created Jul 21, 2014
updated Jun 02, 2015
This chart shows risk adjusted rates per 10,000 discharges of Potentially Preventable Complications (PPC) for all payer beneficiaries by hospital for 2012.
The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009.
The Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are harmful events or negative outcomes that develop after hospital admission and may result from processes of care and treatment rather than from natural progression of the underlying illness and are therefore potentially preventable.
The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data.
The observed, expected and risk adjusted rates for PPC are presented by hospital (including a statewide total). For more information, check out:
http://www.health.ny.gov/statistics/sparcs/ or go to the "About" tab.
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- quality-safety-costs, strategic initiatives, sparcs, ppc, potentially preventable complication, efficiency, all payer, inpatient
- Row Count
- Data Provided By
- Office of Quality and Patient Safety
- Source Link
- New York State Department of Health
- Time Period
- Rates are based on hospital inpatient data for each calendar year beginning with 2009.
- Posting Frequency
- Data Frequency
- Dataset Owner
- Bureau of Health Informatics
- 1)Observed Rate= PPC Discharges / At Risk Discharges *10,000 2) Expected Rate= Expected PPC Discharges / At Risk Discharges *10,000 3) Risk Adjusted PPC Rate= observed PPC rate/ expected PPC rate*statewide PPC rate 4) Difference in Rates=Observed Discharges - Expected Discharges
- These datasets use version 31 of the Potentially Preventable Complication (PPC) software. To calculate rates, discharges at risk for PPC assignment were used as the denominator. Rates were adjusted using APR-DRG and severity of illness (SOI).
- Hospitals that did not have accurate present on admission (POA) variable reporting, as determined by POA validation testing, had all their discharges excluded from the analysis dataset.
- Health, Department of