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Patient centered decision making: Use of conjoint analysis to determine risk-benefit trade-offs for preference sensitive treatment choices.

Authors :
Wilson, Leslie
Loucks, Aimee
Bui, Christine
Gipson, Greg
Lixian Zhong
Schwartzburg, Amy
Crabtree, Elizabeth
Goodin, Douglas
Waubant, Emmanuelle
McCulloch, Charles
Source :
Journal of the Neurological Sciences. Sep2014, Vol. 344 Issue 1/2, p80-87. 8p.
Publication Year :
2014

Abstract

Understanding patient preferences facilitates shared decision-making and focuses on patient-centered outcomes. Little is known about relapsing-remitting multiple sclerosis (RRMS) patient preferences for disease modifying therapies (DMTs). We use choice based conjoint (CBC) analysis to calculate patient preferences for risk/benefit trade-offs for hypothetical DMTs. Methods Patients with RRMS were surveyed between 2012 and 2013. Our CBC survey mimicked the decision-making process and trade-offs of patients choosing DMTs, based on all possible DMT attributes. Mixed-effects logistic regression analyzed preferences. We estimated maximum acceptable risk trade-offs for various DMT benefits. Results Severe side-effect risks had the biggest impact on patient preference with a 1% risk, decreasing patient preference five-fold compared to no risk. (OR = 0.22, p < 0.001). Symptom improvement was the most preferred benefit (OR = 3.68, p < 0.001), followed by prevention of progression of 10 years (OR = 2.4, p < 0.001). Daily oral administration had the third highest DMT preference rating (OR = 2.08, p < 0.001). Patients were willing to accept 0.08% severe risk for a year delayed relapse, and 0.22% for 4 vs 2 year prevented progression. Conclusion We provided patient preferences and risk-benefit trade-offs for attributes of all available DMTs. Evaluation of patient preferences is a key step in shared decision making and may significantly impact early drug initiation and compliance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0022510X
Volume :
344
Issue :
1/2
Database :
Academic Search Index
Journal :
Journal of the Neurological Sciences
Publication Type :
Academic Journal
Accession number :
97604841
Full Text :
https://doi.org/10.1016/j.jns.2014.06.030