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  1. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_7.jsp
    January 01, 2005 - Exhibit 1.7. Expected Primary Payer Exhibit 1.7. Expected Primary Payer Number of Discharges and Percent Distribution by Expected Primary Payer, 2005 Primary Payer Number of Discharges Percent Distribution Standard Errors All Payers 39,163,800 100 765,017 Medicare 14,55…
  2. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_6c.jsp
    January 01, 2005 - Exhibit 2.6. Diabetes Exhibit 2.6. Diabetes Hospital Stays and Discharge Prevalence for All-listed Diabetes Diagnoses by Median Income of Patients' ZIP Code,* 2005 Median Income of Zip Code Total Discharges Standard Errors Discharges per 100,000 Population All incomes 6,516,500 143,4…
  3. hcup-us.ahrq.gov/datainnovations/nw.jsp
    October 01, 2010 - Enhanced State Data for Analysis and Tracking of Comparative Effectiveness Impact An official website of the Department of Health & Human Services Search All AHRQ Websites Careers Contact Us…
  4. hcup-us.ahrq.gov/datainnovations/clinicaldata/AHRQHCUPfinalNov09BDiefenbach.pdf
    November 01, 2009 - We had the scripts error out twice after running for 20 hours due to the amount of data being returned
  5. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_5.jsp
    January 01, 2005 - Exhibit 1.5. Discharge Status Exhibit 1.5. Discharge Status Number and Distribution of Hospital Inpatient Stays by Discharge Status, 2005 Discharge Status Total Number of Discharges Percent Distribution Standard Errors All discharges* 39,163,800 100 765,017 Routine 28,971…
  6. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_5_1A.jsp
    January 01, 2005 - Exhibit 5.1. Uninsured Inpatient Hospital Stays: Admission Source and Discharge Status Exhibit 5.1. Uninsured Inpatient Hospital Stays: Admission Source and Discharge Status Share of Uninsured and Insured Stays Admitted through the Emergency Department, 2005 Admission Source and Discharge Status …
  7. hcup-us.ahrq.gov/db/vars/_prn/nisnote.jsp
    September 01, 2008 - Massachusetts Due to an error in HCUP processing, the procedure verification table for 1988-1992 incorrectly … Due to an error in HCUP processing, the invalid three-digit code was saved in PRn instead of the invalid … An error in HCUP processing caused invalid four-digit codes that ended in non-zeros, as well as zeros
  8. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_8b.jsp
    January 01, 2005 - Exhibit 2.8. Alcoholism Exhibit 2.8. Alcoholism Number and Distribution of Discharges with a Principal Diagnosis of Alcoholism by Expected Payer, 2005 Expected Payer All Discharges Alcohol-related Disorder Discharges Number of discharges All payers 39,163,800 298,000 Medica…
  9. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_7.jsp
    January 01, 2005 - Exhibit 2.7. Pressure Sores Exhibit 2.7. Pressure Sores Number of Discharges for Pressure Sores, 1993-2005 All-listed Diagnoses Number of Discharges Standard Errors Number of Discharges Principal Diagnosis Number of Discharges Principal Diagnosis 1993 281,600 35,800 9,595…
  10. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_11b.jsp
    January 01, 2005 - Exhibit 2.11. Influenza Exhibit 2.11. Influenza Number of Discharges with a Diagnosis of Influenza, 1993-2005   1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Discharges Principal diagnosis 18,800 14,700 13,600 13,300 13,200 20,400 …
  11. hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/hi6.jsp
    July 07, 2016 - Composite Id with Check digit DT Date DTM Date/Time EI Entity Identifier ERL Error … HHIC shall not raise an error due to the presence of a required element, but may raise an error due to … in the element, but shall be able to successfully process the message if the element is omitted (no error … However, HHIC will not generate an application error if it receives the element.
  12. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_2.jsp
    January 01, 2005 - Exhibit 1.2. Inpatient Hospital Stays and Average Length of Stay Exhibit 1.2. Inpatient Hospital Stays and Average Length of Stay Number of Inpatient Hospital Stays and Average Length of Stay, 1993-2005 Year Level Standard Errors Total number of discharges Average length of stay (in days…
  13. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_4_1B.jsp
    January 01, 2005 - Exhibit 4.1 Costs for the Most Frequent Diagnoses Exhibit 4.1 Costs for the Most Frequent Diagnoses Amount and Growth in Inflation-adjusted* Hospitalization Costs for Six of the Most Costly Cardiovascular Conditions,** 1998-2005 Year Costs in Millions Standard Errors in Millions Percent Growth…
  14. hcup-us.ahrq.gov/reports/methods/MS2023-01-NHQDRMethodsReport_508.pdf
    November 21, 2023 - Standard error calculations for the rates were based on the HCUP report entitled Inferences with HCUP … For population counts based on Claritas data, there is no sampling error. … Standard Error Estimates for Weighted Discharge Rates per 100,000 Population Using the 2017 Claritas … Consequently, the standard error of the rate R was calculated as: SER =100,000 * SES / N. … We multiplied this standard error by 1,000. 2.
  15. 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 strongly advises researchers against using the KID to estimate State-specific statistics. Prior to 2012, State is available as a KID data element. However, these KID samples were not designed to yield a representativ…
  16. hcup-us.ahrq.gov/tech_assist/sampledesign/508_compliance/index508_2018.jsp
    January 01, 2018 - Another error is that sometimes new users attempt to produce state-level estimates from the national
  17. hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_6b.jsp
    January 01, 2005 - Exhibit 1.6. Patient Age Exhibit 1.6. Patient Age Discharges per 1,000 US Population by Age Group, 2005 Age Group Total Number of Discharges Standard Errors US Population Discharges per 1,000 Population All Ages* 39,163,800 765,017 296,410,404 132 Age ‹1 4,977,500 …
  18. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2017.jsp
    January 01, 2017 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  19. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2014.jsp
    January 01, 2014 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted
  20. hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2018.jsp
    January 01, 2018 - sampling strategy produces more precise estimates than the previous NIS design by reducing sampling error … The self-weighting design of the new NIS reduces the margin of error for estimates and delivers more … For national-level estimates, the 2012 NIS systematic design reduces the margin of error by 42 to 48 … The systematic design also consistently reduced the margin of error for estimates at the DRG level. … Unbiased estimates of error variance are then obtained by comparing the actual values to the predicted

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