Hospital discharge counts and risk-adjusted rates for Inpatient Quality Indicators (IQIs) developed by the Agency for Healthcare Research and Quality (AHRQ). All measures were calculated using New York's Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning in 2009. The data provides observed, expected, and risk-adjusted rates with 95% confidence intervals for mortality, utilization, and volume measures at the county level.
Use Cases
- Benchmarking county-level hospital performance using Observed Rate, Expected Rate, and Risk Adjusted Rate.
- Analyzing trends in specific medical procedures or conditions over time using IQI Code, Year, and Numerator.
- Identifying geographic disparities in healthcare quality by comparing Risk Adjusted Rate and Upper 95CI RAR across County values.
- Assessing the statistical reliability of quality measures for a county using Denominator, Lower 95CI RAR, and Upper 95CI RAR.
Strengths
- Data is calculated using a standardized methodology from the Agency for Healthcare Research and Quality (AHRQ).
- Includes confidence intervals (Lower 95CI RAR, Upper 95CI RAR) for risk-adjusted rates, supporting statistical interpretation.
- Time series begins in 2009, allowing for longitudinal analysis of quality trends.
Limitations
- Row count is unknown, which may limit suitability assessment for large-scale modeling.
- Data may reflect geographic bias inherent to the New York State SPARCS system.
Provenance
- Source
- health.data.ny.gov
- Collection Method
- Calculated from Statewide Planning and Research Cooperative System (SPARCS) inpatient data and US Census data files from AHRQ.
- Time Range
- Beginning 2009
- Freshness
- Last updated 2025-04-02 14:37:12
- Geography
- New York State, by patient county