McWilliams JM et al. published a study titled 'Use Of Patient Health Survey Data For Risk Adjustment To Limit Distortionary Coding Incentives In Medicare' in Health Affairs in January 2025. The associated dataset likely contains patient health survey data used for risk adjustment modeling in Medicare. The data was uploaded to Dataverse by author Michael McWilliams and last updated in June 2026.
Use Cases
- Modeling healthcare risk adjustment based on patient-reported health status.
- Analyzing the impact of survey data on mitigating coding incentives in Medicare.
- Evaluating the relationship between patient health surveys and payment model distortions.
Strengths
- Dataset is associated with a peer-reviewed publication in Health Affairs (2025).
- The study focuses on a specific policy application: limiting distortionary coding incentives in Medicare.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- McWilliams, Michael (HCP P01)
- Collection Method
- Likely contains patient health survey data, as referenced in the study title.
- Freshness
- Last updated 2026-06-10 16:27:11; freshness should be verified.