The NIS is the largest publicly available all-payer inpatient healthcare database designed to produce U.S. regional and national estimates of inpatient utilization, access, cost, quality, and outcomes. Unweighted, it contains data from around 7 million hospital stays each year. Weighted, it estimates around 35 million hospitalizations nationally. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels.
Its large sample size is ideal for developing national and regional estimates and enables analyses of rare conditions, uncommon treatments, and special populations.
IMPORTANT NOTE: Some records are missing from the Severity Measures table for 2017 & 2018, but none are missing from any of the other 2012-2020 data. We are in the process of trying to recover the missing records, and will update this note when we have done so.
Also %3Cu%3EDO NOT%3C/u%3E
use this data without referring to the NIS Database Documentation, which includes:
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All manuscripts (and other items you'd like to publish) must be submitted to
phsdatacore@stanford.edu for approval prior to journal submission.
We will check your cell sizes and citations.
For more information about how to cite PHS and PHS datasets, please visit:
https:/phsdocs.developerhub.io/need-help/citing-phs-data-core
For additional assistance, AHRQ has created the HCUP Online Tutorial Series, a series of free, interactive courses which provide training on technical methods for conducting research with HCUP data. Topics include an HCUP Overview Course and these tutorials:
• The HCUP Sampling Design tutorial is designed to help users learn how to account for sample design in their work with HCUP national (nationwide) databases. • The Producing National HCUP Estimates tutorial is designed to help users understand how the three national (nationwide) databases – the NIS, Nationwide Emergency Department Sample (NEDS), and Kids' Inpatient Database (KID) – can be used to produce national and regional estimates. HCUP 2020 NIS (8/22/22) 14 Introduction • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the estimates produced from the HCUP nationwide databases. Users will learn two methods for calculating standard errors for estimates produced from the HCUP national (nationwide) databases. • The HCUP Multi-year Analysis tutorial presents solutions that may be necessary when conducting analyses that span multiple years of HCUP data. • The HCUP Software Tools Tutorial provides instructions on how to apply the AHRQ software tools to HCUP or other administrative databases.
New tutorials are added periodically, and existing tutorials are updated when necessary. The Online Tutorial Series is located on the HCUP-US website at www.hcupus.ahrq.gov/tech_assist/tutorials.jsp.
In 2015, AHRQ restructured the data as described here:
https://hcup-us.ahrq.gov/db/nation/nis/2015HCUPNationalInpatientSample.pdf
Some key points:
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The National (Nationwide) Kids' Inpatient Database (KID) is part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). Only years 2003, 2006, 2009, 2012 are available on the PHS Data Portal.
The Kids' Inpatient Database (KID) is the largest publicly available all-payer pediatric inpatient care database in the United States, containing data from two to three million hospital stays. Its large sample size is ideal for developing national and regional estimates and enables analyses of rare conditions, such as congenital anomalies, as well as uncommon treatments, such as organ transplantation. KID releases for data years 1997, 2000, 2003, 2006, 2009, 2012, 2016, and 2019 are available for purchase online through the Online HCUP Central Distributor. The KID was not produced for 2015 because of the transition from ICD-9-CM to ICD-10-CM/PCS coding.
KID Database Documentation includes:
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Please visit the HCUP National KID page for more information.
Data Documentation is on the HCUP Website:
%3Cu%3E%3Cstrong%3EKids' Inpatient Database (KID)%3C/strong%3E%3C/u%3E
KID Overview:
https://www.hcup-us.ahrq.gov/kidoverview.jsp
KID Data Elements by State:
https://www.hcup-us.ahrq.gov/db/nation/kid/kiddde.jsp
Introduction to the KID:
https://www.hcup-us.ahrq.gov/db/nation/kid/kid_2019_introduction.jsp
Exports are approved on a case-by-case basis; allow 24 hours for approval. The use of exported data is only permitted for approved projects. An updated data use agreement must be submitted to HCUP by the dataset administrator before proceeding to work with the data for new projects. To initiate a new project or line of inquiry, email ortho_biostats@stanford.edu.
Passing of data to other users outside of the system is not permitted without permission of the data administrator (Jayme Koltsov). All users must complete the HCUP tutorial and data use agreement prior to data access. Email ortho_biostats@stanford.edu to obtain data access.
The State Ambulatory Surgery Databases (SASD), State Inpatient Databases (SID), and State Emergency Department Databases (SEDD) are part of a family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP).
HCUP's state-specific databases can be used to investigate state-specific and multi-state trends in health care utilization, access, charges, quality, and outcomes. PHS has several years (2008-2011) and datasets (SASSD, SED and SIDD) for HCUP California available.
The State Ambulatory Surgery and Services Databases (SASD) are State-specific files that include data for ambulatory surgery and other outpatient services from hospital-owned facilities. In addition, some States provide ambulatory surgery and outpatient services from nonhospital-owned facilities. The uniform format of the SASD helps facilitate cross-State comparisons. The SASD are well suited for research that requires complete enumeration of hospital-based ambulatory surgeries within geographic areas or States.
The State Inpatient Databases (SID) are State-specific files that contain all inpatient care records in participating states. Together, the SID encompass more than 95 percent of all U.S. hospital discharges. The uniform format of the SID helps facilitate cross-state comparisons. In addition, the SID are well suited for research that requires complete enumeration of hospitals and discharges within geographic areas or states.
The State Emergency Department Databases (SEDD) are a set of longitudinal State-specific emergency department (ED) databases included in the HCUP family. The SEDD capture discharge information on all emergency department visits that do not result in an admission. Information on patients seen in the emergency room and then admitted to the hospital is included in the State Inpatient Databases (SID)
SASD, SID, and SEDD each have **Documentation **which includes:
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All manuscripts (and other items you'd like to publish) must be submitted to
phsdatacore@stanford.edu for approval prior to journal submission.
We will check your cell sizes and citations.
For more information about how to cite PHS and PHS datasets, please visit:
https:/phsdocs.developerhub.io/need-help/citing-phs-data-core
The HCUP California inpatient files were constructed from the confidential files received from the Office of Statewide Health Planning and Development (OSHPD). OSHPD excluded inpatient stays that, after processing by OSHPD, did not contain a complete and “in-range” admission date or discharge date. California also excluded inpatient stays that had an unknown or missing date of birth. OSHPD removes ICD-9-CM and ICD-10-CM diagnoses codes for HIV test results. Beginning with 2009 data, OSHPD changed regulations to require hospitals to report all external cause of injury diagnosis codes including those specific to medical misadventures. Prior to 2009, OSHPD did not require collection of diagnosis codes identifying medical misadventures.
**Types of Facilities Included in the Files Provided to HCUP by the Partner **
California supplied discharge data for inpatient stays in general acute care hospitals, acute psychiatric hospitals, chemical dependency recovery hospitals, psychiatric health facilities, and state operated hospitals. A comparison of the number of hospitals included in the SID and the number of hospitals reported in the AHA Annual Survey is available starting in data year 2010. Hospitals do not always report data for a full calendar year. Some hospitals open or close during the year; other hospitals have technical problems that prevent them from reporting data for all months in a year.
**Inclusion of Stays in Special Units **
Included with the general acute care stays are stays in skilled nursing, intermediate care, rehabilitation, alcohol/chemical dependency treatment, and psychiatric units of hospitals in California. How the stays in these different types of units can be identified differs by data year. Beginning in 2006, the information is retained in the HCUP variable HOSPITALUNIT. Reliability of this indicator for the level of care depends on how it was assigned by the hospital. For data years 1998-2006, the information was retained in the HCUP variable LEVELCARE. Prior to 1998, the first
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License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Behavioral-Health-Outcomes/id6m-2zrn
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
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License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Maternal-and-Child-Health-Outcomes/dpww-zygd
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
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License information was derived automatically
This dataset is no longer updated as of April 2023.
Basic Metadata Note: condition new in 2017. Variable measures findings or listed personal history of substance use and mental health conditions. *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
CARE Scholars-- Please click the 'Apply for Access' button in the upper right corner of this page, and complete the forms listed there.
AND please make sure to ask Dr. Rajeshuni to add you to the 'CARE Scholars-Hospitalization' study on this data portal! (This will take care of the 'Approval - IRB PHS 40974' form and the 'PI - Stanford RIF' form so that you don't have to do anything for those.)
You will be using a dataset called the HCUP Nation Inpatient Database (NIS). Please refer to the resources on that Portal page for more information about the dataset and how to go about working with it.
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U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
This dataset is no longer updated as of April 2023.
Basic Metadata Note: This is the HCUP definition. There is crossover with other conditions defined by other sources, including dementia and Alzheimer's disease, and personality disorders. *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Behavioral-Health-Outcomes/id6m-2zrn
Basic Metadata Note: Alcohol abuse includes acute and chronic alcohol use codes. *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Alzheimer-s-Disease-and-Related-Dementias/6gup-43ea
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Behavioral-Health-Outcomes/id6m-2zrn
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Behavioral-Health-Outcomes/id6m-2zrn
Basic Metadata Note: Condition new for 2017. *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Injuries/kcur-nm3s
Basic Metadata Note: ICD-9 "E Codes: Poisoning" include all accidental substance abuse and alcohol poisonings (example: Accidental poisoning heroin, Accidental alcoholic beverage) in ICD-10 these accidental substance abuse and alcohol codes move from the "E Codes: poisoning' into the HCUP "Substance Abuse" category.
*Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.18.xlsx
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
For current version see: https://data.sandiegocounty.gov/Health/2021-Non-Communicable-Chronic-Diseases/v7dt-rwpx
Basic Metadata *Rates per 100,000 population. Age-adjusted rates per 100,000 2000 US standard population.
**Blank Cells: Rates not calculated for fewer than 5 events. Rates not calculated in cases where zip code is unknown.
***API: Asian/Pacific Islander. ***AIAN: American Indian/Alaska Native.
Prepared by: County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2019.
Code Source: ICD-9CM - AHRQ HCUP CCS v2015. ICD-10CM - AHRQ HCUP CCS v2018. ICD-10 Mortality - California Department of Public Health, Group Cause of Death Codes 2013; NHCS ICD-10 2e-v1 2017.
Data Guide, Dictionary, and Codebook: https://www.sandiegocounty.gov/content/dam/sdc/hhsa/programs/phs/CHS/Community%20Profiles/Public%20Health%20Services%20Codebook_Data%20Guide_Metadata_10.2.19.xlsx
The NIS is the largest publicly available all-payer inpatient healthcare database designed to produce U.S. regional and national estimates of inpatient utilization, access, cost, quality, and outcomes. Unweighted, it contains data from around 7 million hospital stays each year. Weighted, it estimates around 35 million hospitalizations nationally. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality (AHRQ), HCUP data inform decision making at the national, State, and community levels.
Its large sample size is ideal for developing national and regional estimates and enables analyses of rare conditions, uncommon treatments, and special populations.
IMPORTANT NOTE: Some records are missing from the Severity Measures table for 2017 & 2018, but none are missing from any of the other 2012-2020 data. We are in the process of trying to recover the missing records, and will update this note when we have done so.
Also %3Cu%3EDO NOT%3C/u%3E
use this data without referring to the NIS Database Documentation, which includes:
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%3C!-- --%3E
All manuscripts (and other items you'd like to publish) must be submitted to
phsdatacore@stanford.edu for approval prior to journal submission.
We will check your cell sizes and citations.
For more information about how to cite PHS and PHS datasets, please visit:
https:/phsdocs.developerhub.io/need-help/citing-phs-data-core
For additional assistance, AHRQ has created the HCUP Online Tutorial Series, a series of free, interactive courses which provide training on technical methods for conducting research with HCUP data. Topics include an HCUP Overview Course and these tutorials:
• The HCUP Sampling Design tutorial is designed to help users learn how to account for sample design in their work with HCUP national (nationwide) databases. • The Producing National HCUP Estimates tutorial is designed to help users understand how the three national (nationwide) databases – the NIS, Nationwide Emergency Department Sample (NEDS), and Kids' Inpatient Database (KID) – can be used to produce national and regional estimates. HCUP 2020 NIS (8/22/22) 14 Introduction • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the estimates produced from the HCUP nationwide databases. Users will learn two methods for calculating standard errors for estimates produced from the HCUP national (nationwide) databases. • The HCUP Multi-year Analysis tutorial presents solutions that may be necessary when conducting analyses that span multiple years of HCUP data. • The HCUP Software Tools Tutorial provides instructions on how to apply the AHRQ software tools to HCUP or other administrative databases.
New tutorials are added periodically, and existing tutorials are updated when necessary. The Online Tutorial Series is located on the HCUP-US website at www.hcupus.ahrq.gov/tech_assist/tutorials.jsp.
In 2015, AHRQ restructured the data as described here:
https://hcup-us.ahrq.gov/db/nation/nis/2015HCUPNationalInpatientSample.pdf
Some key points:
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