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Risk prediction tools in surgical oncology
Author(s) -
Kinnier Christine V.,
Asare Elliot A.,
Mohanty Sanjay,
Paruch Jennifer L.,
Rajaram Ravi,
Bilimoria Karl Y.
Publication year - 2014
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.23714
Subject(s) - medicine , decision aids , usability , transparency (behavior) , surgical oncology , risk assessment , health care , intensive care medicine , oncology , alternative medicine , pathology , computer security , human–computer interaction , computer science , political science , law , economics , economic growth
Healthcare has increasingly focused on patient engagement and shared decision‐making. Decision aids can promote engagement and shared decision making by providing patients and their providers with care options and outcomes. This article discusses decision aids for surgical oncology patients. Topics include: short‐term risk prediction following surgery, long‐term risk prediction of survival and recurrence, the combination of short‐ and long‐term risk prediction to help guide treatment choice, and decision aid usability, transparency, and accessibility. J. Surg. Oncol. 2014 110:500–508 . © 2014 Wiley Periodicals, Inc.