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Society of Acute Medicine Benchmarking Audit – National SDEC 2023

Population Size

9,612

People

Years

2023 - 2023

Associated BioSamples

None/not available

Geographic coverage

https://www.geonames.org/2635167/united-kingdom-of-great-britain-and-northern-ireland.html

Lead time

1-2 months

Summary

Data about 9,612 patients from the Society of Acute Medicine Benchmarking SDEC 2023 audit from 160 hospitals across the UK. Data on SDEC service structure, staffing, patient demographics, acuity at admission, frailty, care pathways & readmission status.

Documentation

The Society for Acute Medicine (SAM) Benchmarking Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA is to describe the severity of illness of acute medical patients presenting to Acute Medicine, the speed of their assessment, their pathway and progress at seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’).

SAMBA normally takes place at least once a year. Data are collected for patients admitted over a 24-hour period, with follow up of clinical outcomes. The dataset consists of an audit of a day in Summer 2023, and compares SDEC service structure, services and patient level data for >35,000 patient attendances at 188 hospitals in the UK. This data are from the largest evaluation of medical SDEC to date.

It includes 9,612 patients in the Society of acute medicine benchmarking audit dataset- containing unit structure and staffing levels, patient demographics (age and gender), SDEC admission details and investigations, severity of illness at presentation using an early warning score (e.g. NEWS2), frailty and pathway of care through the hospital and readmission. The data was collected on 22-06-2023.

Geography: Recruitment to SAMBA audits are open to all hospitals in the UK receiving acutely unwell medical patients. Non-acute and community hospitals were excluded. The SAMBA dataset draws on contributions from across all four nations of the UK. In 2023, patient data on SDEC attendance was submitted by 140 hospitals in England, 6 in Northern Ireland, 4 in Scotland, 9 in Wales, as well as 1 in Jersey.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: To supplement the national audit data, PIONEER can provide more granular, longitudinal patient-level insights. This includes matched controls, ambulance and community data, and unstructured data (such as images).

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Dataset type
Health and disease, Measurements/Tests, Lifestyle
Dataset sub-type
Not applicable
Dataset population size
9612

Keywords

NHS, AMU, NEWS2, deterioration, alert, patient, acute hospitals, inpatient, care escalation, physiology, demographics, therapies, outcomes, death, clinical speciality, medical review, observations, place of review, frailty, SDEC, same day emergency care

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

Summer SAMBA 2023 data with 9612 patients

9612

Count

24 Feb 2025

Provenance

Purpose of dataset collection
Audit
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency
Patient pathway description
The dataset captures patients presenting to acute medical services across over 100 hospitals within the UK, providing a representative sample of acute medical presentations during the specified timeframe. Patients may be discharged directly or admitted to hospital. National Data Opt-Outs have been applied, ensuring appropriate exclusions. This dataset focuses solely on the acute presentation however, for selected hospitals, additional longitudinal data can be provided on request to enrich the information, including prior and subsequent hospital contacts, outpatient appointments, ambulance records (999), NHS 111 interactions, and other relevant healthcare encounters.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Static
Version
1.0.0
Modified

25/03/2025

Citation Requirements
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/158). SAMBA is funded by the Society for Acute Medicine. Approval has been given for the use of longitudinal data for research (HRA 21/HRA/419). Further information regarding the Society for Acute Medicine Benchmarking Audit, including how to take part, is available at https://www.acutemedicine.org.uk/samba-new/ .

Coverage

Start date

22/06/2023

End date

22/06/2023

Time lag
Less than 1 week
Minimum age range
16
Maximum age range
150
Follow-up
0 - 6 Months

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
LOCAL
Format
excel

Data Access Request

Dataset pipeline status
Available
Time to dataset access
1-2 months
Access request cost
www.pioneerdatahub.co.uk/data/data-services-costs/
Access method category
TRE/SDE
Access service description

Trusted Research Environments (TRE) are built using Microsoft Azure services and hosted in the UK to provide research teams a safe, secure and agile environment which allows users to quickly analyse, interpret and form an enriched view of primary care information through a range of integrated datasets.

Health data collated from multiple sources is ingested into a secure data lake which will then allow subsets of data to be made available to research teams on approval of a data request. Once approved a customer specific TRE is made available with a standard set of leading analytical tools from Microsoft including Azure Databricks, Azure Machine Learning, Azure SQL and Azure Synapse (for large-scale data warehouses). Specific tools can be provided at an additional cost over the standard platform data access charge and the PIONEER team will work with you to determine your exact needs.

Access to the TRE is managed using the latest virtual desktop technology to provide a safe and secure end-user experience. By utilising leading edge design PIONEER are able to create TREs rapidly to enable us to service any customer requirement.

Jurisdiction
GB
Data use limitation
General research use
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust
Data Processor
NOT APPLICABLE

Dataset Types: Health and disease, Measurements/Tests, Lifestyle


Collection Sources: Secondary care - Accident and Emergency