Profile Picture fmogul

created Sep 26 2016

updated May 20 2019

Description

The dataset shows each of the 65 individual Potentially Preventable Complication (PPC) measures, providing observed and risk-adjusted rates for all payer discharges by hospital and statewide, beginning in 2013. To view a statistical brief on PPCs, visit: https://www.health.ny.gov/statistics/sparcs/sb/docs/sb1.pdf
Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are defined as harmful events or negative outcomes that develop or occur during hospitalization and may result from processes of care and treatment rather than from natural progression of the underlying illness.
The PPCs were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data. For more information about SPARCS data, visit: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional information.

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Category
Health
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Public
Tags
quality, safety, strategic initiatives, sparcs, ppc, potentially preventable complication, efficiency, all payer, inpatient, dsrip
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 Summary
Time Period
Rates are based on hospital inpatient data for each calendar year starting with 2013.
Posting Frequency
Annually
Dataset Owner
Bureau of Healthcare Analytics
Coverage
Statewide
Granularity
Hospital
Units
Observed Rate= PPC discharges / at risk discharges *10,000 Risk Adjusted PPC Rate= observed PPC rate/ expected PPC rate*statewide PPC rate Lower Confidence= exp(log(observed ppc count /expected ppc count)-1.96*(1/sqrt(observed ppc count)))*statewide rate Upper Confidence = exp(log(observed ppc count /expected ppc count)+1.96*(1/sqrt(observed ppc count/expected ppc count)))*statewide
Organization
Office of Quality and Patient Safety
Data Frequency
Annually
Notes
Notes
3M PPC Software version by year of the data: 2013- Version 32 2014- 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).
Disclaimers
Limitations
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.
Dataset Information
Agency
Health, Department of
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