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A Review of Features in Internet Consumer Health Decision-support Tools

BACKGROUND: 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 he...

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Detalles Bibliográficos
Autor principal: Schwitzer, Gary
Formato: Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1761935/
https://www.ncbi.nlm.nih.gov/pubmed/12554558
http://dx.doi.org/10.2196/jmir.4.2.e11
Descripción
Sumario:BACKGROUND: 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. OBJECTIVE: To review currently-available Internet consumer health decision-support tools. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.