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1. HCUP National Estimates Tutorial - Accessible Version
   hcup-us.ahrq.gov/tech_assist/nationalestimates/508_course/508course_2023.jsp
   January 01, 2023 - Weighted, it estimates more than 35 million hospitalizations nationally. … estimates of total charge (data element TOTCHG) 1998-1999 DISCWT All national estimates … National estimates of total charge (data element TOTCHG) 1997 DISCWT_U All national estimates … This is a result of how estimates are rounded in HCUPnet. … In some cases, the sum of estimates in HCUPnet for the two ED visit types may differ slightly from estimates

2. Producing National HCUP Estimates - Accessible Version
   hcup-us.ahrq.gov/tech_assist/nationalestimates/508_course/508course_2018.jsp
   January 01, 2018 - To accurately produce discharge-level estimates, such as estimates of the total number of discharges … Regional Estimates Title1 "Produce Regional Estimates of Discharges with DXCCS1=128 (Asthma) from … National estimates of total charge 1998-1999 DISCWT All national estimates 1998 … estimates. … Regional Estimates Title1 'Produce Regional Estimates of Discharges with DXCCS1=123 (Influenza

3. Why the KID should not be used to make State-level estimates
   hcup-us.ahrq.gov/db/nation/kid/kid_statelevelestimates.jsp
   February 01, 2022 - "Can I use older years of the KID that include State identifiers to do State-level estimates?" … AHRQ recommends that researchers employ the SID for State-level estimates. … This further confounds State-specific trends based on State-specific estimates from the KID. … Finally, because the KID was not designed to be representative at the State level, design-based estimates … In summary, KID State-level estimates would be very imprecise at best and biased at worst.

4. MS- 2019-02Appendix (xls file)
   hcup-us.ahrq.gov/reports/methods/2019-02Appendix_v2.xlsx
   January 01, 2019 - Population Estimates Population Estimates Population Estimates Population Estimates Population Estimates … Population Estimates Population Estimates Population Estimates Population Estimates Population Estimates … Population Estimates Population Estimates Population Estimates Population Estimates Population Estimates … Population Estimates Population Estimates Population Estimates Population Estimates Population Estimates … Estimates Population Estimates Population Estimates Population Estimates Population Estimates Sex and

5. Casestudy Qdranalysis04072017 (pdf file)
   hcup-us.ahrq.gov/datainnovations/CaseStudy_QDRanalysis04072017.pdf
   April 07, 2017 - CY estimates … CY estimates … CY estimates … CY estimates … CY estimates

6. MS2019-03 (pdf file)
   hcup-us.ahrq.gov/reports/methods/2019-03.pdf
   January 01, 2019 - element, providing comparisons of 2011 HCUP inpatient discharges and 2011 enrollment or population estimates … Comparison of aligned SID Medicare discharges with ACS Medicare population estimates (Methods Series … Comparison of aligned SID Medicaid discharges with ACS Medicaid population estimates in data year … Comparison of aligned SID privately insured discharges with ACS private insurance population estimates … Comparison of aligned SID uninsured discharges with ACS uninsured population estimates (Methods Series

7. User Guide: An Examination of Expected Payer Coding in HCUP Databases (Updated for 2020 HCUP Data) (pdf file)
   hcup-us.ahrq.gov/reports/methods/MS2022-02-Expected-Payer-Coding.pdf
   December 14, 2022 - element, providing comparisons of 2011 HCUP inpatient discharges and 2011 enrollment or population estimates … Comparison of aligned SID Medicare discharges with ACS Medicare population estimates (Methods Series … Comparison of aligned SID Medicaid discharges with ACS Medicaid population estimates in data year … • CMS provides enrollment estimates for Medicare/Medicaid dual enrollees separate from only Medicare … Comparison of aligned SID privately insured discharges with ACS private insurance population estimates

8. User Guide: 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.pdf
   November 30, 2021 - element, providing comparisons of 2011 HCUP inpatient discharges and 2011 enrollment or population estimates … Comparison of aligned SID Medicare discharges with ACS Medicare population estimates (Methods Series … Comparison of aligned SID Medicaid discharges with ACS Medicaid population estimates in data year … • CMS provides enrollment estimates for Medicare/Medicaid dual enrollees separate from only Medicare … Comparison of aligned SID privately insured discharges with ACS private insurance population estimates

9. ExpectedPayerCoding2018 (pdf file)
   hcup-us.ahrq.gov/reports/methods/2020-01.pdf
   January 01, 2020 - element, providing comparisons of 2011 HCUP inpatient discharges and 2011 enrollment or population estimates … Comparison of aligned SID Medicare discharges with ACS Medicare population estimates (Methods Series … Comparison of aligned SID Medicaid discharges with ACS Medicaid population estimates in data year … • CMS provides enrollment estimates for Medicare/Medicaid dual enrollees separate from only Medicare … Comparison of aligned SID privately insured discharges with ACS private insurance population estimates

10. Why the NIS should not be used to make State-level estimates
    hcup-us.ahrq.gov/db/nation/nis/nis_statelevelestimates.jsp
    January 01, 2016 - "Can I use older years of the NIS that include State identifiers to do State-level estimates?" … AHRQ recommends that researchers employ the SID for State-level estimates. … year of the NIS, which further confounds State-to-State comparisons on the basis of State-specific estimates … This further confounds State-specific trends on the basis of State-specific estimates from the NIS. … Finally, because the NIS was not designed to be representative at the State level, design-based estimates

11. MS2022-03-Appendix (xls file)
    hcup-us.ahrq.gov/reports/methods/MS2022-03-Appendix.xlsx
    December 06, 2022 - 2021 Population Estimates 2020 Population Estimates 2019 Population Estimates 2018 Population Estimates … 2017 Population Estimates 2016 Population Estimates 2015 Population Estimates 2014 Population Estimates … 2013 Population Estimates 2012 Population Estimates 2011 Population Estimates 2010 Population Estimates … 2009 Population Estimates 2008 Population Estimates 2007 Population Estimates 2006 Population Estimates … 2005 Population Estimates 2004 Population Estimates 2003 Population Estimates 2002 Population Estimates

12. Summary (pdf file)
    hcup-us.ahrq.gov/reports/methods/KIDComp1997Final.pdf
    March 16, 2001 - estimates were generally longer than NHDS estimates. … - stay estimates and nearly all the in-hospital mortality estimates. … Such a relationship holds for KID estimates, but not for NHDS estimates. … length-of-stay estimates. … KID estimates were longer than NHDS estimates in most of these differences.

13. Kid 1997 Comparison (pdf file)
    hcup-us.ahrq.gov/db/nation/kid/reports/KID_1997_Comparison.pdf
    January 01, 1997 - estimates were generally longer than NHDS estimates. … - stay estimates and nearly all the in-hospital mortality estimates. … KID estimates were consistent with all NIS estimates: no significant differences were found between estimates … Such a relationship holds for KID estimates, but not for NHDS estimates. … KID estimates were longer than NHDS estimates in most of these differences.

14. Pne Example Code And Output Updated 071118 (pdf file)
    hcup-us.ahrq.gov/tech_assist/nationalestimates/508_course/PNE_Example_Code_and_Output_UPDATED_071118.pdf
    August 20, 2018 - HCUP Online Tutorials 1 National Estimates HEALTHCARE COST AND UTILIZATION PROJECT Agency … Example Code and Output HCUP Online Tutorials 2 National Estimates CODE: Produce National Estimate … ) (example 5) Title1 “Produce Regional Estimates of Discharges with DXCCS1=128 (Asthma) from 2014 … ) (example 6) Produce Regional Estimates of Discharges with DXCCS1=128 (Asthma) from 2014 NIS File … CODE: Produce Regional Estimates of Discharges with DXCCS1=123 (Influenza) from 2014 NEDS File (

15. C:\unzipped\Methods Series Reports to Convert\Comparison_Report_NIS2 1993.wpd (pdf file)
    hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS21993Final.pdf
    April 03, 1997 - NIS estimates of in-hospital mortality rates are higher than the NHDS estimates in all the regions except … Inconsistencies between the NIS estimates and estimates from the NHDS and MedPAR data may be caused by … NIS estimates for White and other race also differ from the NHDS estimates. … The average length of stay estimates from the NIS generally agree with the NHDS estimates for 12 … The NHDS estimates exceed the AHA estimates by 14 percent overall, and are closer to the NIS estimates

16. Appendix A Data Tables (xls file)
    hcup-us.ahrq.gov/reports/methods/MS-2021-04-Appendix.xlsx
    January 01, 2021 - 2020 Population Estimates 2019 Population Estimates 2018 Population Estimates 2017 Population Estimates … 2016 Population Estimates 2015 Population Estimates 2014 Population Estimates 2013 Population Estimates … 2012 Population Estimates 2011 Population Estimates 2010 Population Estimates 2009 Population Estimates … 2008 Population Estimates 2007 Population Estimates 2006 Population Estimates 2005 Population Estimates … 2004 Population Estimates 2003 Population Estimates 2002 Population Estimates 2001 Population Estimates

17. MS2020-02-Appendix (xls file)
    hcup-us.ahrq.gov/reports/methods/2020-02-Appendix.xlsx
    January 01, 2020 - 2019 Population Estimates 2018 Population Estimates 2017 Population Estimates 2016 Population Estimates … 2015 Population Estimates 2014 Population Estimates 2013 Population Estimates 2012 Population Estimates … 2011 Population Estimates 2010 Population Estimates 2009 Population Estimates 2008 Population Estimates … 2007 Population Estimates 2006 Population Estimates 2005 Population Estimates 2004 Population Estimates … 2003 Population Estimates 2002 Population Estimates 2001 Population Estimates 2000 Quartile 1 83,197,451

18. C:\unzipped\Methods Series Reports to Convert\Comparison_Report_NIS4 1995.wpd (pdf file)
    hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS41995Final.pdf
    December 21, 1998 - NIS estimates of in- hospital mortality rates are higher than the NHDS estimates in all the regions except … Inconsistencies between the NIS estimates and estimates from the NHDS data may be caused by a number … For no charge, other, and missing payer, the NIS estimates are lower than the NHDS estimates. … Estimates of in- hospital mortality rates from the NIS also tend to be higher than the NHDS estimates … The NIS in-hospital mortality estimates are higher than the NHDS estimates for nearly every hospital

19. Emergency Department and Inpatient Utilization and Cost for Pregnant Women: Variation by Expected Primary Payer and State of Residence, 2019 (pdf file)
    hcup-us.ahrq.gov/reports/ataglance/HCUPanalysisHospUtilPregnancy.pdf
    December 14, 2021 - In addition, regional estimates are based on hospital region, whereas State-level estimates are based … In addition, regional estimates are based on hospital region, whereas State-level estimates are based … In addition, regional estimates are based on hospital region, whereas State-level estimates are based … In addition, regional estimates are based on hospital region, whereas State-level estimates are based … In addition, regional estimates are based on hospital region, whereas State-level estimates are based

20. Calculating National Inpatient Sample (NIS) Variances for Data Years 2012 and Later (pdf file)
    hcup-us.ahrq.gov/reports/methods/MS2015-09%20Addendum.pdf
    December 10, 2022 - without the use of NOMCAR: The following SAS code produces estimates of the sums, means, and standard … with the use of NOMCAR: The following SAS code produces estimates of the sums, means, and standard … : The following SAS code produces estimates of the sums, means, and standard errors for the number of … The addition on the NOMCAR option to the PROC SURVEYMEANS made no difference in the variance estimates … Table A.4 shows the mean, sum, and the associated variance estimates for the domain of DIABETES=0.