This is a publication on Accident and Emergency (A&E) activity in English NHS hospitals and English NHS-commissioned activity in the independent sector. This annual publication covers the financial year ending March 2022. It contains final data and replaces the provisional data that are published each month. This is a joint publication between NHS Digital and NHS England. This collaboration enables data to be brought together from different sources enabling inclusion of a wider set of breakdowns and measures and a more complete picture to be presented. The data sources for this publication are the Emergency Care Data Set (ECDS) for2020-21 and 2021-22, HES A&E for activity prior to 2020-21 and the A&E Attendances and Emergency Admissions Monthly Situation Reports (MSitAE). This is the second year this report has been produced using ECDS in its submitted format, replacing the use of Hospital Episode Statistics (HES). Further information is available in the Data Quality Statement. The ECDS data set contains several new and additional reporting fields not previously available in HES A&E enabling new insights to be identified from data. Reported information based on these new splits and metrics presented within the report are presented as Experimental Statistics and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. This publication releases some high level analyses of both ECDS/HES and MSitAE data relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. It includes analysis by patient demographics, time spent in A&E, distributions by time of arrival and day of week, arriving by ambulance, performance times, waits for admission and re-attendances to A&E within 7 days. The following additional analyses are also included in this report: • Comparison of 4 hour and 12 hour waits between the four home nations, England, Scotland, Northern Ireland and Wales • A&E attendances by Index of Multiple Deprivation (IMD) • A&E attendances by ethnicity • Weekly variation in attendance activity during the pandemic, by department type

In 2021, there were approximately *** hospital admissions per 100,000 population in Turkey due to diabetes. Furthermore, in that year diabetes caused around *** admissions to hospital per 100,000 in Germany.

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.

This statistic presents the number of hospital admissions with a primary or secondary diagnosis of an eating disorder in England in 2021, by gender. Eating disorders are far more prevalent in women than in men. In 2021, over ************** women were admitted to hospital with anorexia compared to *** men.

The dataset contains information from a cohort of 799 patients admitted in the hospital for COVID-19, characterized with sociodemographic and clinical data. Retrospectively, from November 2020 to January 2021, data was collected from the medical records of all hospital admissions that occurred from March 1st, 2020, to December 31st, 2020. The analysis of these data can contribute to the definition of the clinical and sociodemographic profile of patients with COVID-19. Understanding these data can contribute to elucidating the sociodemographic profile, clinical variables and health conditions of patients hospitalized by COVID-19. To this end, this database contains a wide range of variables, such as: Month of hospitalization Sex Age group Ethnicity Marital status Paid work Admission to clinical ward Hospitalization in the Intensive Care Unit (ICU) COVID-19 diagnosis Number of times hospitalized by COVID-19 Hospitalization time in days Risk Classification Protocol Data is presented as a single Excel XLSX file: dataset.xlsx of clinical and sociodemographic characteristics of hospital admissions by COVID-19: retrospective cohort of patients in two hospitals in the Southern of Brazil. Researchers interested in studying the data related to patients affected by COVID-19 can extensively explore the variables described here. Approved by the Research Ethics Committee (No. 4.323.917/2020) of the Federal University of Santa Catarina.

After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations. This report shows facilities currently in suspense regarding CoP requirements due to being in a work plan or other related reasons is shown if any facilities are currently in suspense. These CCNs will not be included in the tab listing all other hospitals or included in any summary counts while in suspense. 01/05/2024 – As of FAQ 6, the following optional fields have been added to this report: total_adult_patients_hospitalized_confirmed_influenza total_pediatric_patients_hospitalized_confirmed_influenza previous_day_admission_adult_influenza_confirmed previous_day_admission_pediatric_influenza_confirmed staffed_icu_adult_patients_confirmed_influenza staffed_icu_pediatric_patients_confirmed_influenza total_adult_patients_hospitalized_confirmed_rsv total_pediatric_patients_hospitalized_confirmed_rsv previous_day_admission_adult_rsv_confirmed previous_day_admission_pediatric_rsv_confirmed staffed_icu_adult_patients_confirmed_rsv staffed_icu_pediatric_patients_confirmed_rsv 6/17/2023 - With the new 28-day compliance reporting period, CoP reports will be posted every 4 weeks. 9/12/2021 - To view other COVID-19 Hospital Data Coverage datasets, follow this link to view summary page: https://healthdata.gov/stories/s/ws49-ddj5 As of FAQ3, the following field are federally inactive and will no longer be included in this report: previous_week_personnel_covid_vaccinated_doses_administered total_personnel_covid_vaccinated_doses_none total_personnel_covid_vaccinated_doses_one total_personnel_covid_vaccinated_doses_all total_personnel previous_week_patients_covid_vaccinated_doses_one previous_week_patients_covid_vaccinated_doses_all

For English, see below This file contains: - the number of COVID-19 hospital and IC admissions per age group in the Netherlands, per week of hospital or IC admission and per week on which the data were reported to the NICE registry (https: //www.stichting-nice.nl). The numbers concern COVID-19 hospital and IC admissions since the first report in the Netherlands (27/02/2020) up to and including the most recent complete week of admission. The registration of the number of COVID-19 hospital and IC admissions may be lagging behind. This may result in the date of recording and the date of the report falling in a different calendar week. Hospital or ICU admissions from the most recent complete week of admission may have been reported in the current incomplete week and are therefore shown in this file. Hospital and ICU admissions from the most recent incomplete week are not included in this file but are censored with the value “NaN” (Not a number). The file is structured as follows: - One record per week of statistics for the Netherlands, even if there are no recordings or reports for the week in question. The numbers are then 0 (zero). -The stated date for statistics may relate to a hospital or IC admission date or the date on which the hospital reported a hospital or IC admission to the NICE registry. Description of the variables: Version: version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (Https://data.rivm.nl) . Version 2 update (August 9, 2022): - From August 9, 2022, new admissions of persons with a SARS-CoV-2 infection who were also admitted during a previous COVID-19 episode have been added to this open data file. For this reason, the number of withdrawals with retroactive effect is higher than in our previous files. The underestimation of admissions since the start of the pandemic to August 9, 2022 is less than 1%. A recording is counted as a new recording when a person with a SARS-CoV-2 infection has a recording date that is more than 90 days after the previous recording. Version 3 update (September 1, 2022): - From September 1, 2022, the data will no longer be updated every Wednesday, but on Tuesdays. - As of September 1, 2022, this dataset is split into two parts. The first part contains the dates from the start of the pandemic to October 3, 2021 (week 39) and contains "tm" in the file name. This data will no longer be updated. The second part contains the data from October 4, 2021 (week 40) and is updated every Tuesday. Version 4 update (November 24, 2022): - From November 24, 2022, the age group 0-14 years will be split into age groups 0-4, 5-9 and 10-14 years. This will be retroactively updated for the entire pandemic. Version 5 update (April 4, 2023): - From April 4, 2023, this file will be updated weekly on Tuesdays. The data is retroactively updated for the other days. Date_of_report: Date and time on which the data file was created by RIVM. Date_of_statistics_week_start: The date of the Monday - first day of that week - for which the numbers per week are presented. Week of hospital admission (variable Hospital_admission), week of IC admission (variable IC_admission), the week on which the hospital admission (variable Hospital_admission_notification) or IC admission was reported (variable IC_admission_notification) to the NICE registry. Age_group: Age group in years of the admitted or reported patients. Intervals every five years are used with the exception of 90 years and above (90+). Patients with an unknown age are added to 'Unknown'. Hospital_admission_notification: The number of new COVID-19 patients admitted to the NICE registry per age group [Age_group] per week on which the hospital admission was reported [Date_of_statistics_week_start]. Hospital_admission: The number of new COVID-19 patients admitted to hospital per age group [Age_group] per hospital admission week [Date_of_statistics_week_start] reported to the NICE registry. IC_admission_notification: The number of new COVID-19 patients reported to the NICE registry who were admitted to the ICU per age group [Age_group] per week on which the ICU admission was reported [Date_of_statistics_week_start]. IC_admission: The number of new COVID-19 patients reported to the NICE registry who have been admitted to the ICU per age group [Age_group] per ICU admission week [Date_of_statistics_week_start]. A patient can be admitted to hospital or ICU multiple times (see version 2 update). RIVM and the NICE registry have aligned the method for determining the most relevant admission date in such cases as much as possible, but the numbers may differ slightly from the data as presented by the NICE registry. A patient admitted to the ICU also counts in the hospital admission figures. Despite the fact that hospitals are asked to register COVID-19 patients several times a day, the registration of the number of patients may lag. As a result, the numbers for the past calendar week may still be incomplete (https://www.stichting-nice.nl). Corrections made in reports in the source system of the NICE registration by employees of hospitals can also lead to corrections in this database. In that case, numbers published by RIVM in the past may deviate from the numbers in this database. At the time of creation and publication, this file therefore always contains the most up-to-date data according to the source system of the NICE registration after processing by RIVM. -------------------------------------------------- --------------------------------------------- Covid-19 hospital and intensive care unit (ICU) admissions in the Netherlands by age group by hospital and ICU admission week and reporting week (according to NICE registration) This file contains: - the number of COVID-19 hospital and ICU admissions by age group in the Netherlands, per week of hospitalization or ICU admission and per week on which the data were reported to the NICE registry (https://www.stichting-nice.nl). The numbers concern COVID-19 hospital and ICU admissions since the first report in the Netherlands (27/02/2020) up to and including the most recent complete week of admission. The registration of the number of COVID-19 hospital and ICU admissions may be lagging behind. This may result in the date of recording and the date of the report falling in a different calendar week. Hospital or ICU admissions from the most recent complete week of admission may have been reported in the current incomplete week and are therefore shown in this file. Hospital and ICU admissions from the most recent incomplete week are not included in this file but are censored with the value “NaN” (Not a Number). The file is structured as follows: - A record per week of statistics for the Netherlands, even if there are no recordings or reports on the week in question. The numbers are then 0 (zero). -The stated date for statistics may relate to a hospital or ICU admission date or the date on which the hospital reported a hospital or ICU admission to the NICE registry. Description of the variables: Version: version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (Https://data.rivm.nl ). Version 2 update (August 9, 2022): - From August 9, 2022, new admissions of persons with a SARS-CoV-2 infection who were also admitted during a previous COVID-19 episode have been added to this open data file. For this reason, the number of withdrawals with retroactive effect is higher than in our previous files. The underestimation of admissions since the start of the pandemic to August 9, 2022 is less than 1%. A recording is counted as a new recording when a person with a SARS-CoV-2 infection has a recording date that is more than 90 days after the previous recording. Version 3 update (September 1, 2022): - From September 1, 2022, the data will no longer be updated every Wednesday, but on Tuesdays. - As of September 1, 2022, this dataset is split into two parts. The first part contains the dates from the start of the pandemic till October 3, 2021 (week 39) and contains "tm" in the file name. This data will no longer be updated. The second part contains the data from October 4, 2021 (week 40) and is updated every Tuesday. Version 4 update (November 24, 2022): - From November 24, 2022, the age group 0-14 years will be split into age groups 0-4, 5-9 and 10-14 years. This will be retroactively updated for the entire pandemic. Version 5 update (April 4, 2023): - From April 4, 2023, this file will be updated weekly on Tuesdays. The data has been retroactively updated for the other days. Date_of_report: Date and time on which the data file was created by the RIVM. Date_of_statistics_week_start: The date of the Monday - first day of that week - for which the numbers per week are presented. Week of hospital admission (variable Hospital_admission), week of ICU admission (variable IC_admission), the week on which the hospital admission (variable Hospital_admission_notification) or ICU admission was reported (variable IC_admission_notification) to the NICE registry. Age_group: Age group in years of the admitted or reported patients. Five-year intervals are used with the exception of 90 years and above (90+). Patients with an unknown age are added to 'Unknown'. Hospital_admission_notification: The number of new COVID-19 patients admitted to the NICE registry per age group [Age_group] per week on which the hospital admission was reported [Date_of_statistics_week_start]. Hospital_admission: The number of new COVID-19 patients admitted to hospital per age group [Age_group] per hospital admission week [Date_of_statistics_week_start] reported to the NICE registry. IC_admission_notification:

As of 9/12/2024, we will begin reporting on hospitalization data again using a new San Francisco specific dataset. Updated data can be accessed here. On 5/1/2024, hospitalization data reporting will change from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. A. SUMMARY Count of COVID+ patients admitted to the hospital. Patients who are hospitalized and test positive for COVID-19 may be admitted to an acute care bed (a regular hospital bed), or an intensive care unit (ICU) bed. This data shows the daily total count of COVID+ patients in these two bed types, and the data reflects totals from all San Francisco Hospitals. B. HOW THE DATASET IS CREATED Hospital information is based on admission data reported to the National Healthcare Safety Network (NHSN) and provided by the California Department of Public Health (CDPH). C. UPDATE PROCESS Updates automatically every week. D. HOW TO USE THIS DATASET Each record represents how many people were hospitalized on the date recorded in either an ICU bed or acute care bed (shown as Med/Surg under DPHCategory field). The dataset shown here includes all San Francisco hospitals and updates weekly with data for the past Sunday-Saturday as information is collected and verified. Data may change as more current information becomes available. E. CHANGE LOG9/12/2024 -Hospitalization data are now being tracked through a new source and are available here. 5/1/2024 - hospitalization data reporting to the National Healthcare Safety Network (NHSN) changed from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. 12/14/2023 – added column “hospitalreportingpct” to indicate the percentage of hospitals who submitted data on each report date. 8/7/2023 - In response to the end of the federal public health emergency on 5/11/2023 the California Hospital Association (CHA) stopped the collection and dissemination of COVID-19 hospitalization data. In alignment with the California Department of Public Health (CDPH), hospitalization data from 5/11/2023 onward are being pulled from the National Healthcare Safety Network (NHSN). The NHSN data is updated weekly and does not include information on COVID suspected (PUI) patients. 4/9/2021 - dataset updated daily with a four-day data lag.

For English, see below

Dit bestand bevat: - het aantal Covid-19 ziekenhuisopnames naar gemeente gebaseerd op gemeente van inschrijving van de patiënt, per datum van ziekenhuisopname en per datum waarop de gegevens zijn gemeld aan de NICE registratie (https://www.stichting-nice.nl). De aantallen betreffen Covid-19 ziekenhuisopnames sinds de eerste melding in Nederland (27/02/2020).

Het bestand is als volgt opgebouwd: - Een record per datum van statistiek, per gemeente van Nederland, ook als voor de betreffende gemeente geen opname of meldingen zijn. De aantallen zijn dan 0 (nul). - De genoemde datum voor statistiek kan betrekking hebben op een ziekenhuisopnamedatum of de datum dat het ziekenhuis een opname heeft gemeld aan de NICE registratie.

Beschrijving van de variabelen: Version: Versienummer van de dataset. Wanneer de inhoud van de dataset structureel wordt gewijzigd (dus niet de dagelijkse update of een correctie op record niveau), zal het versienummer aangepast worden (+1) en ook de corresponderende metadata in RIVMdata (https://data.rivm.nl). Versie 2 update (25 maart 2021): - In versie 2 van deze open data file worden meldingen met een registratiedatum na 27/02/2020, maar een ziekenhuisopnamedatum voor 27/02/2020 niet meer meegenomen.
Versie 3 update (20 januari 2022): - In versie 3 van dit bestand zijn records samengesteld volgens de gemeente herindeling van 1 januari 2022. Zie beschrijving van de variabele Municipality_code voor meer informatie. Versie 4 update (24 maart 2022): - In versie 4 van deze dataset zijn records samengesteld volgens de gemeente herindeling van 24 maart 2022. Zie beschrijving van de variabele Municipality_code voor meer informatie. Versie 5 update (9 augustus 2022): - Vanaf 9 augustus 2022 zijn nieuwe opnames van personen met een SARS-CoV-2 besmetting die tijdens een eerdere COVID-19 episode ook opgenomen zijn geweest, toegevoegd aan dit open databestand. Om deze reden valt het aantal opnames met terugwerkende kracht hoger uit dan in onze voorgaande bestanden. De onderschatting van het aantal opnames sinds het begin van de pandemie tot 9 augustus 2022 is minder dan 1%. Een opname wordt geteld als een nieuwe opname wanneer een persoon met een SARS-CoV-2 besmetting een opname datum heeft die meer dan 90 dagen na de voorgaande opname. Versie 6 update (1 september 2022): - Vanaf 1 september 2022 wordt de data niet meer iedere werkdag geüpdatet, maar op dinsdagen en vrijdagen. De data wordt op deze dagen met terugwerkende kracht bijgewerkt voor de andere dagen. - Vanaf 1 september 2022 is deze dataset opgesplitst in twee delen. Het eerste deel bevat de data vanaf het begin van de pandemie tot en met 3 oktober 2021 (week 39) en bevat ‘tm’ in de bestandsnaam. Deze data wordt niet meer geüpdatet. Het tweede deel bevat de data vanaf 4 oktober 2021 (week 40) en wordt iedere dinsdag en vrijdag geüpdatet. Versie 7 update (3 januari 2023): - In versie 7 van dit bestand zijn records samengesteld volgens de gemeente herindeling van 1 januari 2023. Deze gemeente herindeling is ook toegepast in het eerste deel van deze dataset dat ‘tm’ bevat in de bestandsnaam en de data bevat vanaf het begin van de pandemie tot en met 3 oktober 2021 (week 39). Zie beschrijving van de variabele Municipality_code voor meer informatie. Versie 8 update (4 april 2023): - Vanaf 4 april 2023 zal dit bestand wekelijks op dinsdag worden geüpdatet. De data wordt met terugwerkende kracht bijgewerkt voor de andere dagen.

Date_of_report: Datum en tijd waarop het databestand is aangemaakt door het RIVM.

Date_of_statistics: Datum van ziekenhuisopname (variabele Hospital_admission) of de datum waarop de ziekenhuisopname is gemeld aan de NICE registratie (variabele Hospital_admission_notification).

Municipality_code: Gemeentecode. Gemeentelijke indeling gebaseerd op postcode van de woonplaats van de SARS-CoV-2 positief geteste persoon, gecodeerd volgens CBS. Sinds de eerste publicatiedatum van 13 maart 2020 tot de versie 3 update van 20 januari 2022, hebben 2 gemeentelijke herindelingen plaatsgevonden. Tot 7 januari 2021 is dit bestand volgens de gemeente indeling van 2020. Vanaf 7 januari 2021 t/m 19 januari 2022 is dit bestand samengesteld volgens de gemeente indeling van 1 januari 2021: Gemeenten Appingedam, Delfzijl en Loppersum zijn samengevoegd tot de nieuwe gemeente Eemsdelta Gr. De gemeente Haaren is opgegaan in de gemeenten Oisterwijk, Tilburg, Vught en Boxtel (https://www.cbs.nl/nl-nl/onze-diensten/methoden/classificaties/overig/gemeentelijke-indelingen-per-jaar/indeling-per-jaar/gemeentelijke-indeling-op-1-januari-2021). Met de opdeling van Haaren is de veiligheidsregio Midden- en West-Brabant iets groter geworden, ten koste van veiligheidsregio Brabant-Noord. Vanaf 20 januari 2022 t/m 23 maart 2022 is dit bestand samengesteld volgens de gemeente indeling van 1 januari 2022. Gemeente Beemster is opgegaan in gemeente Purmerend. De gemeenten Heerhugowaard en Langedijk zijn samengevoegd tot gemeente Dijk en Waard. Gemeente Landerd is met gemeente Uden samengevoegd tot gemeente Maashorst. De gemeenten Boxmeer, Cuijk, Grave, Mill en Sint Hubert en Sint Anthonis zijn samengevoegd tot de gemeente Land van Cuijk (https://www.cbs.nl/nl-nl/onze-diensten/methoden/classificaties/overig/gemeentelijke-indelingen-per-jaar/indeling-per-jaar/gemeentelijke-indeling-op-1-januari-2022). Vanaf 24 maart 2022 t/m 31 december 2022 is dit bestand samengesteld volgens de gemeente indeling van 24 maart 2022. Gemeente Weesp is opgegaan in gemeente Amsterdam. Met deze indeling is de veiligheidsregio Gooi- en Vechtstreek kleiner geworden en de veiligheidsregio Amsterdam-Amstelland groter; GGD Amsterdam is groter geworden en GGD Gooi- en Vechtstreek is kleiner geworden (( https://www.cbs.nl/nl-nl/onze-diensten/methoden/classificaties/overig/gemeentelijke-indelingen-per-jaar/indeling-per-jaar/gemeentelijke-indeling-op-1-januari-2022) Vanaf 1 januari 2023 is dit bestand samengesteld volgens de gemeente indeling van 1 januari 2023. De gemeenten Brielle, Hellevoetsluis en Westvoorne zijn samen opgegaan in de nieuwe gemeente Voorne aan Zee (Gemeentelijke indeling op 1 januari 2023 (https://www.cbs.nl/nl-nl/onze-diensten/methoden/classificaties/overig/gemeentelijke-indelingen-per-jaar/indeling-per-jaar/gemeentelijke-indeling-op-1-januari-2023)).

Municipality_name: Naam van de gemeente.

Security_region_code: Veiligheidsregiocode.

Security_region_name: Naam van de veiligheidsregio. De veiligheidsregio is gebaseerd op de woonplaats van de patiënt. Dit is de naam van de veiligheidsregio’s zoals tot dusver gebruikt in diverse rapportages en verslagen van het RIVM, en kan iets afwijken van de naamgeving zoals aangegeven in de codelijst van CBS (zie link hierboven bij variabele Security_region_code). Zie ook: https://www.rijksoverheid.nl/onderwerpen/veiligheidsregios-en-crisisbeheersing/veiligheidsregios

Hospital_admission_notification: Het aantal nieuwe, bij de NICE registratie gemelde, COVID-19 patiënten dat in het ziekenhuis is opgenomen per datum waarop de ziekenhuisopname is gemeld [Date_of_statistics].

Hospital_admission: Het aantal nieuwe, bij de NICE registratie gemelde, COVID-19 patiënten dat in het ziekenhuis is opgenomen per ziekenhuisopnamedatum [Date_of_statistics]. Een patiënt kan meerdere keren in een ziekenhuis worden opgenomen.
Ondanks dat aan ziekenhuizen wordt gevraagd meerdere malen per week de COVID-19 patiënten te registeren, kan de registratie van het aantal patiënten achterlopen. Dit heeft als gevolg dat de aantallen van de afgelopen dagen nog onvolledig kunnen zijn (https://www.stichting-nice.nl).

Correcties die in meldingen in het bronsysteem van de NICE registratie worden gedaan door medewerkers van ziekenhuizen kunnen ook leiden tot correcties in dit databestand. Aantallen die in het verleden door het RIVM zijn gepubliceerd kunnen in dat geval afwijken van de aantallen in dit databestand. Dit bestand bevat op het moment van aanmaken en publicatie dus altijd de meest actuele gegevens volgens het bronsysteem van de NICE registratie.

Covid-19 hospital admissions (according to NICE registration), per municipality, per hospital admission date and notification date

This file contains: - The number of Covid-19 hospital admissions by municipality based on the patient's municipality of registration, by date of hospital admission and by date on which the data were reported to the NICE registry (https://www.stichting-nice.nl). The numbers concern Covid-19 hospital admissions since the first report in the Netherlands (27/02/2020).

The file is structured as follows: - A record per date of statistics, per municipality of the Netherlands, even if there are no recordings or notifications for the relevant municipality. The numbers are then 0 (zero). - The stated date for statistics may relate to a hospital admission date or the date on which the hospital reported an admission to the NICE registry.

Description of the variables: Version: Version number of the dataset. When the content of the dataset is structurally changed (so not the daily update or a correction at record level), the version number will be adjusted (+1) and also the corresponding metadata in RIVMdata (https://data.rivm.nl). Version 2 update (March 25, 2021): - In version 2 of this open data file, reports with a registration date after 27/02/2020, but a hospital admission date before 27/02/2020 are no longer included. Version 3 update (January 20, 2022): - In version 3 of this file, records are compiled according to the municipality reclassification of January 1, 2022. See description of the Municipality_code variable for more information. Version 4 update (March 24, 2022): - In version 4 of this dataset, records are compiled according to the municipality reclassification of March 24, 2022. See description of the Municipality_code variable

This publication reports on Admitted Patient Care activity in England for the financial year 2022-23. This report includes but is not limited to analysis of hospital episodes by patient demographics, diagnoses, external causes/injuries, operations, bed days, admission method, time waited, specialty, provider level analysis and Adult Critical Care (ACC). It describes NHS Admitted Patient Care Activity, Adult Critical Care activity and performance in hospitals in England. The purpose of this publication is to inform and support strategic and policy-led processes for the benefit of patient care and may also be of interest to researchers, journalists and members of the public interested in NHS hospital activity in England. The data sources for this publication are Hospital Episode Statistics (HES). It contains final data and replaces the provisional data that are released each month. HES contains records of all admissions, appointments and attendances for patients at NHS hospitals in England. The HES data used in this publication are called 'Finished Consultant Episodes', and each episode relates to a period of care for a patient under a single consultant at a single hospital. Therefore, this report counts the number of episodes of care for admitted patients rather than the number of patients. This publication shows the number of episodes during the period, with breakdowns including by patient's age, gender, diagnosis, procedure involved and by provider. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk. Author: Secondary Care Open Data and Publications, NHS England. Lead Analyst: Emily Michelmore

The indicator measures the number of emergency admissions to hospital in England for acute conditions such as ear/nose/throat infections, kidney/urinary tract infections and angina, among others, that could potentially have been avoided if the patient had been better managed in primary care. This indicator aims to measure the reduction in emergency admissions for conditions that should usually be managed outside hospital. Where an individual has been admitted for one of these conditions, it may indicate that they have deteriorated more than should have been allowed by the adequate provision of healthcare in primary care or as a hospital outpatient. Legacy unique identifier: P01757

This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

Data available from: 2001

Status of the figures:

2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

2020 and earlier: All available figures are definite.

Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

When will new figures be published? New figures will be published in December 2025.

Finished consultant episodes for dental caries among children aged 0 to 5, rate per 100,000.Following Census 2021, the Office for National Statistics (ONS) carried out reconciliation and rebasing of the mid year population estimates (MYE) it produces. This process happens every 10 years following the census. The official population estimates for mid 2012 to mid 2020 have been revised, to incorporate the data now available from Census 2021. The data for this indicator has been revised to use the rebased population estimates from 2012 onwards.RationaleDental caries (tooth decay) and periodontal (gum) disease are the most common dental pathologies in the UK. Tooth decay has become less common over the past two decades, but is still a significant health and social problem. It results in destruction of the crowns of teeth and frequently leads to pain and infection. Dental disease is more common in deprived areas, compared to affluent, communities. The indicator is a good direct measure of dental health and an indirect, proxy measure of child health and diet.Definition of numeratorFinished consultant episodes for all persons aged 0 to5 years with primary operation F09 or F10 and primary diagnosis codesK021, K025, K028, K029, K040, K045, K046 or K047.Definition of denominatorLocal authority figures: Mid-year population estimates: Single year of age and sex for local authorities in England and Wales; estimated resident population (ages 0-5 years). Commencing April 2014, geographical references are taken from 2011 census information.

Caveats No assumptions can be made about the method of anaesthesia provided for these procedures, but it is likely that the majority of episodes involved general anaesthetic. It is possible that different coding protocols are applied in some sites, which could explain some of the variation. In some instances, the data are an underestimate of the number of episodes, as the Community Dental Service may provide the extraction service in hospital premises, but the episodes may not be included in hospital data recording.

Important: NHS Digital identified a data quality issue affecting HES data for East Sussex Healthcare NHS Trust (RXC) in 2018/19. Approximately 85,000 records erroneously had all diagnosis and procedure codes removed. Therefore, PHE did not publish values for indicators based on HES data for areas that had more than 10% of patients from that area with missing codes from RXC in 2018/19. Areas with 1–10% of patients with missing codes from RXC have been flagged to be treated with caution. For more details, see HES Data Quality Notes.

Important: NHS England identified a data quality issue affecting Frimley Health Foundation Trust in 2022–2023. The Trust did not submit HES data for June 2022 to March 2023. Therefore, values have not been published based on HES data for areas that had over 10% of hospital patients from an area treated at Frimley Health Foundation Trust in 2021–2022. Areas with 1–10% of patients treated at the Trust in 2021–2022 have been flagged to be treated with caution.

In 2023, NHS England announced a requirement for Trusts to report Same Day Emergency Care (SDEC) to the Emergency Care Data Set (ECDS) by July 2024. Early adopter sites began reporting SDEC to ECDS from 2021/22, with other Trusts changing their reporting in 2022/23 or 2023/24. Some Trusts had previously reported this activity as part of the Admitted Patient Care data set. Moving to ECDS may reduce the number of admissions reported for this indicator. NHSE has advised that it is not currently possible to accurately identify SDEC in existing data flows. The impact of the change is expected to vary by diagnosis, with indicators related to injuries and external causes potentially most affected.

When considering whether SDEC recording practice has reduced the number of admissions reported for this indicator at the local level, please refer to the list of sites reporting SDEC to ECDS.

Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: Please note that data for the 30th of May 2023 is missing from this dataset.If you are downloading this data set as a CSV please follow these steps to sort the dataset by date.1. Click the 'Download' button.2. In the download pane that opens on the left, click the 'Download' button under CSV. This should be the first option.3. Open the file.4. Highlight column D by click 'D'.5. In the ribbon, in the Editing group click 'Sort & Filter'.6. From the drop down menu that appears select the first option to sort from oldest to newest.7. In the pop-up window that appears make sure that 'Expand the selection' is selected.8. Click 'Sort', the dataset will now be sorted by date. See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021.** Between 14th May 2021 and 29th July 2021 only the fields 'Number of confirmed COVID-19 cases Admitted on site' (SUM_number_of_confirmed_covid_19_ca) and 'Number of new COVID-19 cases confirmed in the past 24 hrs' (SUM_number_of_new_covid_19_cases_co) in this service were updated.The fields 'Number of New Admissions COVID-19 Positive previous 24hrs' (SUM_no_new_admissions_covid19_p) and 'Number of Discharges COVID-19 Positive previous 24hrs' (SUM_no_discharges_covid19_posit) have no data during this period of time. **Detailed dataset containing a range of COVID-19 related indicators for Acute Hospitals in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of 29 Acute Hospitals. Data has been provided by the HSE Performance Management Improvement Unit (PMIU).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.