Hospital Accident and Emergency Care Activity supporting information
This page provided supporting information for the publication reports on which use Emergency Care Data Set (ECDS) as their data source. This includes Hospital Accident and Emergency Care Activity.
Information included in this page will be updated with information relevant to Hospital Accident and Emergency Care Activity. Specific information relevant to an annual publication will be captured under the appropriate year. Provisional data is published monthly in the publication series, Provisional Accident and Emergency Quality Indicators.
Emergency Care Data Set (ECDS)
The Emergency Care Data Set (ECDS) is the national data set for urgent and emergency care which replaced the Hospital Episode Statistics (HES) Accident and Emergency Commissioning Data Set in April 2020. HES data includes patient level data on hospital admissions and outpatient appointments for NHS trusts in England.
Learn more about the Emergency Care Data Set.
Learn more about HES
Healthcare providers collect administrative and clinical information locally to support the care of the patient. These data are submitted to the SUS to enable hospitals to be paid for the care they deliver.
Monthly Situation Reports (MSitAE)
NHS England compiles A&E attendances and emergency admissions data through a central return that is split into two parts:
- A&E Attendances: This collects the number of A&E attendances, patients spending greater than 4 hours in A&E from arrival to discharge, transfer or admission and the number of patients delayed more than 4 hours from decision to admit to admission
- Emergency Admissions: This collects the total number of emergency admissions via A&E as well as other emergency admissions (i.e. not via A&E)
These data items are split by the following categories of A&E department:
- Type 1 Department (Major A&E Department)
- Type 2 Department
- Type 3 A&E department / Type 4 A&E department / Urgent Care Centre
More information about this data source are included in the monthly publication, A&E Attendances and Emergency Admissions
Accident and Emergency Care Activity
This publication looks at Accident and Emergency activity in England. 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 data sources for this publication are the Emergency Care Data Set (ECDS) for 2020-21, HES A&E for activity prior to 2020-21 and the A&E Attendances and Emergency Admissions Monthly Situation Reports (MSitAE). 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 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. Information related to the specific annual releases are captured below.
ECDS data quality
The quality of ECDS data is the responsibility of the NHS providers who submit the data to Secondary Uses Services (SUS). These data are required to be accurate to enable them to be correctly paid for the activity they undertake. NHS England has a well-developed data quality assurance process for the SUS and ECDS data and the data quality of provisional data is reported monthly to improve the quality before the annual finalisation. Details about the quality of ECDS is available.
ECDS is a unique data source, whose strength lies in the richness of detail at patient level at a much more granular level than its predecessor the HES A&E dataset. Details of the data items captured within the ECDS data set may be found in the ECDS technical output specification (ETOS). Data quality caveats related to the specific annual releases are captured below.
Suppression methodology
This publication follows standard methodology for secondary care publications in England.
To reduce the risk of identifying individuals from small numbers, an * appears in the tables for all sub-national breakdowns, where there is a value between 1 and 7. All other sub-national data has been rounded to the nearest 5 for ECDS based measures only.
Percentages - when calculating percentages at sub-national level:
1. Where the numerator or denominator is between 1 and 7 (inclusive), no percentage or rate is calculated, and 0 with Y suppression flag will be displayed.
2. Where the numerator is zero, the percentage will be 0%.
3. Where the unrounded numerator and denominator are greater than or equal to 8, a percentage or rate is calculated using the rounded numerator or denominator.
All calculations are completed on unrounded figures.
Home nations comparative analysis of A&E attendances and waiting times
An additional file is published alongside this report, providing a comparison of the number of unplanned A&E attendances, 4 hour and 12 hour waiting time performance for each of the four home nations (England, Scotland, Wales and Northern Ireland). To compare across all nations this comparison is for Type 1 or Major A&E departments within each nation.
This builds upon work undertaken by statisticians in all four home nations that have collaborated as part of the ‘UK Comparative Waiting Times Group’. The aim of the group was to look across published health statistics, in particular waiting times, and compile a comparison of (i) what is measured in each country, (ii) how the statistics are similar and (iii) where they have key differences. The first area relates to A&E data.
The data sources for this analysis are:
- Emergency Care Dataset (ECDS)
- A&E Attendances and Emergency Admissions Monthly Situation Reports (MSitAE)
- Public Health Scotland A&E Datamart
- Emergency department data set (EDDS), NHS Wales Informatics Services (NWIS)
- Hospital Information Branch, Information & Analysis Directorate, Department of Health (Northern Ireland)
Time Waited is defined as the time of arrival until the time of discharge, admission or transfer.
2022/23
Below outlines the source of the population data for this release:
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Age and Gender: ONS 2021 Mid-year Estimates
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Ethnicity: ONS 2021 Census
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IMD Decile: ONS 2020
Caveats
The format of the publication has changed for the 2022-23. The changes are focused around the look and feel of the publication and are outlined below:
- Focus the webpage report on key insights
- Reducing the written report (all data will be available in the data files)
- Admitted Patient Care: one page focussed on Admitted Care, one page focussed on Adult Critical Care
- Accident and Emergency: reduce content, focus on areas of interest in existing publication
- Outpatient: one page focussed on national summary
- Update the format of the excel tables
- Where appropriate merge similar tables to improve navigation
- Data included will remain the same other than tables mentioned below
- Increase number of machine-readable files which align to open data standards
- Replace Provider Level Analysis file (PLA) with an interactive Power BI dashboard and csv file
Data Quality Notes
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.
Last edited: 19 September 2023 1:52 pm