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A dataset of monitored patient safety indicators in 3 acute hospital settings

Population Size

9,639

People

Population Size statistic card

Years

2020 - 2021

Years statistic card

Associated BioSamples

None/not available

Associated BioSamples statistic card

Geographic coverage

United Kingdom

England

Geographic coverage statistic card

Lead time

1-2 months

Lead time statistic card

Summary

Monthly nursing quality and safety key indicator data (numerator and denominator) across 3 hospital sites. Data prior and post migration to a new electronic health system (EHS) to enable the impact on patient safety and clinical quality to be measured.

Documentation

Background. Electronic Health Records (EHRs) embedded into hospital systems have been reported to have benefits including reductions in patient safety events.

The dataset includes the summarised performance of three key clinical indicators. These nursing indicators are based on clinical quality and patient safety. Data is provided prior and post migration to a fully integrated Electronic Health System (EHS) with monthly numerator and denominators. The data covers the implementation at three hospital sites in Birmingham. Further supporting data can be requested from PIONEER to analyse the impact on patient safety and key outcomes such a mortality, length of stay, escalation to intensive care and readmissions.

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

Electronic Health 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) and this record includes the adoption of the EHR at two new hospital sites, a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: The dataset includes summarised data for performance of three clinical indicators, primarily:

  • Late/Missed Antibiotics – this is the prescribed dose administered on time, late or missed by ward area each month.

  • Late/Missed Non-Antibiotics – this is the prescribed medication (excluding antibiotics) which have been administered on time, administered late or missed by ward area each month.

  • 12 Hour Observations – a measure to assess that a patient has a full set of physiological observations taken every 12 hours. These include temperature, blood pressure, respiratory rate and oxygen saturations. The data within this dataset are only the compliance count, but PIONEER has full results available on request.

Available supplementary data: Matched controls; 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

Not applicable

Dataset population size

9639

Keywords

Observations

Observed Node

Disambiguating Description

Measured Value

Measured Property

Observation Date

Persons

9,639 distinct patients

9639

Count

03 Nov 2021

Provenance

Purpose of dataset collection

Care

Source of data extraction

EPR

Collection source setting

Secondary care - In-patients, 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

03/11/2021

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

01/01/2020

End date

01/11/2021

Time lag

Other

Geographic coverage

United Kingdom, England, West Midlands

Minimum age range

17

Maximum age range

110

Follow-up

1 - 10 Years

Accessibility

Language

en

Alignment with standardised data models

LOCAL

Controlled vocabulary

SNOMED CT, ICD10, NHS NATIONAL CODES, LOCAL

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


Collection Sources: Secondary care - In-patients, Secondary care - Accident and Emergency

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