ArticlePatient preference and adherence2017
Patient and oncologist preferences for attributes of treatments in advanced melanoma: a discrete choice experiment.
Article in Patient preference and adherence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Differences between physician and patient preferences for cancer treatments: a systematic review.BMC cancer · 2023Pooled it
- Willingness to Pay for Treatment Attributes in Diffuse Large B-Cell Lymphoma: A Discrete Choice Experiment in Japan.Clinical drug investigation · 2026Article
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- A tailored approach to horizon scanning for cancer medicines.Journal of cancer policy · 2023Article
- Preferences for Adjuvant Immunotherapy in Adults with Resected Stage III Melanoma-A Discrete Choice Experiment.The patient · 2023Article
- Identification of Relevant Attributes for Liver Cancer Therapies (IRALCT): a maximum-difference-scaling analysis.Scientific reports · 2022Review
- Physician Preferences and Shared-Decision Making for the Traditional Chinese Medicine Treatment of Lung Cancer: A Discrete-Choice Experiment Study in China.Patient preference and adherence · 2022Article
- Adjuvant immunotherapy recommendations for stage III melanoma: physician and nurse interviews.BMC cancer · 2021Article
- Patient and Neurologist Preferences in the United States for Relapsing-Remitting Multiple Sclerosis Treatments: Findings from a Discrete Choice Experiment.Patient preference and adherence · 2021Article
- Patient Preferences in Adjuvant and Palliative Treatment of Advanced Melanoma: A Discrete Choice Experiment.Acta dermato-venereologica · 2020Article
- Oncologist and Patient Preferences for Attributes of CDK4/6 Inhibitor Regimens for the Treatment of Advanced/Metastatic HR Positive/HER2 Negative Breast Cancer: Discrete Choice Experiment and Best-Worst Scaling.Patient preference and adherence · 2020Article
- The Value of Hope: Patients' and Physicians' Preferences for Survival in Advanced Non-Small Cell Lung Cancer.Patient preference and adherence · 2020Article
- Gathering Structured Patient Insight to Drive the PRO Strategy in COPD: Patient-Centric Drug Development from Theory to Practice.Advances in therapy · 2020Article
- Patients' preferences for postmenopausal hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer treatments in Japan.Breast cancer (Tokyo, Japan) · 2019Article
- Patient Preferences for Metastatic Hormone-Sensitive Prostate Cancer Treatments: A Discrete Choice Experiment Among Men in Three European Countries.Advances in therapy · 2019Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo examine and compare patient and oncologist preferences for advanced melanoma treatment attributes and to document their trade-offs for benefits with risks. MATERIALS AND
methodsA discrete choice experiment (DCE) was conducted among advanced melanoma patients and oncologists. Qualitative pilot testing was used to inform the DCE design. A series of scenarios asked stakeholders to choose between two hypothetical medications, each with seven attributes: mode of administration (MoA), dosing schedule (DS), median duration of therapy (MDT), objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and grade 3-4 adverse events (AEs). Hierarchical Bayesian logistic regression models were used to determine patients' and oncologists' choice-based preferences, analysis of variance models were used to estimate the relative importance of attributes, and independent
resultsIn total, 200 patients and 226 oncologists completed the study. OS was most important to patients (33%), followed by AEs (29%) and ORR (25%). For oncologists, AEs were most important (49%), followed by OS (34%) and ORR (12%). An improvement from 55% to 75% in 1-year OS was valued similar in magnitude to a 23% decrease (from 55% to 32%) in likelihood of AEs for oncologists.
conclusionPatients valued OS, AEs, and ORR sequentially as the most important attributes in making a treatment decision, whereas oncologists valued AEs most, followed by OS and ORR. In comparison, patients differed significantly from oncologists on the importance of ORR, AEs, and PFS, but were consistent in OS and the rest of attributes.
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