DocumentCode
593173
Title
Building a Patient Oriented Treatment Decision System for Liver Cancer
Author
Cheng-Mei Chen ; Chien-Yeh Hsu ; Chyi-Huey Bai
Author_Institution
Grad. Inst. of Med. Inf., Taipei Med. Univ., Taipei, Taiwan
fYear
2012
fDate
6-8 Nov. 2012
Firstpage
413
Lastpage
418
Abstract
The aim of this study is to establish a decision system to assist liver cancer patients to choose treatments, and explore whether patients´ treatment preferences were concordant with their physicians´ recommendations. We analyzed the patients´ considerations involved in the evaluation of treatment and combined these considerations with Barcelona Clinic Liver Cancer (BCLC) clinical guidelines to design the surveys and adopted Multi-Attribute Utility Theory (MAUT) to establish a decision model for treatment selections. Without intervening the clinical processes, we interviewed 53 liver cancer patients(and their families) using this decision system to choose preferred treatments. The results showed: (1) There was a difference between liver cancer patients´ treatment preferences and their physicians´ recommendations, (2) Liver cancer patients with advanced stage, still prefer active treatment, (3) The most concerns on treatments were cure rate, survival rate and self-care ability. Instead of only following physicians´ recommendations, this system assist liver cancer patients to evaluate treatment using various factors(considerations) including physiological, psychological and social support. For oncologists, we suggest the psychological processes of patients are taken into consideration, and this study provide an example of framework on cancer care interventions and expect to improve the care of liver cancer population in the future.
Keywords
cancer; decision support systems; liver; patient treatment; BCLC; Barcelona Clinic Liver Cancer; MAUT; liver cancer; multi-attribute utility theory; oncologists; patient oriented treatment decision system; physicians recommendations; physiological support; psychological support; social support; Cancer; Diseases; Educational institutions; Interviews; Liver; Psychology; BCLC; MAUT; decision support; liver cancer; treatment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4673-3072-5
Type
conf
DOI
10.1109/GCIS.2012.11
Filename
6449566
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