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hcup-us.ahrq.gov/db/nation/nis/corrections_2000.jsp
January 01, 2000 - NIS Database Documentation - Corrections 2000
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hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_2_6a.jsp
January 01, 2005 - Exhibit 2.6. Diabetes
Exhibit 2.6. Diabetes
Hospital Stays and Discharge Prevalence for All-listed Diabetes by Patient Age, 2005
Patient Age
Total Discharges
Standard Errors
Discharges per 100,000 Population
All ages
6,516,500
143,465
2,198
<1
700
83
16
1-17
52,…
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hcup-us.ahrq.gov/reports/factsandfigures/figures/2005/2005_1_4.jsp
January 01, 2005 - Exhibit 1.4. Admission Source
Exhibit 1.4. Admission Source
Number and Distribution of Hospital Inpatient Stays by Admission Source, 2005
Admission Source
Total Number of Discharges
Percent Distribution
Standard Errors
All admission sources
39,163,800
100
765,017
Routine
…
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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…
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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…
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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
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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
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hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2016.jsp
January 01, 2016 - 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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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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hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2019.jsp
January 01, 2019 - 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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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…
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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
…
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hcup-us.ahrq.gov/db/nation/nis/NISIntroduction2019.pdf
September 01, 2021 - 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 … 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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hcup-us.ahrq.gov/db/nation/kid/tools/stats/KID_1997_SummaryStats_CORE.PDF
January 01, 1997 - Kurtosis -0.8575983
Uncorrected SS 133592753 Corrected SS 85497649.6
Coeff Variation 133.32966 Std Error … Kurtosis 2182.23168
Uncorrected SS 212799467 Corrected SS 177588390
Coeff Variation 224.578275 Std Error … Kurtosis 876219.5
Uncorrected SS 1511961466 Corrected SS 1476106868
Coeff Variation 641.632838 Std Error … Kurtosis 3648.56504
Uncorrected SS 2.19332E15 Corrected SS 2.03082E15
Coeff Variation 353.513227 Std Error … Kurtosis 14026.8582
Uncorrected SS 3.39752E15 Corrected SS 3.23071E15
Coeff Variation 440.090166 Std Error
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hcup-us.ahrq.gov/reports/methods/2020-04.pdf
January 01, 2020 - QI estimates
were included in the NHQDR if they reached a threshold defined by a relative standard
error … 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.
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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.
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hcup-us.ahrq.gov/reports/methods/MS2022-01-NHQDRMethodsReport.pdf
October 28, 2022 - 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.
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hcup-us.ahrq.gov/reports/methods/MS2021-03-NHQDRMethodsReport.pdf
December 09, 2021 - QI estimates
were included in the NHQDR if they reached a threshold defined by a relative standard
error … 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.
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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…
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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…