-
hcup-us.ahrq.gov/reports/statbriefs/sb182-Medicaid-Uninsured-Hospitalizations-2012.jsp
October 01, 2014 - The redesign incorporates two critical changes:
Revisions to the sample design—the NIS … by reducing sampling error: for many estimates, confidence intervals under the new design are about … half the length of confidence intervals under the previous design. … The change in sample design for 2012 necessitates recomputation of prior years' NIS data to enable analysis … Hospitals, 2011
For a detailed description of HCUP and more information on the design of the National
-
hcup-us.ahrq.gov/reports/methods/2018-01.pdf
January 01, 2018 - Revision, Clinical
Modification/Procedure Coding System.
5 In data year 2012, the HCUP NIS changed its design … Because of the differences in design, the trend analyses for the QDR did not use the 2012–
2015 NIS. … size: 7.5 million records
Nationally weighted analysis file with a 20
percent sample of hospitals … size: 7.9 million records
Nationally weighted analysis file with a 20
percent sample of hospitals … This method takes into account the cluster and stratification aspects
of the sample design when calculating
-
hcup-us.ahrq.gov/news/exhibit_booth/HCUPOverviewDeck_121422.pdf
February 09, 2022 - Sampling Strata
NIS Sample Design
• Ownership/control
• Bed size
• Teaching status
• Urban/rural … KID Sample Design
The KID is a
systematic random
sample design, 10
percent
uncomplicated … Sampling StrataStarting HCUP Database Sample Design
NEDS Sample Design
The NEDS is drawn
from SEDD … NEDS Sample Design
Sampling StrataStarting HCUP Database Sample Design
The NRD is a 100
percent … • Patient age and
sex
*State not included
Sampling StrataStarting HCUP Database Sample Design
-
hcup-us.ahrq.gov/reports/methods/2017-03.pdf
January 01, 2017 - 3 In data year 2012, the HCUP NIS changed its design … Because of the differences in design, the trend analyses for the QDR did not use the 2012–
2014 NIS. … size: 7.5 million records
Nationally weighted analysis file with a 20
percent sample of hospitals … size: 7.9 million records
Nationally weighted analysis file with a 20
percent sample of hospitals … This method takes into account the cluster and stratification aspects
of the sample design when calculating
-
hcup-us.ahrq.gov/reports/methods/2016-01.pdf
January 01, 2016 - 3 In data year 2012, the HCUP NIS changed its design … Because of the differences in design, the trend analyses for the QDR did not use the 2012–
2013 NIS. … size: 7.5 million records
Nationally weighted analysis file with a 20
percent sample of hospitals … size: 7.9 million records
Nationally weighted analysis file with a 20
percent sample of hospitals … This method takes into account the cluster and stratification aspects
of the sample design when calculating
-
hcup-us.ahrq.gov/db/nation/nis/DataElements_NIS_2001_HOSPITAL.pdf
January 01, 2001 - For detailed information about the NIS sampling design, see the year-specific
report on the Design of … When the sample size was sufficiently large, hospitals were stratified as public
(HOSP_CONTROL=1), voluntary … For detailed information about the NIS sampling design, see the year-specific
report on the Design of … For detailed information about the NIS sampling design, see the year-specific
report on the Design of … For detailed information about the NIS sampling design, see the year-specific
report on the Design of
-
hcup-us.ahrq.gov/db/nation/kid/kid_2009_introduction.jsp
January 01, 2009 - The KID's large sample size enables analyses of rare conditions, such as congenital anomalies and uncommon … The HCUP Sampling Design tutorial is designed to help users learn how to account for sample design … reports on Design of the Kids’ Inpatient Database found on the HCUP-US Website . … Starting with the 2006 KID, the design information was incorporated into this report. … Hospital Sample Design
Design Considerations
The overall design objective was to select a sample
-
hcup-us.ahrq.gov/news/exhibit_booth/nass_brochure.jsp
March 01, 2020 - Nationwide Ambulatory Surgery Sample (NASS)
An official website of the Department of Health & Human Services
Search All AHRQ Websites
Careers
Contact Us
Espanol
FAQs
Email U…
-
hcup-us.ahrq.gov/db/nation/kid/DataElements_KID_Hospital_2000.pdf
January 01, 2000 - When sample size was sufficiently large,
hospitals were stratified as public, voluntary, and proprietary … For detailed information about the KID sampling design, see the year-specific
report on the Design of … For detailed information about the KID sampling design, see the year-specific
report on the Design of … For detailed information about the KID sampling design, see the year-specific
report on the Design of … For detailed information about the KID sampling design, see the year-specific
report on the Design of
-
hcup-us.ahrq.gov/reports/statbriefs/sb246-Geographic-Variation-Hospital-Stays.pdf
February 01, 2018 - Because of the large sample sizes, we
focus on the size of differences between estimates rather than … The redesign incorporates two critical
changes:
• Revisions to the sample design—starting with 2012 … by reducing sampling error: for many estimates, confidence intervals under the
new design are about … half the length of confidence intervals under the previous design. … The unweighted sample size for the 2016 NIS is 7,135,090 (weighted, this represents 35,675,421
inpatient
-
hcup-us.ahrq.gov/db/nation/nis/reports/2004niscomparisonrpt.jsp
May 01, 2016 - One of the most distinctive features of the NIS is that its large sample size allows for the study of … We must emphasize that the NIS provides a large sample size that tends to yield estimates with much smaller … Because NIS estimates have greater precision — the result of the large sample size — it may be preferred … Where a comprehensive geographic representation is more important than a large sample size, and the question … (a) Because of very small sample size, the NHDS estimate and standard error were unreliable and not reported
-
hcup-us.ahrq.gov/reports/statbriefs/sb235-Inpatient-Stays-Age-Payer-Trends.pdf
December 01, 2016 - The redesign incorporates two critical
changes:
• Revisions to the sample design—starting with 2012 … by reducing sampling error: for many estimates, confidence intervals under the
new design are about … half the length of confidence intervals under the previous design. … The change in
sample design for 2012 necessitates recomputation of prior years' NIS data to enable analyses … For a detailed description of HCUP and more information on the design of the National (Nationwide)
Inpatient
-
hcup-us.ahrq.gov/reports/methods/Comparison_Report_NIS41995Final.pdf
December 21, 1998 - See Design of the HCUP Nationwide Inpatient Sample, Release 4,
for more details on the design of the … A significance test was not performed because a valid standard error was not available.
b The NHDS sample … size was too small to calculate a valid estimate of standard error … size was too small to calculate a valid estimate of standard error … size was too small to calculate a valid estimate of standard error
-
hcup-us.ahrq.gov/db/nation/nis/reports/2005niscomparisonrpt.jsp
November 01, 2015 - Where a comprehensive geographic representation is more important than a large sample size, and the question … The NIS provides a large sample size that tends to yield estimates with much smaller standard errors … Because NIS estimates have greater precision – the result of the large sample size – it may be preferred … (a) Because of very small sample size, the NHDS estimate and standard error were unreliable and not reported … (a) Because of very small sample size, the NHDS estimate and standard error were unreliable and not reported
-
hcup-us.ahrq.gov/reports/statbriefs/sb205-Hospital-Discharge-Postacute-Care.pdf
November 01, 2015 - The redesign incorporates two critical
changes:
Revisions to the sample design—starting with … by reducing sampling error: for many estimates, confidence intervals under the
new design are about … half the length of confidence intervals under the previous design. … The change in
sample design for 2012 necessitates recomputation of prior years' NIS data to enable analysis … Hospitals, 2011
For a detailed description of HCUP and more information on the design of the National
-
hcup-us.ahrq.gov/reports/statbriefs/sb226-Patient-Residence-Opioid-Hospital-Stays-ED-Visits-by-State.pdf
December 01, 2016 - size was too small to calculate the rate)
a The number of States represented in the top and bottom … size was too small to calculate the
rate)
a The number of States represented in the top and bottom … size was too small to calculate the rate)
a Opioid-related inpatient rates are per 100,000 population … size was too small to calculate the
rate)
a Opioid-related ED visit rates are per 100,000 population … half the length of confidence intervals under the previous design.
-
hcup-us.ahrq.gov/news/exhibit_booth/NEDSBrochure_050218.pdf
May 16, 2018 - One of the most distinctive features of the NEDS
is its large sample size, which allows for analysis
-
hcup-us.ahrq.gov/db/nation/kid/KID_2009_Introduction.pdf
January 01, 2009 - The KID's large sample
size enables analyses of rare conditions, such as congenital anomalies and uncommon … Detailed information on the design of the KID prior to 2006 is available in the year-specific
special … The HHCUP Sampling DesignH tutorial is designed to help users learn how to account for sample
design … Variance estimates must take into account both the sampling
design and the form of the statistic. … reports on Design of the Kids’ Inpatient Database found on
the HHCUP-US WebsiteH.
-
hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2022_Hospital.TXT
January 01, 2022 - Data Set Name: NRD_2022_HOSPITAL
Created on 11/06/2024
Number of Observations: 2505
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 3 Database name
5 - 8 Discharge year of data
10 - 35 File name
37 - 40 Data element number
42 - 70 Data eleme…
-
hcup-us.ahrq.gov/db/nation/nrd/stats/FileSpecifications_NRD_2021_Hospital.TXT
January 01, 2021 - Data Set Name: NRD_2021_HOSPITAL
Created on 12/29/2023
Number of Observations: 2505
Total Number of Data Elements: 12
Columns Description
======== ===========
1 - 3 Database name
5 - 8 Discharge year of data
10 - 35 File name
37 - 40 Data element number
42 - 70 Data eleme…