-
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…
-
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…
-
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…
-
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
-
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…
-
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
…
-
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
-
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…
-
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…
-
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 …
-
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.
-
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…
-
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…
-
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.
-
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…
-
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
-
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
…
-
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
-
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
-
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