Patient Preferences and Willingness-to-Pay for Myasthenia Gravis Therapy in China

A multicenter, cross-sectional survey conducted from March to August 2025 among 909 patients with generalized myasthenia gravis in China. The dataset, authored by Yafang Xu and shared under a CC-BY-4.0 license, contains results from a discrete choice experiment quantifying patient preferences for eight key treatment attributes, including safety, administration route, dosing frequency, and cost.

Use Cases

• Modeling patient preference weights for treatment attributes like safety and administration route based on the discrete choice experiment.
• Estimating willingness-to-pay for specific therapy features, such as reduced risk of adverse drug reactions or faster onset of action.
• Conducting subgroup analyses to compare preferences across demographics like age, disease burden, and income level as described in the results.

Strengths

• Dataset is based on a large-scale survey of 909 patients, providing a substantial sample for analysis.
• Study design employs a discrete choice experiment, a stated-preference method suitable for quantifying trade-offs between treatment attributes.
• Results include detailed subgroup analyses by age, disease burden, and income, as mentioned in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying choice data is unknown, which may limit suitability assessment.
• The dataset is stored as a 152.5 KB DOCX file, which is a very small document format and may not contain the raw, analyzable data.

Provenance

Source

Yafang Xu

Collection Method

Multicenter, cross-sectional survey using a discrete choice experiment.

Time Range

March to August 2025

Freshness

Last updated 2026-05-21 04:36:21; freshness should be verified.

Geography

China