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Rate of Preventable Hospital Admissions (5-year estimate) in Pulaski County, IN (DISCONTINUED) (DMPCRATE018131)

Observations

2015: 70.37000
Updated: Jul 3, 2018 2:12 PM CDT
2015:  70.37000  
2014:  56.92500  
2013:  63.34100  
2012:  79.89300  
2011:  78.00700  

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Bar 1 - Rate of Preventable Hospital Admissions in Pulaski County, IN Vintage: 2017-02-03
Bar 1
(a) Rate of Preventable Hospital Admissions in Pulaski County, IN, Rate, Not Seasonally Adjusted (DMPCRATE018131)
The Dartmouth Atlas of Healthcare calculates preventable hospital admissions by considering the discharges for ambulatory care sensitive conditions per 1,000 medicare enrollees. See http://www.dartmouthatlas.org/downloads/reports/Primary_care_report_090910.pdf for more information.

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    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - Rate of Preventable Hospital Admissions in Pulaski County, IN Vintage: 2017-02-03
    Bar 2
    (a) Rate of Preventable Hospital Admissions (5-year estimate) in Pulaski County, IN (DISCONTINUED), Rate, Not Seasonally Adjusted (DMPCRATE018131)
    The Dartmouth Atlas of Healthcare calculates preventable hospital admissions by considering the discharges for ambulatory care-sensitive conditions from short-stay acute care hospitals per 1,000 medicare enrollees. This is measured as a 5-year average and is adjusted for age, sex, and race. For more information, see Regional and Racial Variation in Primary Care and the Quality of Care among Medicare Beneficiaries (2010) (https://www.dartmouthatlas.org/downloads/reports/Primary_care_report_090910.pdf).

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Rate of Preventable Hospital Admissions in Pulaski County, IN Vintage: 2017-02-03
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      Rate of Preventable Hospital Admissions (5-year estimate) in Pulaski County, IN (DISCONTINUED) Vintage: 2018-07-03
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      Notes

      Title Release Dates
      Rate of Preventable Hospital Admissions in Pulaski County, IN 2017-02-03 2018-07-02
      Rate of Preventable Hospital Admissions (5-year estimate) in Pulaski County, IN (DISCONTINUED) 2018-07-03 2018-07-03
       
      Source    
      Dartmouth Atlas of Healthcare 2017-02-03 2018-07-03
       
      Release    
      Preventable Hospital Admissions 2017-02-03 2018-07-03
       
      Units    
      Rate 2017-02-03 2018-07-03
       
      Frequency    
      Annual 2017-02-03 2018-07-03
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2017-02-03 2018-07-03
       
      Notes    
      The Dartmouth Atlas of Healthcare calculates preventable hospital admissions by considering the discharges for ambulatory care sensitive conditions per 1,000 medicare enrollees.

      See http://www.dartmouthatlas.org/downloads/reports/Primary_care_report_090910.pdf for more information.

      		2017-02-03 2018-07-02
      The Dartmouth Atlas of Healthcare calculates preventable hospital admissions by considering the discharges for ambulatory care-sensitive conditions from short-stay acute care hospitals per 1,000 medicare enrollees. This is measured as a 5-year average and is adjusted for age, sex, and race.

      For more information, see Regional and Racial Variation in Primary Care and the Quality of Care among Medicare Beneficiaries (2010) (https://www.dartmouthatlas.org/downloads/reports/Primary_care_report_090910.pdf).

      		2018-07-03 2018-07-03

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      Pulaski County, IN Preventable Admissions Hospitals Indiana Discontinued American Community Survey 5-Year Rate County or County Equivalent Annual Public Domain: Citation Requested Not Seasonally Adjusted United States of America

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