived ease of use, and user
acceptance of information technology. MIS Quarterly 13(3): 319-340,
1989.
[11] Rosenstock, I. Historical origins of the health belief model. Health
Education Monographs. Vol. 2 No. 4, 1974.
[12] Katz, E., Blumler, J. G., & Gurevitch, M. Ulilization of mass
communication by the individual. In J. G. Blumler, & E. Katz (Eds.).
The uses of mass communications: Current perspectives on
gratifications research. Beverly Hills: Sage. pp. 19-32, 1974.
[13] Venkatesh, V. Bala, H. Technology acceptance model 3 and a research
agenda on interventions. Decision Sciences 39(2): pp. 273-315, 2008.
[14] Venkatesh, V.,Morris, M. G., Davis, G. B., Davis, F. D. User
acceptance of information technology: Toward a unified view. MIS
Quarterly 27(3): pp. 425-478, 2003.
[15] Hung, P. W., Johnson, S. B., Kaufman, D. R. & Mendonça, E. A. A
multi-level model of information seeking in the clinical domain. Journal
of Biomedical Informatics, 41, pp. 357-370, 2008.
[16] Stretcher V. J., and Rosenstock I. M. The health belief model. In Health
Behavior and Health Education: Theory, Research, and Practice, 2nd ed.
San Francisco: Jossey-Bass. pp. 41-59, 1997.
[17] Ajzen, I. The theory of planned behavior. Organizational Behavior and
Human Decision Processes, 50, pp. 179-211, 1991.
[18] Yoo, E.-Y. & Robbins, L. S. Understanding middle-aged women's
health information seeking on the web: A theoretical approach. Journal
of the American Society for Information Science and Technology, 59,
pp. 577-590, 2008.
[19] Norris, P. Digital divide: Civic engagement, information poverty and the
internet worldwide. Cambridge, 2001.
[20] Hardiker, N. R. & Grant, M. J. Factors that influence public engagement
with eHealth: A literature review. International Journal of Medical
Informatics, 80, pp. 1-12, 2011.
[21] Griffiths, K.M. Christensen, H. Website quality indicators for
consumers. Journal of Medical Internet Research Vol 7 (5), pp. 1-11,
2005.
[22] Cappel, J. J. & Huang, Z. A usability analysis of company websites. The
Journal of Computer Information Systems, vol 48, no. 1, pp. 117-123,
2007.
[23] Pan, Y. & Zinkhan, G. M. Exploring the impact of online privacy
disclosures on consumer trust. Journal of Retailing, 82, pp. 331-338,
2006.
[24] O-Grady, L. Future directions for depicting credibility in health care
web sites. International Journal of Medical Informatics, 75, pp. 58-65,
2006.
[25] Pak, R., Price, M., and Thatcher, J.B. Age-sensitive design of online
health information: Comparative usability study. Journal of Medical
Internet Research. 11(4): e45, 2009.