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Society of Acute Medicine Benchmarking Audit – National Summer 2022

Population Size

8,344

People

Population Size statistic card

Years

2022 - 2022

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

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

Geographic coverage statistic card

Lead time

1-2 months

Lead time statistic card

Summary

Data about 8,344 patients from the Society of Acute Medicine Benchmarking Summer 2022 audit from 146 hospitals across the UK. Data on hospital unit structure, staffing, patient demographics, acuity at admission, frailty, care pathways & readmission status.

Documentation

The Summer Society for Acute Medicine Benchmarking Audit (SAMBA) 2022 provides a snapshot of the care provided for acutely unwell medical patients in 149 hospitals across the UK over a 24-hour period on Thursday 23rd June 2022.

At the time that SAMBA22 took place, urgent and emergency care services were already under increasing pressure. The number of patients waiting within the Emergency Department for over 12 hours for an inpatient bed has been rising, with all parts of the emergency, acute care and inpatient pathway needing to confront the increasingly complex challenge of maintaining the quality and of care provided.

SAMBA22 aims to assess the same key clinical quality indicators as previously, with some aspects of data collection adapted to begin to expand our understanding of how acute medicine services perform and the care they provide in this changing landscape of urgent care services. It includes 8,344 patients in the SAMBA dataset- containing unit structure and staffing levels, patient demographics (age and gender), severity of illness at presentation using an early warning score (e.g. NEWS2), frailty and pathway of care through the hospital and readmission.

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 2022, patient data was submitted by 128 hospitals in England, 4 in Northern Ireland, 8 in Scotland, and 6 in Wales.

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 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

8344

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

SAMBA Patients - Summer 2022

8344

Count

25 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

24/03/2025

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

23/06/2022

End date

23/06/2022

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

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