created Jul 10, 2014
updated Jun 02, 2015
The dataset 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, dsrip
- Row Label
- 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
- 3M PPC Software version by year of the data: 2009‐2012 ‐ Version 31 2013 ‐ Version 32 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