created May 07, 2014
updated Apr 25, 2016
The chart shows observed vs. expected Potentially Preventable Readmission rates by hospital for Medicaid enrollees in 2014.
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/health_care/medicaid/, or go to the "About" tab.
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- quality-safety-costs, strategic initiatives, medicaid, ppr, potentially preventable readmission, dsrip, inpatient
- Row Count
- Data Provided By
- New York State Department of Health
- Source Link
- Office of Quality and Patient Safety
- Time Period
- Rates are based on hospital inpatient discharges for each calendar year starting with 2011.
- Posting Frequency
- Data Frequency
- Dataset Owner
- Bureau of Health Informatics
- Observed Rate= observed PPR chains/total number of “at risk” inpatient events *100 Expected Rate= total number of expected PPR chains/total number of “at risk” admissions *100 Risk Adjusted PPR Rate= Hospital observed PPR rate/ Hospital expected PPR rate*statewide PPR rate
- These datasets use version 30 of the PPR software. Rates were adjusted using age group, mental health status, severity of illness (SOI), and APR-DRG.
- 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.
- Health, Department of