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Total Results: 222 records

Showing results for "good".

  1. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2000_Design_Report.pdf
    January 01, 2000 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good

  2. HCUP Nationwide Inpatient Sample Design Report 2000

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2000_Design_Report.jsp
    January 01, 2000 - recognized that the approach chosen would not be as efficient, the extremely large sample sizes yield good

  3. Patient Safety and Adverse Events, 2011 and 2014 (pdf file)

    hcup-us.ahrq.gov/reports/statbriefs/sb237-Patient-Safety-Adverse-Events-2011-2014.pdf
    January 01, 2014 - were used for comparisons of hospital-level rates for 2011 and 2014 because they had consistently good

  4. Trends in Potentially Preventable Inpatient Hospital Admissions and Emergency Department Visits #195

    hcup-us.ahrq.gov/reports/statbriefs/sb195-Potentially-Preventable-Hospitalizations.jsp
    November 01, 2015 - These are conditions for which good outpatient care can potentially prevent the need for hospitalization

  5. HCUP Nationwide Inpatient Sample Design Report 2002

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2002_Design_Report.jsp
    January 01, 2002 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates

  6. Microsoft Word - CaseforPOAIndicator_final_060806 _2_.doc (pdf file)

    hcup-us.ahrq.gov/reports/methods/2006_1.pdf
    January 01, 2006 - The lower proportion of hospitals with good quality data in this study compared to Houchens and Elixhauser

  7. User Guide: An Examination of Expected Payer Coding in HCUP Databases (Updated for 2020 HCUP Data), Supplements 1-3. (pdf file)

    hcup-us.ahrq.gov/reports/methods/MS2022-02-Expected-Payer-Coding-Supplements.pdf
    December 14, 2022 - 004 2008–2020 N/A N/A Health Maintenance Organization (HMO) (e.g., Group Health, Kaiser Foundation, Good

  8. Supplements 1-3: An Examination of Expected Payer Coding in HCUP Databases (Updated for 2019 HCUP Data) (pdf file)

    hcup-us.ahrq.gov/reports/methods/MS2021-01-Expected-Payer-Coding-Supplements.pdf
    November 30, 2021 - 004 2008–2019 N/A N/A Health Maintenance Organization (HMO) (e.g., Group Health, Kaiser Foundation, Good

  9. C:\unzipped\Methods Series Reports to Convert\Comparison_Report_NIS1 1988-92.wpd (pdf file)

    hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS11988-92Final.pdf
    July 11, 1996 - Nevertheless, these differences do not appear to follow any pattern, and the overall agreement is good … The agreement is good for rural hospitals.

  10. Overview to the HCUP Nationwide Inpatient Sample (NIS), 2001

    hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2001.jsp
    January 01, 2001 - When creating national estimates, it is a good idea to check your estimates against other data sources

  11. Microsoft Word - AF_Report2006_fin.doc (pdf file)

    hcup-us.ahrq.gov/reports/methods/2008_04.pdf
    January 01, 2008 - adjustment factors for Diagnosis Related Groups (DRGs) in 2003 showed generalizability to be quite good

  12. HCUP Nationwide Inpatient Sample Design Report 2003

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2003_Design_Report.jsp
    January 01, 2003 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates

  13. HCUP Frequently Asked Questions

    hcup-us.ahrq.gov/tech_assist/faq.jsp
    October 01, 2024 - Yes, because the NIS spans more than 20 years of data, it is a good tool for longitudinal

  14. INTRODUCTION TO THE HCUP KIDS' INPATIENT DATABASE (KID), 2003

    hcup-us.ahrq.gov/db/nation/kid/kid_2003_introduction_rpt.jsp
    January 01, 2003 - When creating national estimates, it is a good idea to check your estimates against other data sources

  15. HCUP Nationwide Inpatient Sample Design Report 2004

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2004_Design_Report.jsp
    January 01, 2004 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates

  16. Overview to the HCUP Nationwide Inpatient Sample (NIS), 2002

    hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2002.jsp
    January 01, 2002 - When creating national estimates, it is a good idea to check your estimates against other data sources

  17. INTRODUCTION TO THE HCUP NATIONWIDE INPATIENT SAMPLE (NIS), 2005

    hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2005.jsp
    January 01, 2005 - When creating national estimates, it is a good idea to check your estimates against other data sources

  18. INTRODUCTION TO THE HCUP NATIONWIDE INPATIENT SAMPLE (NIS), 2004

    hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2004.jsp
    January 01, 2004 - When creating national estimates, it is a good idea to check your estimates against other data sources

  19. INTRODUCTION TO THE HCUP NATIONWIDE INPATIENT SAMPLE (NIS), 2003

    hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2003_v7.jsp
    January 01, 2003 - When creating national estimates, it is a good idea to check your estimates against other data sources

  20. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)

    hcup-us.ahrq.gov/db/nation/nis/reports/NIS_2004_Design_Report.pdf
    January 01, 2004 - While this approach was admittedly less efficient, the extremely large sample sizes yield good estimates
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