Open AccessStated Preferences in Non-Small-Cell Lung Cancer: A Discrete Choice Experiment
Author(s) -
Isandra Meirelles,
Carlos Alberto da Silva Magliano
Publication year - 2021
Publication title -
patient preference and adherence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.885
H-Index - 48
ISSN - 1177-889X
DOI - 10.2147/ppa.s302394
Subject(s) - medicine , rash , mixed logit , confidence interval , preference , lung cancer , adverse effect , logistic regression , oncology , statistics , mathematics
The different alternatives for non-small-cell lung cancer (NSCLC) treatment can increase survival but cause important adverse events. Therefore, patients' preference can play a critical role in decision-making. Among stated preference methods, discrete choice experiment (DCE) is the most applied in health care to elicit preferences. This research aims to elicit patients' preference evaluating the trade-off between the risks (adverse events) and benefits (survival) of systemic treatments, from the perspective of Brazilian patients with locally advanced, metastatic or recurrent NSCLC.