TY - GEN
T1 - Building a patient oriented treatment decision system for liver cancer
AU - Chen, Cheng Mei
AU - Hsu, Chien-Yeh
AU - Bai, Chyi Huey
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - BCLC
KW - Decision support
KW - Liver cancer
KW - MAUT
KW - Treatment
UR - http://www.scopus.com/inward/record.url?scp=84874368400&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84874368400&partnerID=8YFLogxK
U2 - 10.1109/GCIS.2012.11
DO - 10.1109/GCIS.2012.11
M3 - Conference contribution
AN - SCOPUS:84874368400
SN - 9780769548609
T3 - Proceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012
SP - 413
EP - 418
BT - Proceedings - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012
T2 - 2012 3rd Global Congress on Intelligent Systems, GCIS 2012
Y2 - 6 November 2012 through 8 November 2012
ER -