Study type

Study topic

Disease /health condition

Study type

Non-interventional study

Scope of the study

Other

If ‘other’, further details on the scope of the study

Patient preferences

Data collection methods

Primary data collection
Non-interventional study

Non-interventional study design

Cross-sectional
Study drug and medical condition

Medical condition to be studied

Neoplasm

Additional medical condition(s)

Common and rare cancer types
Population studied

Short description of the study population

A survey of patients with cancer in Europe to determine the heterogeneity in treatment preferences.

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Special population of interest

Other

Special population of interest, other

Patients with cancer

Estimated number of subjects

900
Study design details

Main study objective

1)To identify and describe PP relating to benefits and harms of cancer drugs in patients with both common and rare cancer types 2. To identify and describe the PP towards key endpoints used traditionally to assess the efficacy and safety of oncology drugs in patients with both common and rare cancer types

Outcomes

To assess attribute-levels of stated preferences. To determine the extent to which patients’ heterogeneous characteristics are associated with stated preferences.

Data analysis plan

The primary objective is aimed at identifying and describing the cancer PP about benefits and harms of cancer drugs and to understand the trade-offs between factors leading to PP with the main method, DCE. For this objective, we propose using Bayesian multinomial logistic regression (MNL) models reporting odds ratio’s and 95% confidence intervals. Attribute-levels will be estimated relative to a reference level for each attribute. The reference level will be selected based on the attribute-level having the lowest parameter estimate. The analysis of preferences of patients towa
Documents
Study results
English (1.72 MB - PDF)View document