Derek Ouyang's dataset provides percentages of patients categorized into concordant, discordant, and non-reporting groups. The categorization is based on patient age, sex, and tiers of the Social Vulnerability Index (SVI) and Rural-Urban Commuting Area (RUCA) codes derived from patient addresses. The data was last updated on March 17, 2026, and is shared under a CC-BY-4.0 license.
Use Cases
- Analyzing disparities in patient data reporting based on social vulnerability tiers mentioned in the description.
- Investigating correlations between rural-urban classification and patient group concordance.
- Modeling demographic factors (age and sex) associated with discordant or non-reporting patient records.
Strengths
- Data is structured in a 5.5 KB XLS file, suggesting a compact and focused analysis.
- Includes analysis based on established indices (SVI and RUCA) for social and geographic context.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Derek Ouyang via figshare.
- Collection Method
- Likely derived from patient addresses and administrative or electronic health records.
- Time Range
- null
- Freshness
- Last updated 2026-03-17 17:23:47; freshness should be verified.
- Geography
- null