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Hospitalised patients with diabetic emergencies & acute diabetic health concerns

Population Size

168,706

People

Years

2002 - 2022

Associated BioSamples

None/not available

Geographic coverage

https://www.geonames.org/2634343/west-midlands.html

Lead time

1-2 months

Summary

An NIHR Midlands Patient Safety Research Centre dataset of 168,706 diabetic emergencies and acute admissions associated with diabetes-related health concerns, including demographic data with investigations, serial physiology and outcomes.

Documentation

Background.

Diabetes mellitus affects over 3.9 million people in the United Kingdom (UK), with over 2.6 million people in England alone. Each year more than 1 million people with diabetes are acutely admitted to hospital due to complications of their illness. This includes Diabetic emergencies such as Diabetic Comas, Hypoglycaemia, Diabetic ketoacidosis, and Diabetic Hyperosmolar Hyperglycaemic State. Diabetic emergency management is often not compliant with national guidelines, and there is a pressing need to improve patient care. This dataset includes 65,506 people and 168,706 spells, designed to support research which improves diabetic emergency and unplanned care.

Other causes for admission include diabetic ulcers, neuropathies, kidney disease and associated co-morbidities such as infection, cerebrovascular disease and cardiovascular disease. This dataset includes acute all diabetic admissions to University Hospitals Birmingham NHS Trust from 2000 onwards refreshed to include new admissions as they occur.

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

EHR. 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: All patients admitted to hospital from year 2002 and onwards, curated to focus on Diabetes. 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 acute care process (timings, staff grades, specialty review, wards and triage). Along with presenting complaints, outpatients admissions, microbiology results, referrals, procedures, therapies, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations and others), all blood results(urea, albumin, platelets, white blood cells and others). Includes all prescribed & administered treatments and all outcomes. Linked images are also 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, Measurements/Tests
Dataset sub-type
Metabolic and endocrine
Dataset population size
168706

Keywords

Diabetes, Type 2, Type 1, Hypoglycaemia, hyperglycaemia, diabetic ketoacidosis, hyperosmolar Hyperglycaemic state, diabetic coma, acidosis, insulin, injection, pump, metformin, sulphonylurea, GLP-1s, incretin mimetics, DPP-4 inhibitors, gliptins, alpha glucosidase inhibitors, glitazones, diabetic ulcer, diabetic eye disease, diabetic neuropathy, diabetic kidney disease, infection, sepsis, hospitalised, age, sex, ethnicity, socioeconomic status, investigations, physiology, procedures, outcomes, discharge, death, hospitalised, admission, secondary care

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

168,706 spells with patients with diabetes between 16-01-2002 and 01-01-2022

168706

Count

20 Jan 2022

Provenance

Purpose of dataset collection
Care
Source of data extraction
EPR
Collection source setting
Secondary care - In-patients
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

20/01/2022

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

16/01/2002

End date

01/01/2022

Time lag
Other
Maximum age range
110
Follow-up
Other

Accessibility

Language
en
Alignment with standardised data models
LOCAL
Controlled vocabulary
ICD10, SNOMED CT, 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, Measurements/Tests

Dataset Sub-types: Metabolic and endocrine


Collection Sources: Secondary care - In-patients