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|Title: ||A Review of Features in Internet Consumer Health Decision-support Tools|
|Authors: ||Schwitzer, Gary|
|Issue Date: ||22-Nov-2002|
|Publisher: ||Gunther Eysenbach; Centre for Global eHealth Innovation, Toronto, Canada|
|Citation: ||Gary Schwitzer. A Review of Features in Internet Consumer Health Decision-support Tools. J Med Internet Res 2002;4(2):e11 <URL: http://www.jmir.org/2002/2/e11/>|
|Abstract: ||[This item is a preserved copy and is not necessarily the most recent version. To view the current item, visit http://www.jmir.org/2002/2/e11/ ]
Over the past decade, health care consumers have begun to benefit from new Web-based communications tools to guide decision making on treatments and tests. Using today's online tools, consumers who have Internet connections can: watch and listen to videos of physicians; watch and hear the stories of other consumers who have faced the same decisions; join an online social support network; receive estimates of their own chances of experiencing various outcomes; and do it all at home.
To review currently-available Internet consumer health decision-support tools.
Five Web sites offering consumer health decision-support tools are analyzed for their use of 4 key Web-enabled features: the presentation of outcomes probability data tailored to the individual user; the use of videotaped patient interviews in the final product to convey the experiences of people who have faced similar diagnoses in the past; the ability to interact with others in a social support network; and the accessibility of the tool to any health care consumers with an Internet connection.
None of the 5 Web sites delivers all 4 target features to all Web users. The reasons for these variations in the use of key Web functionality — features that make the Web distinctive — are not immediately clear.
Consumers trying to make health care decisions may benefit from current Web-based decision-support tools. But, variations in Web developers' use of 4 key Web-enabled features leaves the online decision-support experience less than what it could be. Key research questions are identified that could help in the development of new hybrid patient decision-support tools.|
|Description: ||Reviewer: Evans, R|
|Other Identifiers: ||doi:10.2196/jmir.4.2.e11|
|Rights: ||Copyright (cc) Retained by author(s) under a Creative Commons License: http://creativecommons.org/licenses/by/2.0/|
|Appears in Collections:||Volume 4 (2002)|
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