Bookmarks
Surgical Virtual Ward Outcomes for Patients Aged 65 and Older in New Care Models
Population Size
451,306
People
Years
2018 - 2023
Associated BioSamples
None/not available
Geographic coverage
https://www.geonames.org/2634343/west-midlands.html
Lead time
1-2 months
Summary
Documentation
Virtual wards (VW) provide care at home with remote monitoring for people who do not need admission to hospital, but require hospital-led care. NHS England (NHSE) has requested an extension of a VW model of care,with a national ambition of developing 40-50 VW ‘beds’ per 100,000 population. It is important that these new models of care benefit older adults,as they make up the majority of unplanned hospital admissions.
The Surgical Assessment Unit VW manages patients who are clinically suitable for home while waiting for investigation or treatment for an acute surgical condition.
To support a better evidence base for surgical VW, PIONEER has curated a highly granular dataset of 451,306 spells for patients aged 65 and older, eligible for the Virtual Surgical Assessment Unit (VSAU). The dataset includes a proportion of patients admitted to the VSAU and those remaining in traditional care pathways. It covers demography, comorbidities, presenting symptoms, serial physiology, diagnoses, investigations, treatments (including procedures), and outcomes. Admissions span from 2018 to 2023, with potential for expansion to other timelines of interest.
Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. 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 & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”. 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: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements. 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.
Keywords
Observations
Observed Node | Disambiguating Description | Measured Value | Measured Property | Observation Date |
---|---|---|---|---|
Persons | 451306 spells eligible for VSAU | 451306 | Count | 28 Nov 2024 |
Provenance
Structural Metadata
Details
13/12/2024
13/12/2024
Coverage
01/01/2018
31/08/2023
Accessibility
Data Access Request
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.