Demonstrates a new method using administrative claims data for patient experience surveys, suggesting improvements in sampling accuracy.
Evidence-based policymaking increasingly demands integrating real-world data with patient perspectives. However, a methodological gap exists: administrative claims data provide comprehensive coverage but lack subjective insights, whereas patient experience surveys frequently experience selection bias owing to the lack of reliable sampling frames. This study introduces Claims-Based Enumeration Sampling (CBES), a methodology utilizing administrative claims data as a sampling frame to substitute for clinical registries.
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Shimada et al. (2026) studied this question.
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