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All Payer Potentially Preventable Emergency Visit (PPV) Rates by Patient County (SPARCS) : Beginning 2011 Chart

This is a chart based on All Payer Potentially Preventable Emergency Visit (PPV) Rates by Patient County (SPARCS) : Beginning 2011.

Row numberDischarge YearPatient County NameObserved Rate Per 100 PeopleExpected Rate Per 100 PeopleRisk Adjusted Rate Per 100 PeopleDifference in Rates
12011Albany24.2021.5726.342.63
22012Albany16.4622.0617.56-5.60
32011Allegany11.0718.1614.31-7.09
42012Allegany5.8817.967.70-12.08
52011Bronx41.0131.6230.449.39
62012Bronx41.2432.0030.329.23
72011Broome26.2719.2831.976.98
82012Broome26.1119.9430.816.16
92011Cattaraugus24.7819.5829.715.20
102012Cattaraugus7.0220.518.05-13.49
112011Cayuga21.6518.4627.543.20
122012Cayuga23.3218.9728.934.35
132011Chautauqua22.5918.7328.303.85
142012Chautauqua22.5919.2727.593.32
152011Chemung40.6319.4149.1421.22
162012Chemung40.1420.2546.6419.89
172011Chenango37.7417.2751.2920.47
182012Chenango37.6317.4050.9020.23
192011Clinton34.4518.6243.4415.84
202012Clinton28.8118.9935.709.82
212011Columbia26.4318.3733.768.06
222012Columbia23.8418.9329.644.91
232011Cortland36.0218.7845.0117.23
242012Cortland40.3118.8250.4121.49
252011Delaware41.9617.7355.5624.24
262012Delaware33.2517.7444.1015.51
272011Dutchess21.4920.9724.050.52
282012Dutchess20.7721.4522.78-0.68
292011Erie23.6321.5225.772.11
302012Erie24.4521.7526.462.70
312011Essex29.2817.8738.4611.41
322012Essex29.3617.8938.6211.47
332011Franklin27.1423.1727.503.98
342012Franklin13.0025.7611.88-12.76
352011Fulton10.0017.7013.26-7.71
362012Fulton10.8618.0014.20-7.14
372011Genesee25.5618.5232.387.03
382012Genesee24.0019.3429.204.66
392011Greene18.0118.9222.34-0.91
402012Greene17.5319.2921.39-1.76
412011Hamilton7.1416.6110.09-9.47
422012Hamilton8.2716.7611.62-8.48
432011Herkimer22.9317.5630.655.37
442012Herkimer23.3017.6431.085.66
452011Jefferson36.9020.6841.8816.22
462012Jefferson36.7620.9241.3615.84
472011Kings26.0629.1520.98-3.09
482012Kings26.4527.8922.32-1.44
492011Lewis29.9817.4240.3912.56
502012Lewis22.6617.1431.125.52

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Open Data NY - DOH Open Data NY - DOH

created Jun 09, 2014

updated Mar 11, 2015

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Description

The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer beneficiaries by patient county and patient zip code beginning in 2011. The Potentially Preventable Visits (PPV), obtained from software created by 3M Health Information Systems, are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up. The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information. The observed, expected and risk adjusted rates for PPV are presented by either resident county (including a statewide total) or resident zip code (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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Category
Health
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Tags
quality-safety-costs, strategic initiatives, sparcs, ppv, potentially preventable visits, efficiency, all payer, outpatient, emergency
Row Count
124
Licensing and Attribution
Data Provided By
New York State Department of Health
Source Link
http://www.health.ny.gov/statistics/sparcs/
Dataset Summary
Organization
Office of Quality and Patient Safety
Time Period
Rates are based on hospital inpatient and outpatient data and county or zip code population for each calendar year beginning with 2011
Posting Frequency
Annually
Data Frequency
Annually
Dataset Owner
Bureau of Health Informatics
Coverage
Statewide
Granularity
County
Units
1) Rates are based on hospital inpatient and outpatient data and county or zip code population for each calendar year beginning with 2011
Notes
Notes
These datasets use version 1.2 of the Population Focused Preventables (PFP) software. To calculate rates, New York State Mediaid county or zip code population was used in the denominator. Rates were adjusted using age group, gender and race/ethnicity.
Disclaimers
Limitations
Data that did not have an accurate New York State zip code and county were excluded from the analysis datasets. Medicaid data contains emergency visits to an emergency department, ambulatory surgery center and urgent care centers.
Dataset Information
Agency
Health, Department of

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