The full text of this article
Online self-disclosure: model for the use of internet-based technologies in collecting sensitive health information
by Lotus E. Kam, William G. Chismar
International Journal of Healthcare Technology and Management (IJHTM), Vol. 7, No. 3/4, 2006
Abstract: Patient information is often incomplete or inaccurate, undermining patient care. Information technologies for interviewing may motivate individuals to report higher levels of stigmatised or illicit activities and lower levels of normative behaviour in comparison to traditional interviewing methods. The role of internet-based technologies for gathering more accurate information, however, remains unproven and is often contradictory because the motivating factors are infrequently addressed. We develop a self-disclosure model based on a synthesis of previous studies on self-disclosure of personal health information. Our review of the literature suggested that self-disclosure is affected by three motivating factors: patient perceptions of privacy, context sensitivity, and the information value of content and feedback. Internet-based technologies can influence these motivating factors and may improve the quality of patient information by increasing the self-disclosure of health-risk behaviours.
is only available to individual subscribers or to users at subscribing institutions.
Go to Inderscience Online Journals to access the Full Text of this article.
Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.
Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Healthcare Technology and Management (IJHTM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable).
See our Orders page to subscribe.
If you still need assistance, please email email@example.com