Version: 7.0.0 | Published: 8 Oct 2024 | Updated: 425 days ago
Trusted Research Environment for CVD-COVID-UK (Scotland)
Dataset
Documentation
Associated Media:
Description:
CVD-COVID-UK, co-ordinated by the British Heart Foundation (BHF) Data Science Centre (https://bhfdatasciencecentre.org/), is one of the NIHR-BHF Cardiovascular Partnership’s National Flagship Projects.
CVD-COVID-UK aims to understand the relationship between COVID-19 and cardiovascular diseases through analyses of de-identified, pseudonymised, linked, nationally collated health datasets across the four nations of the UK. The consortium has over 400 members across more than 50 institutions including data custodians, data scientists and clinicians, all of whom have signed up to an agreed set of principles with an inclusive, open and transparent ethos.
Approved researchers access data within secure trusted/secure research environments (TREs/SDEs) provided by NHS England (England), the National Safe Haven (Scotland), the SAIL Databank (Wales) and the Honest Broker Service (Northern Ireland). A dashboard of datasets available in each nation’s TRE can be found here: https://bhfdatasciencecentre.org/areas/cvd-covid-uk-covid-impact/
This dataset represents the linked datasets for CVD-COVID-UK in the National Safe Haven for Scotland and contains the following datasets:
• Outpatient Appointments and Attendances - Scottish Morbidity Record (SMR00)
• General Acute Inpatient and Day Case - Scottish Morbidity Record (SMR01)
• Scotland Accident and Emergency
• COVID-19 Tests (lab/lighthouse testing)
• SARS-CoV-2 viral sequencing data (COG-UK data) - Lineage/Variant Data - Scotland
• Scottish Covid-19 Vaccination Data
• National Records of Scotland (NRS) - Deaths Data
• SICSAG Daily (Scottish Intensive Care Audit Group)
• SICSAG Episodes (Scottish Intensive Care Audit Group)
• Prescribing Information System (PIS)
• Scottish Stroke Care Audit
• Diabetes covariates
• Scottish Renal Registry
Coverage
Spatial:
Scotland
Typical Age Range:
0-150
Follow Up:
Other
Pathway:
Linked care record across secondary and tertiary care
Provenance
Origin
Purposes:
- Care
- Audit
- Disease registry
Collection Situations:
- Secondary care - Accident and Emergency
- Secondary care - Outpatients
- Secondary care - In-patients
- Community
- Prescribing - Community pharmacy
- Secondary care - ICU
- Prescribing - Hospital
Temporal
Accrual Periodicity:
Quarterly
Start Date:
01 January 1997
Time Lag:
Variable
Accessibility
Access
Access Service:
Data is accessed within the Scottish National Safe Haven under the arrangements
in place with the BHF Data Science Centre for CVD-COVID-UK
Delivery Lead Time:
1-2 months
Jurisdictions:
GB
Data Controller:
Public Health Scotland/National Records Scotland
Data Processor:
Public Health Scotland
Usage
Data Use Limitations:
Research-specific restrictions
Data Use Requirements:
- Collaboration required
- Institution-specific restrictions
- Project-specific restrictions
- Publication required
- Time limit on use
- User-specific restriction
Format and Standards
Vocabulary Encoding Schemes:
- OPCS4
- READ
- OTHER
- NHS SCOTLAND NATIONAL CODES
- ICD10
Conforms To:
NHS SCOTLAND DATA DICTIONARY
Languages:
en
Formats:
SQL database table
Enrichment and Linkage
Derivations:
- COVID-19 Tests
- SARS-CoV-2 viral sequencing data (COG-UK data) - Lineage/Variant Data - Scotland
- Scottish Covid-19 Vaccination Data
- National Records of Scotland (NRS) - Deaths Data
- SICSAG Daily (Scottish Intensive Care Audit Group)
- SICSAG Episodes (Scottish Intensive Care Audit Group)
- Prescribing Information System (PIS)
- Scottish Stroke Care Audit
- Diabetes covariates
- Scottish Renal Registry
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
Some datasets cover the estimated size of the population, although distinct counts over time may be in excess of this due to population turnover, population movement and in a very small proportion there may be duplication. https://bhfdsc.github.io/documentation/docs/dataset_overview/dataset_summary_table.
5500000
Distinct Count of IDs
18 July 2023