Risk prediction tools in surgical oncology

Christine V. Kinnier; Elliot A. Asare; Sanjay Mohanty; Jennifer L. Paruch; Ravi Rajaram; Karl Y. Bilimoria

doi:10.1002/jso.23714

Risk prediction tools in surgical oncology

Christine V. Kinnier, Elliot A. Asare, Sanjay Mohanty, Jennifer L. Paruch, Ravi Rajaram, Karl Y. Bilimoria^*

^*Corresponding author for this work

Surgery, Surgical Oncology Division

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	500-508
Number of pages	9
Journal	Journal of surgical oncology
Volume	110
Issue number	5
DOIs	https://doi.org/10.1002/jso.23714
State	Published - Oct 1 2014

Keywords

decision support techniques
health literacy
nomograms
patient-centered care

ASJC Scopus subject areas

Surgery
Oncology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/jso.23714

Cite this

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title = "Risk prediction tools in surgical oncology",

abstract = "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.",

keywords = "decision support techniques, health literacy, nomograms, patient-centered care",

author = "Kinnier, {Christine V.} and Asare, {Elliot A.} and Sanjay Mohanty and Paruch, {Jennifer L.} and Ravi Rajaram and Bilimoria, {Karl Y.}",

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AU - Kinnier, Christine V.

AU - Asare, Elliot A.

AU - Mohanty, Sanjay

AU - Paruch, Jennifer L.

AU - Rajaram, Ravi

AU - Bilimoria, Karl Y.

PY - 2014/10/1

Y1 - 2014/10/1

N2 - 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.

AB - 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.

KW - decision support techniques

KW - health literacy

KW - nomograms

KW - patient-centered care

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Risk prediction tools in surgical oncology

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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