Consumers' disease information-seeking behaviour on the Internet in Korea.

AIM AND OBJECTIVES This study was conducted to explain the relationships of the factors affecting consumers' disease information-seeking behaviour on the Internet in Korea. BACKGROUND Similar to other countries, Korea is facing an increasing use of Internet as a resource of health information. With the paradigm shifts towards consumer-centred health service, it is expected that more health care consumers will use the Internet actively in the future. DESIGN A survey was conducted using a self-selected convenience sample. METHODS A conceptual model was derived by extending technology acceptance model and tested via structural equation modelling. RESULTS The overall goodness of fit of the conceptual model was acceptable. Consumers' health consciousness, perceived health risk and Internet health information use efficacy were found to influence consumers' beliefs, attitude and intention of use disease information on the Internet. But Internet health information use efficacy did not significantly influence perceived usefulness. It was also identified that consumers' perceived credibility of the information in the websites was the main determinant in forming of attitude towards disease information on the Internet. CONCLUSIONS Technology acceptance model has been extended and examined successfully in explaining consumers' disease information-seeking behaviour on the Internet. It was found that consumers' cognitive and affective characteristics, determined as initiators in health-related behaviour, also impacted consumers' disease information-seeking behaviour on the Internet. RELEVANCE TO CLINICAL PRACTICE These findings may be used to help nurses to predict and identify the factors affecting individual's use of disease information on the Internet. Based on this knowledge, nurses will be able to develop nursing intervention programmes for the patients' health management.

[1]  I. Rosenstock,et al.  The Health Belief Model and preventive health health behavior , 1974 .

[2]  Rukhsana Ahmed,et al.  The effect of source credibility on consumers' perceptions of the quality of health information on the Internet , 2006, Medical informatics and the Internet in medicine.

[3]  David L. Mothersbaugh,et al.  Consumer Knowledge Assessment , 1994 .

[4]  R. J. Cline,et al.  Consumer health information seeking on the Internet: the state of the art. , 2001, Health education research.

[5]  Lee Rainie,et al.  The online health care revolution: how the web helps americans take better care of themselves , 2000 .

[6]  Alex Broom,et al.  The role of the Internet in cancer patients' engagement with complementary and alternative treatments , 2008, Health.

[7]  S. Cotten,et al.  Characteristics of online and offline health information seekers and factors that discriminate between them. , 2004, Social science & medicine.

[8]  Sei-Ching Joanna Sin,et al.  Perception and Selection of Information Sources by Undergraduate Students: Effects of Avoidant Style, Confidence, and Personal Control in Problem-Solving , 2007 .

[9]  C. W. Park,et al.  Familiarity and Its Impact on Consumer Decision Biases and Heuristics , 1981 .

[10]  Alistair G. Sutcliffe,et al.  Empirical studies of end-user information searching , 2000, J. Am. Soc. Inf. Sci..

[11]  M. Brucks The Effects of Product Class Knowledge on Information Search Behavior , 1985 .

[12]  I. Rosenstock The Health Belief Model and Preventive Health Behavior , 1974 .

[13]  Jay M Bernhardt,et al.  Perceived Barriers to Internet-Based Health Communication on Human Genetics , 2002, Journal of health communication.

[14]  L. Baker,et al.  Internet use and stigmatized illness. , 2005, Social science & medicine.

[15]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[16]  Don Fallis,et al.  Research Paper: Indicators of Accuracy of Consumer Health Information on the Internet: A Study of Indicators Relating to Information for Managing Fever in Children in the Home , 2002, J. Am. Medical Informatics Assoc..

[17]  Christian Köhler,et al.  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 , 2002, BMJ : British Medical Journal.

[18]  C. Braden,et al.  Utility of health belief model as a guide for explaining or predicting breast cancer screening behaviours. , 2001, Journal of advanced nursing.

[19]  Consumer use of the internet for medicines information , 2004 .

[20]  Ron D. Appel,et al.  The Health On the Net Code of Conduct for medical and health Web sites , 1998, MedInfo.

[21]  Mark D. West,et al.  Validating a Scale for the Measurement of Credibility: A Covariance Structure Modeling Approach , 1994 .

[22]  R. Blendon,et al.  Health information, the Internet, and the digital divide. , 2000, Health affairs.

[23]  J. Romeder,et al.  Using the Internet to support self-care. , 1998, The Canadian nurse.

[24]  Louise M. Hassan,et al.  The role of health consciousness, food safety concern and ethical identity on attitudes and intentions towards organic food , 2008 .

[25]  L. Siu,et al.  Impact of the media and the internet on oncology: survey of cancer patients and oncologists in Canada. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[26]  Christian Homburg,et al.  Personal characteristics as moderators of the relationship between customer satisfaction and loyalty—an empirical analysis , 2001 .

[27]  Gary L. Kreps,et al.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey. , 2005, Archives of internal medicine.

[28]  D. Tolson,et al.  An exploration of the smoking-related health beliefs of older people with chronic obstructive pulmonary disease. , 2007, Journal of clinical nursing.

[29]  C Boyer,et al.  The Health On the Net Code of Conduct for medical and health Websites , 1998, Comput. Biol. Medicine.

[30]  Peter R. Harris,et al.  How do patients evaluate and make use of online health information? , 2007, Social science & medicine.

[31]  Robin L. Wakefield,et al.  Mobile computing: a user study on hedonic/utilitarian mobile device usage , 2006, Eur. J. Inf. Syst..

[32]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[33]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[34]  Donna L. Hoffman,et al.  Modeling the Structure of the Flow Experience Among Web Users , 2000 .

[35]  S. Kalichman,et al.  Health information on the Internet and people living with HIV/AIDS: information evaluation and coping styles. , 2006, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[36]  J. Ormrod Educational Psychology : Developing Learners , 1997 .

[37]  Carol Collier Kuhlthau,et al.  A Principle of Uncertainty for Information seeking , 1993, J. Documentation.

[38]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[39]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[40]  M. Mishel Uncertainty in Chronic Illness , 1999, Annual Review of Nursing Research.

[41]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..