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Version: 0.0.9 | Published: 15 Mar 2024 | Updated: 436 days ago
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North West London Primary Care Events Data (NWL PCE)

Dataset

Summary

DOI Name:
Not Available

Documentation

Description:
Organisations we collect information for include: NHS England - information is used to collect GP payments, based on achievements under the Quality and Outcomes Framework (QOF) and the delivery of quality services other government departments - for information about certain medical conditions and GP activity universities and other organisations - for academic research and services such as screening programmes The systems that we use to collect data and information include: General Practice Extraction Service (GPES) - used to collect information and data Calculating Quality Reporting Service (CQRS) - to record practice participation and to process and display information GP clinical systems - to record information at practice level We are responsible for producing and maintaining the extract specification (business rules) to enable the extraction of these services. Interaction between a patient and the practice they are registered to All Appointments data All clinical diagnostics data All administrative activity related to patients communication with practice All test results related to patients All screening information related to patients
Is Part Of:
PRIMARY CARE

Coverage

Spatial:
United Kingdom,England,London,Brent; United Kingdom,England,London,Ealing; United Kingdom,England,London,Hammersmith and Fulham; United Kingdom,England,London,Harrow; United Kingdom,England,London,Hillingdon; United Kingdom,England,London,Hounslow; United Kingdom,England,London,Kensington and Chelsea; United Kingdom,England,London,Westminster
Typical Age Range:
0-150
Follow Up:
> 10 YEARS
Physical Sample Availability:
NOT AVAILABLE
Pathway:
The data in this table relates to primary care events which is any interaction between the patient and their registered general practice. All patients are identified by an unique patient key which can be linked with all other datasets available in the Discover-NOW catalogue to understand the patient pathway

Provenance

Origin

Purposes:
  • ADMINISTRATIVE
  • CARE
  • OTHER
Sources:
OTHER
Collection Situations:
OTHER

Temporal

Accrual Periodicity:
MONTHLY
Distribution Release Date:
18 December 2019
Start Date:
01 January 2015
Time Lag:
1-2 MONTHS

Accessibility

Access

Access Service:
Researchers will have access to a VDI environment with a specific username and password. The researchers will get access to the datasets that is present in the hub's catalogue and would be able to carry out their research within the safe haven. There are restrictions applied which prevents the researchers from taking data out of the safe haven, once the research/analysis is completed the admin team will need to be contacted for taking the analysis off the safe haven
Delivery Lead Time:
1-2 MONTHS
Jurisdictions:
GB
Data Controller:
Joint data controller model across North West London
Data Processor:
North West London Integrated Care Board (NWL ICB) North East London Integrated Care Board (NEL ICB) North of England Commissioning Support Unit (NECS)

Usage

Data Use Limitations:
NO RESTRICTION
Data Use Requirements:
  • COLLABORATION REQUIRED
  • INSTITUTION SPECIFIC RESTRICTIONS
  • PROJECT SPECIFIC RESTRICTIONS
  • TIME LIMIT ON USE
  • USER SPECIFIC RESTRICTION
Resource Creators:
NHS NWL ICS; Discover-NOW
Is Referenced By:
Bottleet al. BMC Medical Informatics and Decision Making (2020) 20:71 https://doi.org/10.1186/s12911-020-1082-7

Format and Standards

Vocabulary Encoding Schemes:
  • READ
  • SNOMED CT
Conforms To:
LOCAL
Languages:
en
Formats:
  • Excel
  • SQL
  • Tableau
  • R

Enrichment and Linkage

Qualified Relations:
Each patient will be identified by an unique patient key that can be used to link to all other datasets available within Discover-NOW hub
Derivations:
Long Term Conditions Electronic Frailty Index Q-Admissions Patient Segments Risk Segments

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
2,644,802
Count
08 December 2020