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Assessing acuity scores – NEWS2 in acute illnesses with component markers

Dataset
Version: 1.0.0
Hospital patient acuity scores from 2018 onwards. Granular condition, ethnicity, multi-morbidity. Deeply phenotyped. Serial physiology, blood biomarkers, interventions, longitudinal, pre/post admission healthcare use.

Summary

Citation:
Assessing acuity scores – NEWS2 in acute illnesses with component markers

Documentation

Description:
Background Early warning systems (EWS) are bedside tools used to assess basic physiological parameters to identify patients with potential or established critical illness. Evidence suggests that they may predict risk of intensive care admission, death and length of hospital stay. In 2017, the Royal College of Physicians (RCP) published an updated National Early Warning Score, referred to as NEWS2, based upon six physiological parameters (heart rate, blood pressure, respiratory rate, peripheral oxygen saturations, temperature and level of consciousness). It is associated with specific clinical response recommendations in which a step change occurs at a threshold NEWS2 score >5, requiring an urgent clinical response no matter what the presenting complaint or condition. PIONEER geography: The West Midlands (WM) has a population of 5.9 million and includes a diverse ethnic and socio-economic mix. EHR. UHB is one of the largest NHS Trusts in England, providing direct acute services and specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds and an expanded 250 ITU bed capacity during COVID. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary and secondary care record (Your Care Connected) and a patient portal “My Health”. Scope: Serial NEWS2 scores of acutely unwell patients recorded during their hospital stay with each individual component of NEWS2 reported. Longitudinal and individually linked, so that the preceding and subsequent health journey can be mapped and healthcare utilisation prior to and after admission understood. The dataset includes highly granular patient demographics, co-morbidities taken from ICD-10 and SNOMED-CT codes. Serial, structured data pertaining to process of care (timings, admissions), presenting complaint, physiology readings (e.g. heart rate, blood pressure, respiratory rate, NEWS2 score and oxygen saturations), Lab analysis results (Alanine Transferase, albumin, Hb, Creatine Kinase, White Blood Cells and others), microbiology results, medications and all outcomes. Available supplementary data: Matched controls; ambulance, OMOP data, synthetic data. Available supplementary support: Analytics, Model build, validation and refinement; A.I.; Data partner support for ETL (extract, transform and load) process, Clinical expertise, Patient and end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

Coverage

Spatial:
United Kingdom, England, West Midlands
Typical Age Range:
20-95
Follow Up:
1 - 10 YEARS
Physical Sample Availability:
NOT AVAILABLE
Pathway:
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.

Provenance

Origin

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

Temporal

Accrual Periodicity:
QUARTERLY
Distribution Release Date:
2022-04-08
Start Date:
2018-01-01
End Date:
2022-02-01
Time Lag:
OTHER

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.
Access Request Cost:
www.pioneerdatahub.co.uk/data/data-services-costs/
Delivery Lead Time:
1-2 MONTHS
Jurisdictions:
GB-ENG
Data Controller:
University Hospitals Birmingham NHS Foundation Trust
Data Processor:
NOT APPLICABLE

Usage

Data Use Limitations:
GENERAL RESEARCH USE
Data Use Requirements:
PROJECT 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:
  • ICD10
  • SNOMED CT
Conforms To:
LOCAL
Languages:
en
Formats:
SQL

Enrichment and Linkage

Derivations:
Not Available

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
242,629 acute admissions with a NEWS2 score between 01/01/2018 and 01/02/2022
242629
Count
2022-04-08