-
hcup-us.ahrq.gov/reports/methods/2015-07.pdf
January 01, 2015 - included are data sources collected by
associations (e.g., the March of Dimes) or data collected by individual … The Household Component provides data from individual
households and their members. … Prevention (CDC)
Data Collection Method:
Cross-sectional survey consisting of computer-assisted individual … After each individual with multiple coverages in CPS is
assigned a primary insurer, then the CPS data
-
hcup-us.ahrq.gov/reports/methods/2014-02.pdf
January 01, 2014 - included are data sources collected by
associations (e.g., the March of Dimes) or data collected by individual … The Household Component provides data from individual
households and their members. … Prevention (CDC)
Data Collection Method:
Cross-sectional survey consisting of computer-assisted individual … After each individual with multiple coverages in CPS is
assigned a primary insurer, then the CPS data
-
hcup-us.ahrq.gov/reports/methods/2017-04.pdf
January 01, 2017 - included are data sources collected by
associations (e.g., the March of Dimes) or data collected by individual … The Household Component provides data from individual
households and their members. … Prevention (CDC)
Data Collection Method:
Cross-sectional survey consisting of computer-assisted individual … After each individual with multiple coverages in CPS is
assigned a primary insurer, then the CPS data
-
hcup-us.ahrq.gov/reports/methods/2013_01.pdf
January 01, 2013 - included are data sources collected by
associations (e.g., the March of Dimes) or data collected by individual … The Household Component provides data from individual
households and their members. … Prevention (CDC)
Data Collection Method:
Cross-sectional survey consisting of computer-assisted individual … After each individual with multiple coverages in CPS is
assigned a primary insurer, then the CPS data
-
hcup-us.ahrq.gov/reports/methods/2019-02.pdf
January 01, 2019 - included are data sources collected by
associations (e.g., the March of Dimes) or data collected by individual … The Household Component provides data from individual
households and their members. … Prevention (CDC)
Data Collection Method:
Cross-sectional survey consisting of computer-assisted individual … After each individual with multiple coverages in CPS is
assigned a primary insurer, then the CPS data
-
hcup-us.ahrq.gov/reports/methods/2016-04.pdf
January 01, 2016 - included are data sources collected by
associations (e.g., the March of Dimes) or data collected by individual … The Household Component provides data from individual
households and their members. … Prevention (CDC)
Data Collection Method:
Cross-sectional survey consisting of computer-assisted individual … After each individual with multiple coverages in CPS is
assigned a primary insurer, then the CPS data
-
hcup-us.ahrq.gov/reports/statbriefs/sb10.pdf
July 01, 2006 - HCUP Statistical Brief #10: Racial and Ethnic Disparities in Potentially Preventable Hospitalizations, 2003
HEALTHCARE COST AND
UTILIZATION PROJECT
Agen
Res
July 2006
In 200
paritie
preven
with b
highes
secon
The di
hospit
condit
hypert
Comp
whites
these
to 5 tim
blacks
times
Comp
w…
-
hcup-us.ahrq.gov/reports/statbriefs/sb71.pdf
April 01, 2009 - Statistical Brief #71: Hospitalizations Related to Childbirth, 2006
1
April 2009
Hospitalizations Related to Childbirth,
2006
C. Allison Russo, M.P.H, Lauren Wier, M.P.H., and Claudia Steiner,
M.D., M.P.H.
Introduction
Hospitalizations related to childbirth comprise a large portion of
U.S. hospital care. …
-
hcup-us.ahrq.gov/reports/statbriefs/sb147.pdf
March 01, 2012 - , to decrease the number of
false-positive results, we reduced the significance level to 0.001 for individual
-
hcup-us.ahrq.gov/reports/statbriefs/sb72.pdf
April 01, 2009 - between the
poorest and wealthiest communities ranged from 130 percent to more than 400 percent across individual … bDue to differences in the age criterion for individual pediatric conditions, the total number of admissions
-
hcup-us.ahrq.gov/reports/statbriefs/sb6.pdf
May 01, 2006 - Statistical Brief #6: Hospitalizations in the Elderly Population, 2003
HEALTHCARE COST AND
UTILIZATION PROJECT
Agen
Res
6
May 2006
Althou
only 1
popula
accou
hospit
over 1
Hospit
resulte
totalin
43.6 p
hospit
Hospit
elderly
higher
hospit
elderly
elderly
origina
depart
propor
died d
…
-
hcup-us.ahrq.gov/reports/statbriefs/sb6.jsp
May 01, 2006 - Statistical Brief #6
An official website of the Department of Health & Human Services
Search All AHRQ Websites
Careers
Contact Us
Espanol
FAQs
Email Updates
…
-
hcup-us.ahrq.gov/datainnovations/clinicaldata/FL10AHRQprojectsummarytoHospitals.jsp
July 10, 2016 - into All Patient Refined Diagnosis Related Groups (APR DRGs) for analysis. 3M HIS will identify the individual
-
hcup-us.ahrq.gov/toolssoftware/hms/HMSUserGuide1997.pdf
January 10, 2007 - File Format
The data set contains records at the hospital level for individual hospitals in the NIS
-
hcup-us.ahrq.gov/toolssoftware/hms/HMSUserGuide2000.pdf
January 10, 2007 - File Format
The data set contains records at the hospital level for individual hospitals in the NIS
-
hcup-us.ahrq.gov/reports/methods/2006_2.pdf
January 01, 2006 - Ideally, this identifier is unique and specific to each individual over time and
across settings.
-
hcup-us.ahrq.gov/reports/methods/2008_02.pdf
January 01, 2008 - The number of statistically significant
associations for the nine individual PSIs range widely from … Findings about aggregate associations may or may not hold for individual
associations. … The disadvantage is that
such an aggregation may mask critical distinctions at the individual hospital … FINDINGS
In examining the results of the correlation analysis, we look first at individual PSIs and … The number of statistically significant
associations for individual PSIs range widely from 0 to 21 out
-
hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2008.jsp
January 01, 2008 - Will not identify or attempt to identify any individual, including by the use of vulnerability analysis … Will not publish information that could identify individual establishments (e.g., hospitals) ) and will … Will acknowledge that risk of individual identification of persons is increased when observations (i.e … ., individual discharge records) in any given cell of tabulated data is less than or equal to 10. … This means that individual patients who are hospitalized multiple times in one year may be present in
-
hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2012.jsp
January 01, 2012 - Will not identify or attempt to identify any individual, including by the use of vulnerability analysis … Will not publish information that could identify individual establishments (e.g., hospitals) ) and will … Will acknowledge that risk of individual identification of persons is increased when observations (i.e … ., individual discharge records) in any given cell of tabulated data is less than or equal to 10. … Because inpatient data are available for many individual States through the HCUP Central Distributor,
-
hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2013.jsp
January 01, 2013 - Will not identify or attempt to identify any individual, including by the use of vulnerability analysis … Will not publish information that could identify individual establishments (e.g., hospitals) ) and will … Will acknowledge that risk of individual identification of persons is increased when observations (i.e … ., individual discharge records) in any given cell of tabulated data is less than or equal to 10. … Because inpatient data are available for many individual States through the HCUP Central Distributor,