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Emergency hospital admissions in patients from care home settings

Population Size

128,076

People

Years

2018 - 2021

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

Lead time

1-2 months

Summary

Longitudinal routine data for 128,000 admissions to hospital as an emergency from a care home; including treatments, interventions, ITU admissions and outcomes. Deeply phenotyped longitudinal data including serial physiology, blood biomarkers.

Documentation

Nearly 340,000 older people in England live in residential or nursing care homes. Older people living in care homes often have complex health problems which make them more likely to need hospital care in hospital if their health suddenly deteriorates. People living in care homes account for 185,000 emergency admissions to hospital each year and spend over 1.46 million days in hospital beds. Improving care for older patients living in care homes will directly benefit patients while reducing the demand for hospital beds and reduce the risk of hospital overcrowding.

A significant proportion of hospital admissions from care homes are unnecessary and could be avoided if their needs were addressed differently. The hospital environment and can be distressing for some older people living in care homes and the burden of transferring patients from their home to hospital can be significant. These factors have driven a search for alternative ways of providing better care.

This highly granular dataset of 128,000 admissions from care home provides a unique opportunity to understand reasons, pathways and outcomes from acute presentations to hospital.

PIONEER geography: The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix.

Electronic Heath Record. 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 & an expanded 250 ITU bed capacity during COVID. 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: Acute care episodes amongst patients aged over 65 from care homes. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes highly granular patient demographics, co-morbidities taken from ICD-10 & SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions, wards), presenting complaint, physiology readings (heart rate, BMI, blood pressure, respiratory rate, NEWS2 score, oxygen saturations and clinical frailty scale), Charlson comorbidity index, Lab analysis results(e.g. urea, albumin, platelets, white blood cells) microbiology results, procedures, outpatients admissions, oxygen delivery methods, drug administered and all outcomes. Linked images available (radiographs, CT scans, MRI).

Available supplementary data: Matched controls; ambulance, OMOP 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.

Dataset type
Health and disease, Treatments/Interventions
Dataset sub-type
Neurological
Dataset population size
128076

Keywords

Acute Care, Nursing home, Care home, Residential care, Prognosis, Frailty, Emergency admissions, older people, biomarkers, Longitudinal, treatments, Outcomes, demography, age, Ethnicity, socioeconomic deprivations, symptoms, admission diagnosis, acuity, physiology, pulse rate, blood pressure, oxygenation, pulse oximetry, investigations, blood tests, Pathology, Imaging, treatments, fluids, medications, antibiotics, surgical procedures, fracture, Falls, Mortality, specialty care, geriatrics

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

128,076 acute episodes amongst patients aged over 65 with identifiable features of frailty between 01/01/2018 and 01/08/2021

128076

Count

24 Nov 2021

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - Accident and Emergency
Patient pathway description
Data is representative of the multi-ethnicity population within the West Midlands (42% non white). Data includes all patients admitted during this timeframe, with National data Opt Outs applied, and therefore is representative of admissions to secondary care. Data focuses on in-patient stay in hospital during the acute episode but can be supplemented on request to include previous and subsequent hospital contacts (including outpatient appointments) and ambulance, 111, 999 data.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Quarterly
Version
1.0.0
Modified

08/10/2024

Distribution release date

24/11/2021

Citation Requirements
This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)

Coverage

Start date

01/01/2018

End date

31/07/2021

Time lag
Other
Geographic coverage
United Kingdom, England, West Midlands
Minimum age range
65
Maximum age range
110
Follow-up
Other

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
SNOMED CT, ICD10, OPCS4
Format
SQL

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-ENG
Data use limitation
General research use
Data use requirements
Project-specific restrictions
Data Controller
University Hospitals Birmingham NHS Foundation Trust

Dataset Types: Health and disease, Treatments/Interventions

Dataset Sub-types: Neurological


Collection Sources: Secondary care - Accident and Emergency