Overview of the Discharge Abstract Database. Visit https://dataone.org/datasets/sha256%3A8101bad04ed171dec041b0dea403492a80a24586e7efec866a857676123d3d74 for complete metadata about this dataset.

Originally developed in 1963, the Discharge Abstract Database (DAD) captures administrative, clinical and demographic information on hospital discharges (including deaths, sign-outs and transfers). Some provinces and territories also use the DAD to capture day surgery. Data extracted from the DAD is used to populate other CIHI databases, including The Hospital Morbidity Database (HMDB) The Hospital Mental Health Database (HMHDB)

During the webinar, senior analyst from CIHI presented the Discharge Abstract Database (DAD) Research Analytic Files. This database captures administrative, clinical and demographic information on hospital discharges, including deaths, sign-outs and transfers. There are two files in the DLI that relate to the Discharge Abstract Database. The files are de-identified samples containing record-level data from fiscal years 2009-2010 and 2010-2011. One file contains clinical data and the other geographic data. Both files are available in English and French. In particular, this webinar will focus on using the documentation provided, as well as a few illustrative examples on how to best use the DAD Research Analytic Files.

Originally developed in 1963, the Discharge Abstract Database (DAD) captures administrative, clinical and demographic information on hospital discharges (including deaths, sign-outs and transfers). Some provinces and territories also use the DAD to capture day surgery. Data extracted from the DAD is used to populate other CIHI databases, including The Hospital Morbidity Database (HMDB) The Hospital Mental Health Database (HMHDB)

An overview of Canadian Institute for Health Information (CIHI), the collaboration between CIHI and DLI, and overview of the Discharge Abstract Database (DAD).

Apr 2001 to Sep 2024 - metadata for MOH CORE - Discharge Abstract Database. This dataset includes de-identified records on discharges, transfers and deaths of in-patients and day surgery patients from acute care hospitals in BC. All Canadian hospitals (except those in Quebec) submit their separations records directly to the Canadian Institute of Health information (CIHI) for inclusion in the Discharge Abstract Database (DAD). The database contains demographic, administrative and clinical data for hospital discharges (inpatient acute, chronic, rehabilitation) and day surgeries. The provincial dataset includes various CIHI value-added elements such as case mix groups, and resource intensity weights. If you are a researcher and want to work with us to help make BC programs and services better, apply to use this dataset and don't hesitate to ask questions here: https://dpdd.atlassian.net/servicedesk/customer/portal/2

The Discharge Abstract Database captures administrative, clinical, and demographic information on hospital discharges. Two files are available: Clinical Detail and Geographic Detail. These files contain a 10% sampling of persons from the database. Reference dates were randomly assigned to selected individuals between March 1-31, 2011 and all discharges within the 2 year period were included. The Clinical Detail File includes inpatient data from all acute care institutions in Canada (excluding stillbirths and cadaveric donor cases). Data includes diagnosis, interventions, special care, length of stay, newborn weights, and gestation weeks at delivery. The Geographic Detail File includes inpatient data from all acute care institutions in Canada (excluding stillbirths and cadaveric donor cases). Data includes Health Region, case mix variables, and length of stay. Common data elements in the Clinical Detail and Geographic Detail Files are person identifier, facility province (territories are combined), discharge day, admission day, gender, and age group. The purpose of the DAD sample files is for the researchers to become familiar with the structure and content of DAD data, as well as to explore relationships among data elements. The sample files give researchers the chance to work with the data and clarify data requirements before making a formal data request to CIHI. They are not meant for completing an actual research project. You must read and accept the terms of the license agreement before you can obtain the data and documentation.

Originally developed in 1963, the Discharge Abstract Database (DAD) captures administrative, clinical and demographic information on hospital discharges (including deaths, sign-outs and transfers). Some provinces and territories also use the DAD to capture day surgery. Data extracted from the DAD is used to populate other CIHI databases, including The Hospital Morbidity Database (HMDB) The Hospital Mental Health Database (HMHDB)

Product overview of the Discharge Abstract Database (DAD) sample files available from the Canadian Institute of Health Information (CIHI).

Originally developed in 1963, the Discharge Abstract Database (DAD) captures administrative, clinical and demographic information on hospital discharges (including deaths, sign-outs and transfers). Some provinces and territories also use the DAD to capture day surgery.

1 A positive difference indicates that the virological results led hospitalizations.Average Differences in Timing between the Week of Hospital Admission with Influenza and Report of Laboratory Confirmation of Influenza in Specimens Sent for Testing.

Notes1 After accounting for a 2 week operational delay. In 12 out the 28 regional seasons, the alert should have been available at least 3 weeks before the peak in influenza hospitalizations.2 A novel strain (A⁄Fujian⁄411⁄02) emerged in the 2003/04 season and dominated the season. Prompt alerts that are provided before the peak are more crucial in seasons when a single strain dominates. The alert period will be shorter when a single strain circulates.Alert Characteristics.

Number of hospitalizations and emergency department visits over time, by virus type.

The Healthcare Cost and Utilization Project (HCUP) Nationwide Readmissions Database (NRD) is a unique and powerful database designed to support various types of analyses of national readmission rates for all payers and the uninsured. The NRD includes discharges for patients with and without repeat hospital visits in a year and those who have died in the hospital. Repeat stays may or may not be related. The criteria to determine the relationship between hospital admissions is left to the analyst using the NRD. This database addresses a large gap in health care data - the lack of nationally representative information on hospital readmissions for all ages. Outcomes of interest include national readmission rates, reasons for returning to the hospital for care, and the hospital costs for discharges with and without readmissions. Unweighted, the NRD contains data from approximately 18 million discharges each year. Weighted, it estimates roughly 35 million discharges. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The NRD is drawn from HCUP State Inpatient Databases (SID) containing verified patient linkage numbers that can be used to track a person across hospitals within a State, while adhering to strict privacy guidelines. The NRD is not designed to support regional, State-, or hospital-specific readmission analyses. The NRD contains more than 100 clinical and non-clinical data elements provided in a hospital discharge abstract. Data elements include but are not limited to: diagnoses, procedures, patient demographics (e.g., sex, age), expected source of payer, regardless of expected payer, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge, discharge month, quarter, and year, total charges, length of stay, and data elements essential to readmission analyses. The NIS excludes data elements that could directly or indirectly identify individuals. Restricted access data files are available with a data use agreement and brief online security training.

The Healthcare Cost and Utilization Project (HCUP) 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 each year. 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. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The KID is a sample of pediatric discharges from 4,000 U.S. hospitals in the HCUP State Inpatient Databases yielding approximately two to three million unweighted hospital discharges for newborns, children, and adolescents per year. About 10 percent of normal newborns and 80 percent of other neonatal and pediatric stays are selected from each hospital that is sampled for patients younger than 21 years of age. The KID contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes discharge status, diagnoses, procedures, patient demographics (e.g., sex, age), expected source of primary payment (e.g., Medicare, Medicaid, private insurance, self-pay, and other insurance types), and hospital charges and cost. Restricted access data files are available with a data use agreement and brief online security training.

The Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases (SID) are a set of hospital databases that contain the universe of hospital inpatient discharge abstracts from data organizations in participating States. The data are translated into a uniform format to facilitate multi-State comparisons and analyses. The SID are based on data from short term, acute care, nonfederal hospitals. Some States include discharges from specialty facilities, such as acute psychiatric hospitals. The SID include all patients, regardless of payer and contain clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). 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. The SID contain clinical and resource-use information that is included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). Data elements include but are not limited to: diagnoses, procedures, admission and discharge status, patient demographics (e.g., sex, age), total charges, length of stay, and expected payment source, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. In addition to the core set of uniform data elements common to all SID, some include State-specific data elements. The SID exclude data elements that could directly or indirectly identify individuals. For some States, hospital and county identifiers are included that permit linkage to the American Hospital Association Annual Survey File and county-level data from the Bureau of Health Professions' Area Resource File except in States that do not allow the release of hospital identifiers. Restricted access data files are available with a data use agreement and brief online security training.

The Discharge Abstract Database captures administrative, clinical, and demographic information on hospital discharges. Two files are available: Clinical Detail and Geographic Detail. These files contain a 10% sampling of persons from the database. Reference dates were randomly assigned to selected individuals. The Clinical Detail File includes inpatient data from all acute care institutions in Canada (excluding stillbirths and cadaveric donor cases). Data includes diagnosis, interventions, special care, length of stay, newborn weights, and gestation weeks at delivery. The Geographic Detail File includes inpatient data from all acute care institutions in Canada (excluding stillbirths and cadaveric donor cases). Data includes Health Region, case mix variables, and length of stay. Common data elements in the Clinical Detail and Geographic Detail Files are person identifier, facility province (territories are combined), discharge day, admission day, gender, and age group. The purpose of the DAD sample files is for the researchers to become familiar with the structure and content of DAD data, as well as to explore relationships among data elements. The sample files give researchers the chance to work with the data and clarify data requirements before making a formal data request to CIHI. They are not meant for completing an actual research project. You must read and accept the terms of the license agreement before you can obtain the data and documentation.

The Nationwide Emergency Department Sample (NEDS) was created to enable analyses of emergency department (ED) utilization patterns and support public health professionals, administrators, policymakers, and clinicians in their decision-making regarding this critical source of care. The NEDS can be weighted to produce national estimates. The NEDS is the largest all-payer ED database in the United States. It was constructed using records from both the HCUP State Emergency Department Databases (SEDD) and the State Inpatient Databases (SID), both also described in healthdata.gov. The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital). The SID contain information on patients initially seen in the emergency room and then admitted to the same hospital. The NEDS contains 25-30 million (unweighted) records for ED visits for over 950 hospitals and approximates a 20-percent stratified sample of U.S. hospital-based EDs. The NEDS contains information about geographic characteristics, hospital characteristics, patient characteristics, and the nature of visits (e.g., common reasons for ED visits, including injuries). The NEDS contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes ED charge information for over 75% of patients, regardless of payer, including patients covered by Medicaid, private insurance, and the uninsured. The NEDS excludes data elements that could directly or indirectly identify individuals, hospitals, or states.

Characteristics of admissions with respiratory syncytial virus.

The Healthcare Cost and Utilization Project (HCUP) Nationwide Emergency Department Sample (NEDS) is the largest all-payer emergency department (ED) database in the United States. yielding national estimates of hospital-owned ED visits. Unweighted, it contains data from over 30 million ED visits each year. Weighted, it estimates roughly 145 million ED visits nationally. Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. Sampled from the HCUP State Inpatient Databases (SID) and State Emergency Department Databases (SEDD), the HCUP NEDS can be used to create national and regional estimates of ED care. The SID contain information on patients initially seen in the ED and subsequently admitted to the same hospital. The SEDD capture information on ED visits that do not result in an admission (i.e., treat-and-release visits and transfers to another hospital). Developed through a Federal-State-Industry partnership sponsored by the Agency for Healthcare Research and Quality, HCUP data inform decision making at the national, State, and community levels. The NEDS contain information about geographic characteristics, hospital characteristics, patient characteristics, and the nature of visits (e.g., common reasons for ED visits, including injuries). The NEDS contains clinical and resource use information included in a typical discharge abstract, with safeguards to protect the privacy of individual patients, physicians, and hospitals (as required by data sources). It includes ED charge information for over 85% of patients, regardless of expected payer, including but not limited to Medicare, Medicaid, private insurance, self-pay, or those billed as ‘no charge’. The NEDS excludes data elements that could directly or indirectly identify individuals, hospitals, or states.Restricted access data files are available with a data use agreement and brief online security training.