Description
The charts shows observed vs. expected Potentially Preventable Readmission rates by hospital for all payer beneficaries.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.
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Meta
- Category
- Health
- Permissions
- Public
- Tags
- quality-safety-costs, strategic initiatives, sparcs, ppr, potentially preventable readmission, efficiency, all payer, inpatient
- SODA2 Only
- Yes
Licensing and Attribution
- Data Provided By
- New York State Department of Health
- Source Link
- http://www.health.ny.gov/statistics/sparcs/
Dataset Information
- Agency
- Health, Department of
Dataset Summary
- Time Period
- Rates are based on hospital inpatient discharges for each calendar year beginning in 2009.
- Dataset Owner
- Bureau of Health Care Analytics
- Coverage
- Statewide
- Granularity
- Hospital
- Units
- 1) Observed Rate= observed PPR chains/total number of “at risk” inpatient events *100 2) Expected Rate= total number of expected PPR chains/total number of “at risk” admissions *100 Risk 3) Adjusted PPR Rate= Hospital observed PPR rate/ Hospital expected PPR rate*statewide PPR rate
- Organization
- Office of Quality and Patient Safety
- Data Frequency
- Annually
Disclaimers
- Limitations
- These are only inpatient hospital discharges from Article 28 facilities. The data is analyzed annually, so if a readmission took place in January of the next year, it is not counted.
Notes
- Notes
- 3M PPR software version by year of the data: 2009 – 2012 – Version 30.0; 2013 – Version 30.1; 2014 – Version 31.0. Rates were adjusted using age group, mental health status, severity of illness (SOI), and APR‐DR
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