20 datasets found
  1. England: Hospital A&E attendees seen within four hours 2011-2024, by month

    • statista.com
    Updated Nov 21, 2024
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    Statista (2024). England: Hospital A&E attendees seen within four hours 2011-2024, by month [Dataset]. https://www.statista.com/statistics/1071036/england-monthly-hospital-aande-waiting-times/
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    Dataset updated
    Nov 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2011 - Oct 2024
    Area covered
    United Kingdom, England
    Description

    In October 2024, only 58 percent of patients who attended a hospital accident and emergency (A&E) department in England were seen within four hours. This is among the lowest monthly share of attendees seen within four hours in the provided time interval and is well below the target; that 95 percent of patients in A&E should be seen within fours of arrival. The last month in which the four-hour target was met was in June 2013. As shown in the graph, the share of patients seen within four hours has been decreasing, although it shows signs of increasing again. The equivalent data for waiting times in all A&Es can be found here.

  2. Median wait time for treatment in A&E in England 2011-2023

    • statista.com
    Updated Sep 20, 2023
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    Statista (2023). Median wait time for treatment in A&E in England 2011-2023 [Dataset]. https://www.statista.com/statistics/488211/average-minutes-waiting-in-accident-and-emergency-nhs-united-kingdom/
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    Dataset updated
    Sep 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, England
    Description

    In March 2023, a patient in an Accident and Emergency in England would spend approximately 70 minutes waiting before treatment would begin. After the wait times dropped due to COVID-19 effects, it reached a record high of 81 minutes in May 2021 and November 2021. The median wait time for treatment has been fluctuating since the pandemic began in March 2020.

    Substantial waiting times experienced by patients

    In the first quarter of 2021/2022 in England 83.4 percent of patients who attended A&E were admitted, transferred or discharged within four hours. This is below the NHS’s target that 95 percent of attendees to A&E should be seen within four hours. Since 2011, the share of patients seen within four hours has been declining. In addition, since 2016 there has been a marked increase in examples of patients waiting for more than twelve hours at A&E to be admitted, with a recorded high of 7,161 individuals in 2020/21 third quarter.

    Increased number of attendances

    The reasons behind the increased waiting times and the missed treatment targets could be partially explained by the increased number of people attending A&E. There were over 6.1 million attendances to the A&E department in England in the first quarter of 2021/22. This figure has been increasing since 2012, which means there is a greater strain on emergency services across the country. The large drop in number of attendances is reflected in wait times and with number of attendances rebounding again, wait times have also increased.

  3. g

    Performance against waiting times targets by hospital

    • statswales.gov.wales
    json
    Updated Mar 20, 2025
    + more versions
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    (2025). Performance against waiting times targets by hospital [Dataset]. https://statswales.gov.wales/Catalogue/Health-and-Social-Care/NHS-Hospital-Waiting-Times/emergency-department/performanceagainst4hourwaitingtimestarget-by-hospital
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    jsonAvailable download formats
    Dataset updated
    Mar 20, 2025
    Description

    A widened scope of emergency department performance statistics are now published on the National Collaborative Commissioning Unit (NCCU) website, as management. This includes measures on the time from patient arrival to triage, the time from patient arrival to contact with a clinical decision maker and analysis of the patient’s discharge destination when they leave the emergency department. These will be updated every month on the same day as this National Statistics publication. For the March 2017 data onwards, there will be a new approach to publishing the emergency departments waiting times data: Prior to August 2012 data, the monthly emergency departments waiting times data was published by Welsh Government as official statistics in a Statistical Release, with more detailed data on StatsWales. A target around the eradication of 12 hour or more waits in all emergency care facilities from April 2013 onwards was introduced in the NHS Wales Delivery Framework for 2013-14, therefore data on the 12 hour target is not available before this date. Until April 2012, data was submitted via SITREPS on a daily and weekly basis. The quality of the daily reported data was not robust enough for publication, therefore data was taken from the validated weekly reports to ensure greater reliability. As a result, the information presented is based on a four/five weekly cycle rather than calendar months. The number of weeks in any given cycle is based on how many Mondays fall between the end of the previous cycle and the end of the month. It is the week end date, always a Monday, which is used to determine the 'month' a particular weekly report belongs to. Months consisting of a 5 week reporting period have a note next to them. Data Prior to January 2013 will not be directly comparable with data for January 2013 onwards due to a change in methodology. See notes in March 2013 release for more details (January 2013). For August 2012 to February 2017 data, the monthly data was published by Digital Health and Care Wales (DHCW) on their website as management information. For March 2017 data onwards the monthly data is published on StatsWales with the DHCW publication being discontinued. Data for other emergency departments/minor injury units is only shown from April 2012 onwards as this information was not collected through SITREPS. For the January to July 2012 data, Betsi Cadwaladr University LHB was not able to fully implement the change for all months and Cardiff and Vale University LHB was only able to implement it for 26 to 31 January, but have fully implemented it from the February 2012 data. (Cardiff and Vale University informed us that they had to develop and test its systems and train users to ensure a robust collection around clinical exclusions to comply with the new EU compliance guidance. This was completed late in January.) Therefore the Wales figures for December 2011 to July 2012 are likely to be lower than expected. There are some technical changes to emergency department reporting, that have been implemented from December 2011 around clinical and operational exclusions. From December 2011, the guidance below now applies in Wales. So, the two situations below will no longer be counted as a breach of the targets: If a clinician decides that the safest place for a patient is the emergency department, the patient should remain there until it is safe to move them; and patients should not be admitted solely to avoid a breach of the targets. Clinicians should admit patients only to appropriate facilities and only when it is appropriate to do so. For the December 2011 data, Cardiff and Vale University and Betsi Cadwaladr University LHBs were not able to implement the change to the guidance around clinical exclusions.

  4. England: A&E attendees seen within four hours 2011-2024, by month

    • statista.com
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    Statista, England: A&E attendees seen within four hours 2011-2024, by month [Dataset]. https://www.statista.com/statistics/1071035/england-monthly-aande-waiting-times/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2011 - Oct 2024
    Area covered
    United Kingdom
    Description

    In October 2024, around 73 percent of patients who attended any A&E department (including major A&E, single specialty, and other A&E/minor injury units) in England were seen in four hours or less. This was well below the NHS operational standard, which states that 95 percent of attendees to an A&E department should be seen within four hours. The equivalent data for waiting times purely in hospital A&Es can be found here.

  5. Monthly A&E Activity and Waiting Times

    • find.data.gov.scot
    csv
    Updated Nov 7, 2023
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    Public Health Scotland (2023). Monthly A&E Activity and Waiting Times [Dataset]. https://find.data.gov.scot/datasets/19594
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    csv(0.1548 MB), csv(2.0622 MB), csv(9.1207 MB), csv(1.99 MB), csv(7.3399 MB), csv(7.9336 MB), csv(46.5464 MB), csv(0.0018 MB)Available download formats
    Dataset updated
    Nov 7, 2023
    Dataset provided by
    Public Health Scotland
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    On 2 May 2023, this release was updated to include additional data for demographics, referral and when people attend. Please note that discharge destination is now in a separate file and that some of the variable names in the monthly attendance and waiting times data have changed to better align them between data releases. Weekly A&E open data can now be found here. This release by Public Health Scotland (PHS), provides a monthly update of key statistics on attendances at Accident & Emergency Departments (A&E) across Scotland. The information includes trends in the number of attendances and proportion waiting over 4, 8 and 12 hours, and from May 2023 this release was expanded to include data on demographics, when patients attend, referral source, discharge destination and multiple attenders. Further information on A&E services across Scotland can be found here.

  6. g

    A&E Waiting Times (Apr2008 to Sep2009)

    • statswales.gov.wales
    • statscymru.llyw.cymru
    Updated Nov 1, 2009
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    (2009). A&E Waiting Times (Apr2008 to Sep2009) [Dataset]. https://statswales.gov.wales/Catalogue/Health-and-Social-Care/NHS-Hospital-Waiting-Times/emergency-department/Pre-October-2009/timespentinaccidentandemergencydepartments-apr08sep09-4hourtarget
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    Dataset updated
    Nov 1, 2009
    Description
    1. Situation Reporting system (SITREPS) was introduced in December 2000 and data is submitted by NHS Trusts in Wales. It is a "real time" data collection and reporting system which involves the collection of key indicators to help determine the extent of emergency pressures on NHS organisations and their performance against key targets. These include information about the length of time patients wait in hospital emergency care facilities, the subject of this table. A review of SITREPS in early 2006 resulted in the issue to NHS Trusts of a revised set of indicators and guidance for reporting. These changes were implemented from mid-May 2006. Therefore to present a consistent time series this table includes information from June 2006 onwards. 2. The figures in this table represent the total time spent in a hospital emergency care facility from arrival until admission, transfer or discharge. They do not include planned follow-up attendances agreed or requested by a clinician. 3. The figures in this table relate to all patients, including paediatric patients. A paediatric patient is defined as a patient up to and including the age of 16 years. 4. Where a patient is transferred from A&E to an interface facility, the clock on the time spent in A&E departments only stops if the environment in that facility meets the minimum criteria (detailed below). Where the criteria is not met, the facility is considered to be an extension of the A&E department and is subject to the waiting time target. Interface facilities, which can include observation wards, medical/surgical assessment wards, clinical decision units, short stay admission wards etc, constitutes a ward only when the patient has:the same privacy and dignity as other inpatient wards in the hospital; access to toilet and washing facilities; no staff or public thoroughfare through the area; facilities to securely store their belongings; sufficient space between beds to allow visitors to be seated in comfort; provision of hot meals and appropriate access.
  7. g

    Number of attendances in NHS Wales emergency departments by age band, sex...

    • statswales.gov.wales
    json
    Updated Mar 20, 2025
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    (2025). Number of attendances in NHS Wales emergency departments by age band, sex and site [Dataset]. https://statswales.gov.wales/Catalogue/Health-and-Social-Care/NHS-Hospital-Waiting-Times/emergency-department/emergencyattendances-by-age-sex-site
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    jsonAvailable download formats
    Dataset updated
    Mar 20, 2025
    Area covered
    Wales
    Description

    The data presented in this table is for contextual purposes only as it does not include attendances for some minor injuries units in the Betsi Cadwaladr health board, where patient-level data cannot be obtained on a consistent basis as all other hospitals. Therefore the total number of attendances will be lower than those presented in the NHS Activity and Performance statistical release and associated StatsWales tables, as attendances in these publications are based on aggregated data that is collected from all hospitals. A widened scope of emergency department performance statistics are now published on the National Collaborative Commissioning Unit (NCCU) website, as management. This includes measures on the time from patient arrival to triage, the time from patient arrival to contact with a clinical decision maker and analysis of the patient’s discharge destination when they leave the emergency department. These will be updated every month on the same day as this National Statistics publication. Data Prior to January 2013 will not be directly comparable with data for January 2013 onwards due to a change in methodology. See notes in March 2013 release for more details (January 2013). While there are some small numbers in the data collected and presented, the information is not considered to be sensitive in nature and there is no identifying information presented.

  8. Patients waiting 12 hours or more in A&E 2015-2022

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Patients waiting 12 hours or more in A&E 2015-2022 [Dataset]. https://www.statista.com/statistics/1361149/patients-waiting-twelve-hours-more-aande/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of patients waiting twelve hours or more has dramatically increased in recent years. In 2022, around 347,707 patients waited twelve hours or more compared with 1,306 in 2015.

    NHS waiting times Waiting times in the NHS have become increasingly high in recent years, especially starting the winter of 2022 with rates of hospitalization due to influenza surpassing those due to COVID-19. A national outbreak of Strep A infections put additional strain on the health service. Despite the beginning of the COVID-19 pandemic in 2020, the median wait-times have far outpaced the peak reached in September 2020 of 48 minutes.

    Staff shortages The NHS was the worlds 7th largest employer in 2022, employing more than 1.3 million individuals. Due to increasingly difficult working conditions and disputes over pay, the NHS is struggling to fill vacancies and had more than 110,000 in December 2021. Additionally, expenditure on staff as a share of total expenditure has fallen in recent years. A survey conducted in December 2021 found that more than 30 percent of NHS staff had thought about leaving the organization. 2022 and 2023 saw a record number of strikes across the UK in various sectors. Support for the strikes has generally been high, but none higher than support for NHS nurses who enjoyed 64 percent of public support as of November 2022.

  9. d

    Hospital Accident & Emergency Activity

    • digital.nhs.uk
    Updated Sep 21, 2023
    + more versions
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    (2023). Hospital Accident & Emergency Activity [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity
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    Dataset updated
    Sep 21, 2023
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2022 - Mar 31, 2023
    Description

    This publication looks at Accident and Emergency activity in England for the financial year 2022-23. It describes NHS accident and emergency activity and performance in hospitals in England. The data sources for this publication are the Emergency Care Data Set (ECDS) and Emergency Admissions Monthly Situation Reports (MSitAE) relating to A&E attendances in NHS hospitals, minor injury units and walk-in centres. The report 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 reattendances to A&E within 7 days. 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 Known Data Quality Issues: Royal Cornwall Hospitals NHS Trust (REF) - Due to a system configuration issue which the supplier has been unable to resolve, since January 2023, records which have an NHS Number Status Indicator of '02' are missing the data items Person Birth Date, Organisation Code of Residence and Postcode in submissions from Royal Cornwall Hospitals NHS Trust (REF). This may cause a reduction in certain record counts in this publication and will impact the data quality score for RCHT. Contact details Author: Secondary Care Open Data and Publications, NHS England Responsible Statistician: Emily Michelmore Email: enquiries@nhsdigital.nhs.uk Press enquiries should be made to: Media Relations Manager: telephone 0300 303 3888

  10. h

    A granular assessment of the day-to-day variation in emergency presentations...

    • healthdatagateway.org
    • web.dev.hdruk.cloud
    unknown
    Updated Mar 13, 2024
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158) (2024). A granular assessment of the day-to-day variation in emergency presentations [Dataset]. https://healthdatagateway.org/dataset/175
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    unknownAvailable download formats
    Dataset updated
    Mar 13, 2024
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    The acute-care pathway (from the emergency department (ED) through acute medical units or ambulatory care and on to wards) is the most visible aspect of the hospital health-care system to most patients. Acute hospital admissions are increasing yearly and overcrowded emergency departments and high bed occupancy rates are associated with a range of adverse patient outcomes. Predicted growth in demand for acute care driven by an ageing population and increasing multimorbidity is likely to exacerbate these problems in the absence of innovation to improve the processes of care.

    Key targets for Emergency Medicine services are changing, moving away from previous 4-hour targets. This will likely impact the assessment of patients admitted to hospital through Emergency Departments.

    This data set provides highly granular patient level information, showing the day-to-day variation in case mix and acuity. The data includes detailed demography, co-morbidity, symptoms, longitudinal acuity scores, physiology and laboratory results, all investigations, prescriptions, diagnoses and outcomes. It could be used to develop new pathways or understand the prevalence or severity of specific disease presentations.

    PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

    Electronic Health Record: University Hospital Birmingham is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

    Scope: All patients with a medical emergency admitted to hospital, flowing through the acute medical unit. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards and readmissions), physiology readings (NEWS2 score and clinical frailty scale), Charlson comorbidity index and time dimensions.

    Available supplementary data: Matched controls; ambulance data, OMOP data, synthetic data.

    Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

  11. England: Hospital providers with the longest A&E waiting times in Q4 2018/19...

    • statista.com
    Updated Nov 30, 2023
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    England: Hospital providers with the longest A&E waiting times in Q4 2018/19 [Dataset]. https://www.statista.com/statistics/523304/emergency-department-wait-over-four-hours-by-hospital-provider-england/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom, England
    Description

    In the fourth quarter of 2018/19, less than 63 percent of patients who attended the accident and emergency (A&E) department in the Nottingham University Hospitals NHS Trust were seen within four hours of their arrival. Nottingham University Hospitals was the provider with the lowest share of patients seen within four hours in this time period, and as with the rest of the providers shown in the chart, well below the NHS target that 95 percent of patients should be seen within four hours of arrival to A&E.

  12. HES Accident and Emergency data for CPRD Aurum

    • healthdatagateway.org
    unknown
    Updated Sep 10, 2020
    + more versions
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    NHS Digital (2020). HES Accident and Emergency data for CPRD Aurum [Dataset]. http://doi.org/10.48329/2qy5-xx60
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    unknownAvailable download formats
    Dataset updated
    Sep 10, 2020
    Dataset provided by
    NHS Digitalhttps://digital.nhs.uk/
    National Health Servicehttps://www.nhs.uk/
    Authors
    NHS Digital
    License

    HTTPS://CPRD.COM/DATA-ACCESSHTTPS://CPRD.COM/DATA-ACCESS

    Description

    CPRD Aurum linked Hospital Episode Statistics Accident and Emergency (HES A&E) data consists of individual records of patient care administered in the accident and emergency setting in England. These data are a subset of national A&E data collected by NHS England to monitor the national standard that 95% of patients attending A&E should wait no longer than 4 hours from arrival to admission, transfer or discharge. A&E data are submitted by A&E providers of all types in England. Data collected includes details about patients’ attendance, outcomes of attendance, waiting times, referral source, A&E diagnosis, A&E treatment (drugs prescribed not recorded), A&E investigations and Health Resource Group. HES A&E may be used to clarify the health care pathway, to quantity health resource use and costs in the emergency setting, and to assess variations in the uptake of emergency services over time.

  13. d

    Provisional Accident and Emergency Quality Indicators for England

    • digital.nhs.uk
    Updated May 9, 2024
    + more versions
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    (2024). Provisional Accident and Emergency Quality Indicators for England [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/provisional-accident-and-emergency-quality-indicators-for-england
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    Dataset updated
    May 9, 2024
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Mar 1, 2022 - Mar 31, 2024
    Area covered
    England
    Description

    Provisional Accident and Emergency Quality Indicators for England, March 2024, by provider The measures included in this publication report on data coverage in ECDS compared with the emergency monthly situation reports MSitAE published by NHS England and NHS Improvement. They also report statistics for total time in A&E, time to assessment, time to treatment, A&E attendances that left before treatment and unplanned reattendances within 7 days. Each report contains national figures and provider level figures. From the January 2023 release, the format of the publication was updated to open data format following a review and consultation. We are continuing to improve publications, please let us know if you have any feedback using the survey link below. Please send queries or feedback via email to enquiries@nhsdigital.nhs.uk Author: Secondary Care Open Data and Publications, NHS England Lead Analyst: Karl Eichler

  14. d

    Accident and Emergency Attendances in England - 2008-2009, Experimental...

    • digital.nhs.uk
    pdf, xls
    Updated Jan 26, 2010
    + more versions
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    (2010). Accident and Emergency Attendances in England - 2008-2009, Experimental statistics [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/hospital-accident--emergency-activity
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    xls(1.7 MB), pdf(808.8 kB), pdf(148.4 kB), pdf(29.8 kB)Available download formats
    Dataset updated
    Jan 26, 2010
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Apr 1, 2008 - Mar 31, 2009
    Area covered
    England
    Description

    Please note (05/02/2014): The following correction was made to the Accident and Emergency Attendances in England (Experimental Statistics) 2008-09 report on 5 February 2014. A labelling error was found in charts 4.2 and 4.3; values were labelled as being for patients aged 100+, when this should have read 101+, these labels have been corrected. This is the second annual publication of the Accident and Emergency (A&E) Attendance data within Hospital Episodes Statistics (HES). It covers the period April 2008 to March 2009 and draws on nearly 13.8 million detailed records of attendances at major A&E departments, single specialty A&E departments, minor injuries units and walk-in centres in England. Publishing the A&E HES data, as experimental statistics, enables initial conclusions to be presented for discussion and aims to promote and highlight the uses of this potentially rich data set. During the period covered by this publication, not all providers have completed data submissions and data quality is poor in some cases. The publication also includes analysis of the A&E HES data compared to the Quarterly Monitoring of Accident and Emergency (QMAE) return, the official source of A&E information, to highlight areas for further investigation. NHS organisations will be able to review their own data to ascertain the extent to which their local trend follows the national pattern. This can be done by using the accompanying interactive spreadsheet tool available above A&E Attendances - Provider level analysis (Experimental statistics) 2008-09.xls. The full report and accompanying tables are also available on our dedicated website HESonline, along with inpatient, outpatient and maternity data.

  15. c

    Emergency Department Survey, 2004-2005

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
    + more versions
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    Healthcare Commission (2024). Emergency Department Survey, 2004-2005 [Dataset]. http://doi.org/10.5255/UKDA-SN-5169-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Picker Institute Europe
    Authors
    Healthcare Commission
    Time period covered
    Jul 1, 2004 - Sep 1, 2004
    Area covered
    England
    Variables measured
    Individuals, National
    Measurement technique
    Postal survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.

    The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.

    Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.

    History of the programme

    The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.

    Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.


    The Emergency Department Survey was designed to provide actionable feedback to each participating trust on patients’ views of the care they had received in Accident and Emergency departments in England, as well as providing the Healthcare Commission with patient-focused indicators to feed into the 2004-2005 performance ratings for acute and specialist NHS trusts.

    The Emergency Department Survey was conducted between July and September 2004, but is part of the 2004-2005 survey programme, hence its title and date.
    Main Topics:

    Topics covered included: mode of transport used to get to emergency department; courtesy of reception staff; priority level assigned; treatment, tests and advice received; whether sufficient information was given; whether doctors and nurses listened to what the patient had to say; whether patient had confidence in medical staff; whether patient was treated with respect and their privacy observed; pain experienced; waiting time; outcome; overall rating of care received and respondents' demographic characteristics.

  16. w

    Emergency Department Activity

    • data.wu.ac.at
    html
    Updated Aug 26, 2014
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    ISD Scotland (2014). Emergency Department Activity [Dataset]. https://data.wu.ac.at/odso/data_gov_uk/MTk1MjcwZWQtNTM5ZC00ZTA3LTlhMDMtZDgwMWEzNzE3ODIw
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    htmlAvailable download formats
    Dataset updated
    Aug 26, 2014
    Dataset provided by
    ISD Scotland
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    • Attendances by site type and attendance category (Scotland and NHS Board of treatment).

    • Attendance and admission rate split by age band and gender (Scotland and NHS Board of treatment).

    • Attendance rates for T10 HEAT target (Scotland and NHS board of treatment)

    • Quarterly release of total attendances and attendances and 4 hour waiting times (Scotland, NHS Board of treatment and location of treatment)

    Source agency: ISD Scotland (part of NHS National Services Scotland)

    Designation: Official Statistics not designated as National Statistics

    Language: English

    Alternative title: Emergency Department Activity

  17. Leading busiest hospitals in England 2022/23, by number of admissions

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Leading busiest hospitals in England 2022/23, by number of admissions [Dataset]. https://www.statista.com/statistics/504252/leading-busy-hospitals-ranked-by-number-of-admissions-england-uk/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England, United Kingdom
    Description

    During the financial year 2022/23, the busiest hospital provider in England was the University Hospitals Birmingham Foundation Trust with over 333 thousand admissions. This trust encompasses four hospitals in the Birmingham area, one of the largest urban areas in England. The second busiest trust this year was the Manchester University NHS Foundation Trust with approximately 298 thousand admissions.

    Accident and emergency admissions

    From April to June 2023, there were around 6.5 million accident and emergency (A&E) attendees (including at A&E departments not in hospitals) in England. After the drop in A&E attendances during the COVID-pandemic, numbers have risen again to previous levels, with a trend towards an increasing number of individuals seeking emergency care. Over three percent of A&E attendees in England in 2022/23 were first diagnosed with a sprained ankle, knee, wrist, or foot, and over four percent were diagnosed with a respiratory infection. Furthermore, 7.4 percent were found to have ‘no abnormality detected’ which could be detrimental to a service that is already stretched.

    Waiting too long

    Over the last few years in the A&E department, the NHS has been falling behind the target that 95 percent of patients should be seen within four hours of arrival. The last time this target was reached was back in July 2015. Not just the A&E department, but other services also require lengthy waits. It is no wonder that the majority of respondents surveyed were fairly or very dissatisfied with the length of wait for many aspects of NHS care. Moreover, in general, levels of satisfaction with the way NHS runs is at an all time low.

  18. d

    Provisional Accident and Emergency Quality Indicators - England,...

    • digital.nhs.uk
    pdf, xls
    Updated Apr 27, 2012
    + more versions
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    (2012). Provisional Accident and Emergency Quality Indicators - England, Experimental statistics by provider for December 2011 [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/provisional-accident-and-emergency-quality-indicators-for-england
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    pdf(51.1 kB), xls(2.0 MB), pdf(145.0 kB)Available download formats
    Dataset updated
    Apr 27, 2012
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Dec 1, 2011 - Dec 31, 2011
    Area covered
    England
    Description

    In April 2011 a new set of clinical quality indicators was introduced to replace the previous four hour waiting time standard, and measure the quality of care delivered in A&E departments in England. Further details on the background and management of the quality indicators are available from the Department of Health (DH) website. This is the ninth publication of data on the Accident and Emergency (A&E) clinical quality indicators, drawn from A&E data within provisional Hospital Episode Statistics (HES). These data relate to A&E attendances in December 2011 and draw on 1.36 million detailed records of attendances at major A&E departments, single speciality A&E departments (e.g. dental A&Es), minor injury units and walk-in centres in England. This report sets out data coverage, data quality and performance information for the following five A&E indicators: Left department before being seen for treatment rate Re-attendance rate Time to initial assessment Time to treatment Total time in A&E Publishing these data will help share information on the quality of care of A&E services to stimulate the discussion and debate between patients, clinicians, providers and commissioners, which is needed in a culture of continuous improvement. These A&E HES data are published as experimental statistics to note the shortfalls in the quality and coverage of records submitted via the A&E commissioning data set. The data used in these reports are sourced from Provisional A&E HES data, and as such these data may differ to information extracted directly from Secondary Uses Service (SUS) data, or data extracted directly from local patient administration systems. Provisional HES data may be revised throughout the year (for example, activity data for April 2011 may differ depending on whether they are extracted in August 2011, or later in the year). Indicator data published for earlier months have not been revised using updated HES data extracted in subsequent months. The data presented here represent the output of the existing A&E Commissioning Dataset (CDS V6 Type 010). It must be recognised that these data will not exactly match the data definitions for the A&E clinical quality indicators set out in the guidance document A&E clinical quality indicators: Implementation guidance and data definitions (external link). The DH is currently working with Information Standards Board to amend the existing CDS Type 10 Accident and Emergency to collect the data required to monitor the A&E indicators. A&E HES data are collected and published by the NHS Information Centre for Health and Social Care. The data in this report are secondary analyses of HES data produced by the Urgent & Emergency Care team, Department of Health. A&E HES data are published as experimental statistics to note the known shortfalls in the quality of some A&E HES data elements. The published information sets out where data quality for the indicators may be improved by, for example, reducing the number of unknown values (e.g. unknown times to initial assessment) and default values (e.g. the number of attendances that are automatically given a time to initial assessment of midnight 00:00). The quality and coverage of A&E HES data have considerably improved over the years, and the Department and the NHS Information Centre are working with NHS Performance and Information directors to further improve the data. Note: This information is secondary analysis of HES data that have been produced by the Urgent & Emergency Care team in the Department of Health. Questions should be forward to the mailbox of the Urgent & Emergency Care team at the Department of Health urgent&emergencycare@dh.gsi.gov.uk . Revisions Policy: Please note, Provisional HES data may be revised throughout the year (for example data will differ depending on the time at which they were extracted). Indicator data published for earlier months will not be revised using updated HES data extracted in subsequent months.

  19. c

    Acute Trusts: Adult Inpatients Survey, 2006

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
    + more versions
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    Healthcare Commission (2024). Acute Trusts: Adult Inpatients Survey, 2006 [Dataset]. http://doi.org/10.5255/UKDA-SN-5628-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Picker Institute Europe
    Authors
    Healthcare Commission
    Time period covered
    Sep 1, 2006 - Nov 1, 2006
    Area covered
    England
    Variables measured
    Individuals, National
    Measurement technique
    Postal survey
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The National Patient Survey Programme is one of the largest patient survey programmes in the world. It provides an opportunity to monitor experiences of health and provides data to assist with registration of trusts and monitoring on-going compliance. Understanding what people think about the care and treatment they receive is crucial to improving the quality of care being delivered by healthcare organisations. One way of doing this is by asking people who have recently used the health service to tell the Care Quality Commission (CQC) about their experiences.

    The CQC will use the results from the surveys in the regulation, monitoring and inspection of NHS acute trusts (or, for community mental health service user surveys, providers of mental health services) in England. Data are used in CQC Insight, an intelligence tool which identifies potential changes in quality of care and then supports deciding on the right regulatory response. Survey data will also be used to support CQC inspections.

    Each survey has a different focus. These include patients' experiences in outpatient and accident and emergency departments in Acute Trusts, and the experiences of people using mental health services in the community.

    History of the programme

    The National Patient Survey Programme began in 2002, and was then conducted by the Commission for Health Improvement (CHI), along with the Commission for Healthcare Audit and Inspection (CHAI). Administration of the programme was taken over by the Healthcare Commission in time for the 2004 series. On 1 April 2009, the CQC was formed, which replaced the Healthcare Commission.

    Further information about the National Patient Survey Programme may be found on the CQC Patient Survey Programme web pages.


    The Adult Inpatients Survey, 2006 was designed to provide actionable feedback to each participating NHS trust on patients' views of the care they had received as inpatients, as well as providing the Healthcare Commission with patient-focused indicators to feed into the 2006-2007 performance ratings check for acute and specialist trusts.

    Main Topics:

    Topics covered included: admission to hospital; emergency care; the emergency department; waiting lists and planned admissions; hospital and ward conditions; care received from doctors and nurses; overall care and treatment; pain control; operations and procedures; leaving hospital; demographic characteristics.

  20. l

    Perfformiad yn erbyn targedau amseroedd aros, ar gyfer pob cyfleuster gofal...

    • statscymru.llyw.cymru
    json
    Updated Mar 20, 2025
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    (2025). Perfformiad yn erbyn targedau amseroedd aros, ar gyfer pob cyfleuster gofal brys yn ôl bwrdd iechyd lleol [Dataset]. https://statscymru.llyw.cymru/Catalogue/Health-and-Social-Care/NHS-Hospital-Waiting-Times/emergency-department/performanceagainst4hourtargetallemergencycarefacilities-by-localhealthboard
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    jsonAvailable download formats
    Dataset updated
    Mar 20, 2025
    Description

    Mae cwmpas ehangach o ystadegau perfformiad adrannau brys bellach yn cael ei gyhoeddi ar wefan yr Uned Comisiynu Cydweithredol Cenedlaethol (NCCU), fel rheolwyr. Mae hyn yn cynnwys mesur yr amser rhwng y claf yn cyrraedd a chael ei frysbennu, yr amser rhwng y claf yn cyrraedd a chael cysylltiad â gwneuthurwr penderfyniadau clinigol, a dadansoddiad o ble fydd y claf yn mynd ar ôl gadael yr adran achosion brys. Caiff y rhain eu diweddaru bob mis ar yr un diwrnod â’r cyhoeddiad Ystadegau Gwladol hwn. Ni fydd modd cymharu data cyn mis Ionawr 2013 yn uniongyrchol â data ar gyfer mis Ionawr 2013 ymlaen oherwydd newid mewn methodoleg. Gweler nodiadau yng nghyhoeddiad mis Mawrth 2013 am fwy o fanylion (Ionawr 2013). Ar gyfer data o fis Mawrth 2017 ymlaen, bydd yna ddull newydd o gyhoeddi data ar amseroedd aros adrannau damweiniau ac achosion brys: Cyn data mis Awst 2012, roedd data amseroedd aros misol adrannau damweiniau ac achosion brys yn cael ei gyhoeddi gan Lywodraeth Cymru fel ystadegau swyddogol mewn Cyhoeddiad Ystadegol, gyda data manylach ar StatsCymru. Roedd y data misol mis Awst 2012 i fis Chwefror 2017 wedi cael ei gyhoeddi gan Iechyd a Gofal Digidol Cymru (DHCW) ar ei wefan fel gwybodaeth reoli. Cyhoeddwyd y data misol o fis Mawrth 2017 ymlaen ar StatsCymru a therfynwyd cyhoeddiad DIechyd a Gofal Digidol Cymru (DHCW). Ym mis Rhagfyr 2011, cyflwynwyd rhai newidiadau technegol i adroddiadau adrannau damweiniau ac achosion brys mewn perthynas ag eithriadau clinigol a gweithredol. Mae’r canllawiau isod wedi bod yn berthnasol yng Nghymru ers mis Rhagfyr 2011. Felly, ni fydd y ddwy sefyllfa isod yn cael eu hystyried yn achosion o dorri targedau mwyach: Os bydd clinigwr yn penderfynu mai’r adran damweiniau ac achosion brys yw’r lle mwyaf diogel i glaf, dylai’r claf aros yno hyd nes y bydd hi’n ddiogel ei symud; ac ni ddylai Cleifion gael eu derbyn er mwyn osgoi torri’r targedau’n unig. Dylai clinigwyr dderbyn cleifion i gyfleusterau priodol yn unig a dim ond os yw hynny’n briodol. Ar gyfer data mis Rhagfyr 2011, ni lwyddodd BILlau Prifysgol Caerdydd a’r Fro a Phrifysgol Betsi Cadwaladr i wneud y newid i’r canllawiau mewn perthynas ag eithriadau clinigol. Ar gyfer y data rhwng mis Ionawr a mis Gorffennaf 2012, ni lwyddodd BILl Prifysgol Betsi Cadwaladr i roi’r newid ar waith yn llawn ar gyfer pob mis, a llwyddodd BILl Prifysgol Caerdydd a’r Fro i roi’r newid ar waith ar gyfer 26 tan 31 Ionawr yn unig, er ei fod wedi rhoi’r newid ar waith ar gyfer data o fis Chwefror 2012 ymlaen. (Dywedodd Prifysgol Caerdydd a’r Fro wrthym fod rhaid iddyn nhw ddatblygu a phrofi eu systemau a hyfforddi defnyddwyr i sicrhau casgliad cadarn mewn perthynas ag eithriadau clinigol i gydymffurfio â chanllawiau cydymffurfiaeth newydd yr UE. Cwblhawyd y gwaith hwn ddiwedd mis Ionawr.) Felly, mae’n debygol y bydd ffigurau Cymru ar gyfer y cyfnod rhwng mis Rhagfyr 2011 a mis Gorffennaf 2012 yn is na’r disgwyl. Cafodd targed ym ymwneud â sicrhau nad yw cleifion yn gorfod aros 12 awr neu fwy mewn unrhyw gyfleuster gofal brys o fis Ebrill 2013 ymlaen ei gyflwyno yn Fframwaith Cyflawni GIG Cymru ar gyfer 2013/14. Hyd at fis Ebrill 2012, roedd data’n cael ei gyflwyno’n ddyddiol ac yn wythnosol trwy SITREPS. Nid oedd ansawdd y data a adroddwyd yn ddigon da i’w gyhoeddi, felly cymerwyd data o’r adroddiadau wythnosol a ddilyswyd i sicrhau data mwy dibynadwy. O ganlyniad, mae’r wybodaeth a gyflwynir yn seiliedig ar gylch pedair/pump wythnos yn hytrach na misoedd calendr. Mae nifer yr wythnosau mewn unrhyw gylch yn seiliedig ar faint o ddyddiau Llun sydd rhwng diwedd y cylch blaenorol a diwedd y mis. Dyddiad diwedd yr wythnos, sef dydd Llun bob amser, a ddefnyddir i bennu i ba ‘fis’ y mae adroddiad wythnosol penodol yn perthyn. Mae gan fisoedd sy’n cynnwys cyfnod adrodd 5 wythnos nodyn gyferbyn â nhw. Dangosir data ar gyfer Unedau Mân Anafiadau/Adrannau Damweiniau ac Achosion Brys Eraill dim ond o fis Ebrill 2012 ymlaen achos ni chasglwyd y wybodaeth hon drwy SITREPS.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). England: Hospital A&E attendees seen within four hours 2011-2024, by month [Dataset]. https://www.statista.com/statistics/1071036/england-monthly-hospital-aande-waiting-times/
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England: Hospital A&E attendees seen within four hours 2011-2024, by month

Explore at:
Dataset updated
Nov 21, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jan 2011 - Oct 2024
Area covered
United Kingdom, England
Description

In October 2024, only 58 percent of patients who attended a hospital accident and emergency (A&E) department in England were seen within four hours. This is among the lowest monthly share of attendees seen within four hours in the provided time interval and is well below the target; that 95 percent of patients in A&E should be seen within fours of arrival. The last month in which the four-hour target was met was in June 2013. As shown in the graph, the share of patients seen within four hours has been decreasing, although it shows signs of increasing again. The equivalent data for waiting times in all A&Es can be found here.

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