In 2021, there were an average of *** hospital discharges per one thousand inhabitants in OECD countries. With over *** discharges per 1,000 inhabitants, Germany had the highest hospital discharge rates in 2021. This statistic depicts the number of hospital discharges by country in 2021, measured per 1,000 population.

The information flow of the Hospital Discharge database (SDO flow) is the tool for collecting information relating to all hospitalization episodes provided in public and private hospitals throughout the national territory.

Born for purely administrative purposes of the hospital setting, the SDO, thanks to the wealth of information contained, not only of an administrative but also of a clinical nature, has become an indispensable tool for a wide range of analyzes and elaborations, ranging from areas to support of health planning activities for monitoring the provision of hospital assistance and the Essential Levels of Assistance, for use for proxy analyzes of other levels of assistance as well as for more strictly clinical-epidemiological and outcome analyzes. In this regard, the SDO database is a fundamental element of the National Outcomes Program (PNE).

The information collected includes the patient's personal characteristics (including age, sex, residence, level of education), characteristics of the hospitalization (for example institution and discharge discipline, hospitalization regime, method of discharge, booking date, priority class of hospitalization) and clinical features (e.g. main diagnosis, concomitant diagnoses, diagnostic or therapeutic procedures)

Information relating to drugs administered during hospitalization or adverse reactions to them (subject to other specific information flows) is excluded from the discharge form.

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed. Note: This dataset may be downloaded from the attachments section of this page in a smaller, compressed format.

In the 2024fiscal year, a total of **** million discharges were recorded in U.S. hospitals. Californian hospitals alone made nearly *** million discharges, while there were *** million discharges in Texas.

Hospitalization Discharge Rates in Lake County, Illinois. Explanation of field attributes: Anxiety Disorder - Anxiety disorders are characterized by excessive fear or stress that is difficult to control and negatively and substantially impacts daily functioning. This is a rate per 100,000. Mood Disorder – Mood disorders are characterized by the elevation or lowering of a person's mood, such as depression or bipolar disorder. This is a rate per 100,000. Alcohol Rehabilitation – Alcohol rehabilitation is a term for the medical and/or psychotherapeutic treatment for dependency on alcohol. This is a rate per 100,000. Diabetes – Diabetes is a chronic disease in which blood sugar (glucose) levels are above normal. This is a rate per 100,000. Hypertension – Hypertension is a chronic disease in which blood pressure (the force of the blood flowing blood vessels) is consistently high. This is a rate per 100,000. Asthma - Asthma is a condition in which airways narrow, swell, and produce extra mucus leading to difficulty in breathing. This is a rate per 100,000. Senior Falls Emergency Room Visit – Senior falls refers to individuals who are 65 years or older who have a fall and injure themselves. This is a rate per 100,000. Hospital Discharges – Hospital discharge is defined as the release of a patient who has stayed at least one night in hospital. This is a rate per 100,000. Mental Health Emergency Room Visit – Mental health conditions/ or mental illnesses refer to disorders generally characterized by dysregulation of mood, thought, and/or behavior. This is a rate per 100,000. Total Mental Health – Mental health conditions/ or mental illnesses refer to disorders generally characterized by dysregulation of mood, thought, and/or behavior. This is a rate per 100,000. Total Ambulatory Care Sensitive Conditions – Ambulatory Care Sensitive Conditions (ACSCs) are defined as conditions where effective community care and case management can help prevent the need for hospital admission. This is a rate per 100,000.

The data includes information on procedures, diagnosis (coded according to ICD-10), length of stay, department and selected sociodemographic characteristics such as age, gender and place of residence.

Percentage of emergency admissions to any hospital in England occurring within 30 days of the last, previous discharge from hospital after admission: indirectly standardised by age, sex, method of admission and diagnosis/procedure. The indicator is broken down into the following demographic groups for reporting: ● All years and female only, male only and both male and female (persons). ● <16 years and female only, male only and both male and female (persons). ● 16+ years and female only, male only and both male and female (persons) ● 16-74 years and female only, male only and both male and female (persons) ● 75+ years and female only, male only and both male and female (persons) Results for each of these groups are also split by the following geographical and demographic breakdowns: ● Local authority of residence. ● Region. ● Area classification. ● NHS and private providers. ● NHS England regions. ● Deprivation (Index of Multiple Deprivation (IMD) Quintiles, 2019). ● Sustainability and Transformation Partnerships (STP) & Integrated Care Boards (ICB) from 2016/17. ● Clinical Commissioning Groups (CCG) & sub-Integrated Care Boards (sub-ICB). All annual trends are indirectly standardised against 2013/14.

The 2008 National Hospital Discharge Survey (NHDS) collects medical and demographic information annually from a sample of hospital discharge records. Variables include patients' demographic characteristics (sex, age, race, marital status), date of discharge, source and type of admission, status at discharge, final diagnoses, surgical and nonsurgical procedures, dates of surgeries, and sources of payment. Information on hospital characteristics such as bed size, ownership, and region of the country is also included. The medical information is coded using the INTERNATIONAL CLASSIFICATION OF DISEASES, 9TH REVISION, CLINICAL MODIFICATION (ICD-9-CM).

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-Identified dataset contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data contains basic record level detail regarding the discharge; however, the data does not contain protected health information (PHI) under Health Insurance Portability and Accountability Act (HIPAA). The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

The National Hospital Discharge Survey (NHDS), conducted from 1965 to 2010, was a national probability survey designed to meet the need for information on characteristics of inpatients discharged from non-Federal short-stay hospitals in the United States. From 1988-2007 the NHDS collected data from a sample of approximately 270,000 inpatient records acquired from a national sample of about 500 hospitals. From 2008 to 2010 the sample size was reduced to 239. Only hospitals with an average length of stay of fewer than 30 days for all patients, general hospitals, or children’s general hospitals are included in the survey. Federal, military, and Department of Veterans Affairs hospitals, as well as hospital units of institutions (such as prison hospitals), and hospitals with fewer than six beds staffed for patient use, are excluded.

Beginning in 1988, two data collection procedures have been used in the survey. The medical abstract form and the automated data tapes contain items that relate to the personal characteristics of the patient. These items include age, sex, race, ethnicity, marital status, and expected sources of payment. Administrative items such as admission and discharge dates (which allow calculation of length of stay), as well as discharge status are also included. Medical information about patients includes diagnoses and procedures coded to the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM).

This table shows the low, high, and average percents of discharges related to a referenced DRG (diagnosis-related group) as a share of the total discharges from the top 100 common DRGs for hospitals in the Northwest region (Alaska, Idaho, Oregon, and Washington). The source of data for this table is FY2011 hospital charges file provided by the Centers for Medicare and Medicaid Services (CMS).

This dataset looks at 2013 and 2014 post discharge re-admission and care after patients leave the hospital for an acute or chronic illness by AMC (Academic Medical Centers), Hospital, Region and State.

Open data van de Nederlandse Zorgautoriteit

The National Hospital Discharge Survey provides data on the utilization of nonfederal short-stay hospitals. It is a continuous survey based on a sample of medical records of patients discharged from a national sample of these hospitals. The survey contains information on the patients' demographic characteristics (sex, date of birth, age, race, and marital status), dates of admission and discharge, discharge status, diagnoses, and surgery performed.

The dataset contains hospital inpatient discharge rates, charges, covered payments, charge-to-payment ratios for the 100 most common DRGs among hospitals in the Medicare Prospective Payment System.

In 1980, the average number of hospital discharges in Canada stood at some 14,366 per 100 thousand inhabitants. By 2021, this rate had decreased to around 7,620 per every 100 thousand population. This statistic depicts the rate of hospital discharges in Canada from 1980 to 2021.

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges.

This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

For more information visit: https://www.health.ny.gov/statistics/sparcs/

The California Office of Statewide Health Planning and Development (OSHPD) collects inpatient data from licensed hospitals in california. The dataset consist of a record for each inpatient discharged from a California licensed hospital, including general acute care, acute psychiatric, chemical dependency recovery, and psychiatric health facilities. Items recorded include type of care, demographics (some items are masked to protect privacy and confidentiality), admission details, length of stay, source(s) of payment, diagnosis, conditions and procedures. Because of the amount of data, the data is divided into three separate files; Los Angeles County, Southern California, Northern California.

The 2007 National Hospital Discharge Survey (NHDS) collects medical and demographic information annually from a sample of hospital discharge records. Variables include patients' demographic characteristics (sex, age, race, marital status), dates of admission and discharge, source and type of admission, status at discharge, final diagnoses, surgical and nonsurgical procedures, dates of surgeries, and sources of payment. Information on hospital characteristics such as bed size, ownership, and region of the country is also included. The medical information is coded using the INTERNATIONAL CLASSIFICATION OF DISEASES, 9TH REVISION, CLINICAL MODIFICATION (ICD-9-CM).

In 2023, among the *** million Medicare beneficiaries who had an inpatient hospital stay, *** million were discharged to formal post-acute care settings including: home health agencies, inpatient rehabilitation facilities, long-term acute care hospitals, and skilled nursing facilities. The majority (some *** million Medicare beneficiaries) were discharged to the community (without skilled home health care), which included the individual's home, assisted living facilities, and retirement communities.