AHRQ Prevention Quality Indicators for calendar year 2015 show observed and expected hospitalization rates for ambulatory care sensitive conditions at the zip code level. Rates were calculated using New York State SPARCS inpatient data and Claritas population information. The dataset includes PQI names, numbers, and risk-adjusted rates per 100,000 people.
Use Cases
- Identify zip codes with high preventable hospitalization rates using Observed Rate Per 100,000 People and Patient Zipcode.
- Compare observed versus expected hospitalization performance using Difference in Rates and Expected Rate Per 100,000 People.
- Analyze specific preventable conditions across geographies using PQI Name, PQI Number, and Patient Zipcode.
- Assess risk-adjusted outcomes for quality benchmarking using Risk Adjusted Rate per 100,000 People and PQI Name.
Strengths
- Data is focused on a specific calendar year (2015) for temporal consistency.
- Includes both raw and risk-adjusted rate calculations (Observed Rate Per 100,000 People, Risk Adjusted Rate per 100,000 People).
- Geographic granularity is provided at the zip code level via the Patient Zipcode column.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the New York State SPARCS source.
- Last updated 2025-04-02 15:00:31; freshness should be verified as the underlying data is from 2015.
Provenance
- Source
- health.data.ny.gov
- Collection Method
- Rates calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data and Claritas population information.
- Time Range
- Calendar Year 2015
- Freshness
- Last updated 2025-04-02 15:00:31.
- Geography
- New York State, United States (implied by SPARCS), at the zip code level.