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Therapy preferences of patients with lung and colon cancer: a discrete choice experiment

Authors Schmidt K, Damm K, Vogel A, Golpon H, Manns MP, Welte T, Graf von der Schulenburg JM

Received 5 April 2017

Accepted for publication 10 July 2017

Published 26 September 2017 Volume 2017:11 Pages 1647—1656

DOI https://doi.org/10.2147/PPA.S138863

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Amy Norman

Peer reviewer comments 3

Editor who approved publication: Dr Johnny Chen

Katharina Schmidt,1 Kathrin Damm,1 Arndt Vogel,2 Heiko Golpon,3,4 Michael P Manns,2 Tobias Welte,3,4 J-Matthias Graf von der Schulenburg1,4

1Leibniz University of Hannover, Center for Health Economics Research (CHERH), Hannover, Germany; 2Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany; 3Department of Pneumology, Hannover Medical School, Hannover, Germany; 4Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany

Objectives: There is increasing interest in studies that examine patient preferences to measure health-related outcomes. Understanding patients’ preferences can improve the treatment process and is particularly relevant for oncology. In this study, we aimed to identify the subgroup-specific treatment preferences of German patients with lung cancer (LC) or colorectal cancer (CRC).
Methods: Six discrete choice experiment (DCE) attributes were established on the basis of a systematic literature review and qualitative interviews. The DCE analyses comprised generalized linear mixed-effects model and latent class mixed logit model.
Results: The study cohort comprised 310 patients (194 with LC, 108 with CRC, 8 with both types of cancer) with a median age of 63 (SD =10.66) years. The generalized linear mixed-effects model showed a significant (P<0.05) degree of association for all of the tested attributes. “Strongly increased life expectancy” was the attribute given the greatest weight by all patient groups. Using latent class mixed logit model analysis, we identified three classes of patients. Patients who were better informed tended to prefer a more balanced relationship between length and health-related quality of life (HRQoL) than those who were less informed. Class 2 (LC patients with low HRQoL who had undergone surgery) gave a very strong weighting to increased length of life. We deduced from Class 3 patients that those with a relatively good life expectancy (CRC compared with LC) gave a greater weight to moderate effects on HRQoL than to a longer life.
Conclusion: Overall survival was the most important attribute of therapy for patients with LC or CRC. Differences in treatment preferences between subgroups should be considered in regard to treatment and development of guidelines. Patients’ preferences were not affected by sex or age, but were affected by the cancer type, HRQoL, surgery status, and the main source of information on the disease.

Keywords: patient preferences, lung cancer, colorectal cancer, Germany, latent class model, multi-criteria decision making
 

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