-
hcup-us.ahrq.gov/reports/natstats/his95/clinclas.htm
January 01, 1999 - administrative data on inpatient stays were not created for research
purposes, there may be problems with the reliability
-
hcup-us.ahrq.gov/reports/statbriefs/sb26.pdf
February 01, 2007 - lower
extremity 5,900 0.0% 5.9 $6,700 $40 34.5% * 64
*Too few cases to report with statistical reliability
-
hcup-us.ahrq.gov/reports/statbriefs/sb26.jsp
February 01, 2007 - 5,900
0.0%
5.9
$6,700
$40
34.5%
*
64
*Too few cases to report with statistical reliability
-
hcup-us.ahrq.gov/toolssoftware/util_flags/utilflag.jsp
September 01, 2021 - Utilization Flags
An official website of the Department of Health & Human Services
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hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/ca11.jsp
June 01, 2014 - Race, Ethnicity, and Language Data Collection: Nuts and Bolts
An official website of the Department of Health & Human Services
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hcup-us.ahrq.gov/reports/natstats/commdx/commdx.htm
October 01, 1999 - administrative data on inpatient stays were not created for research
purposes, there may be problems with the reliability
-
hcup-us.ahrq.gov/reports/statbriefs/sb90.pdf
May 21, 2010 - Statistical Brief #90: Hospital Readmissions and Multiple Emergency Department Visits, in Selected States, 2006-2007
From
HEALTHCARE COST AND
UTILIZATION PROJECT
Agency for Healthcare
Research and Quality
STATISTICAL BRIEF #90
May 2010
Highlights
■ Two out of every five patients who
soug…
-
hcup-us.ahrq.gov/reports/factsandfigures/2007/pdfs/section3_2.pdf
January 01, 2007 - HCUP Facts and Figures: Statistics on Hospital-Based Care in the United States, 2007 34
EXHIBIT 3.2 Most Frequent All-listed Procedures by Age
CUMULATIVE
GROWTH
1997 2007 1997 2007 1997-2007
All ages, total discharges † 34,679 39,542 14%
< 1 year, total discharges 4,426 5,125 100.0% 100.0% …
-
hcup-us.ahrq.gov/tech_assist/data_query/HCUPnet_Readmissions_Methodology.pdf
November 01, 2012 - Methods
Calculating Readmissions for HCUPnet
This document provides details on the methods used to calculate readmissions for HCUPnet. The
definition of readmissions used for this analysis follows the methods developed for measuring all-payer
readmissions for the Partnership for Patients.1
Definition of Readmiss…
-
hcup-us.ahrq.gov/reports/methods/2010_03.pdf
January 01, 2010 - Microsoft Word - deliverable45_2.doc
HCUP Methods Series
kbr33831
Contact Information:
Healthcare Cost and Utilization Project (HCUP)
Agency for Healthcare Research and Quality
540 Gaither Road
Rockville, MD 20850
http://www.hcup-us.ahrq.gov
For Technical Assistance with HCUP Products:
Email: h…
-
hcup-us.ahrq.gov/db/nation/nis/reports/2007niscomparisonrpt.jsp
May 01, 2016 - 2007 HCUP Nationwide Inpatient Sample (NIS) Comparison Report
An official website of the Department of Health & Human Services
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hcup-us.ahrq.gov/reports/statbriefs/sb53.pdf
June 01, 2008 - Racial and Ethnic Disparities in Hospitals Patient Safety Events, 2005
HEALTHCARE COST AND
UTILIZATION PROJECT
Agen
Rese
June 2008
C. Allison Russo, M.P.H., Roxanne M. Andrews, Ph.D., and
Marguerite Barrett, M.S.
Introduction
Highli
Overall, Asian-P
had worse rate
events than wh
the…
-
hcup-us.ahrq.gov/news/exhibit_booth/hcup_fact_sheet.jsp
April 01, 2022 - HCUP Fact Sheet
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hcup-us.ahrq.gov/reports/factsandfigures/2007/exhibit3_2.jsp
January 01, 2007 - Facts and Figures Exhibit 3.2
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hcup-us.ahrq.gov/nassoverview.jsp
February 01, 2025 - NASS Overview
An official website of the Department of Health & Human Services
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hcup-us.ahrq.gov/nrdoverview.jsp
February 01, 2025 - NRD Overview
An official website of the Department of Health & Human Services
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-
hcup-us.ahrq.gov/reports/statbriefs/sb34.jsp
July 01, 2007 - *Too few cases to report with statistical reliability.
-
hcup-us.ahrq.gov/reports/statbriefs/sb25.pdf
January 01, 2007 - **Too few cases to report with statistical reliability.
2.3
4.7
15.3
0
5
10
15
20
<18 18-44
-
hcup-us.ahrq.gov/reports/statbriefs/sb34.pdf
July 01, 2007 - *Too few cases to report with statistical reliability.
-
hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/or26.pdf
June 01, 2012 - IDEA-NW’s goals are to
improve the validity and reliability of AI/AN race data in state data systems