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UHB 2020 Winter Society of Acute Medicine Benchmarking Audit

Dataset
Version: 1.0.0
Society of Acute Medicine Audit data. Hospital patients admitted during the COVID pandemic. Granular care pathways for reconfigured services. Severity, demographics, multi-morbidity, interventions and treatments, outcomes. Flow through hospital. UHBFT.

Summary

Citation:
UHB 2020 Winter Society of Acute Medicine Benchmarking Audit

Documentation

Description:
Background: The Society for Acute Medicine (SAM) Benchmark Audit (SAMBA) is a national benchmark audit of acute medical care. The aim of SAMBA20 is to describe the severity of illness of acute medical patients presenting to Acute Medicine within UK hospitals, speed of assessment, pathway and progress seven days after admission and to provide a comparison for each participating unit with the national average (or ‘benchmark’). On average >150 hospitals take part in this audit per year. SAMBA20 winter audit measured adherence to some of the standards for acute medical care. Acute Medical Units work 24-hours per day and 365 days a year. They are the single largest point of entry for acute hospital admissions and most patients are at their sickest within the first 24-hours of admission. This dataset includes • Total number of patients assessed by acute medicine across ED, AMU and Ambulatory Care. • Medical and nursing levels • Severity of illness • Timeliness in processes of care • Clinical outcomes 7 days after admission PIONEER geography The West Midlands (WM) has a population of 5.9million & includes a diverse ethnic, socio-economic mix. There is a higher than average % of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. WM has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. This is the SAMBA dataset from 4 NHS hospitals. EHR University Hospitals Birmingham NHS Foundation Trust (UHB) 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 & 100 ITU beds. 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: These data come from Queen Elizabeth Hospitals Birmingham, Good Hope Hospital, Solihull Hospital and Heartlands Hospital. All admissions in a pre-defined 24-hour period, the severity of illness, patient demographics, co-morbidity, acuity scores, serial, structured data pertaining to care process (timings, staff grades, specialty review, wards) all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes. Available supplementary data: More extensive data including granular serial physiology, bloods, conditions, interventions, treatments. Ambulance, 111, 999 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.
Is Part Of:
SAMBA

Coverage

Spatial:
United Kingdom, England, West Midlands
Typical Age Range:
16-90
Follow Up:
0 - 6 MONTHS
Physical Sample Availability:
NOT AVAILABLE
Pathway:
Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include even more granular hospital data.

Provenance

Origin

Purposes:
AUDIT
Sources:
EPR
Collection Situations:
  • ACCIDENT AND EMERGENCY
  • IN-PATIENTS
  • OUTPATIENTS

Temporal

Accrual Periodicity:
STATIC
Distribution Release Date:
2020-01-31
Start Date:
2020-01-30
End Date:
2020-01-30
Time Lag:
LESS 1 WEEK

Accessibility

Access

Access Service:
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.
Delivery Lead Time:
1-2 MONTHS
Jurisdictions:
GB
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Data Processor:
NOT APPLICABLE

Usage

Data Use Limitations:
RESEARCH USE ONLY
Data Use Requirements:
INSTITUTION SPECIFIC RESTRICTIONS
Resource Creators:
  • This publication uses data from PIONEER
  • an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)

Format and Standards

Vocabulary Encoding Schemes:
OTHER
Conforms To:
LOCAL
Languages:
en
Formats:
SQL

Enrichment and Linkage

Qualified Relations:
Part of the SAMBA datasets: https://www.acutemedicine.org.uk/samba/

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
Anonymous SAMBA dataset with total of 281 Patients
281
COUNT
2020-01-30