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North West London Community Data (NWL COM)

Population Size

748,472

People

Years

2013

Associated BioSamples

None/not available

Geographic coverage

United Kingdom

England

...see more

Lead time

1-2 months

Summary

The NWL COM linked table holds activity data from Community Providers which contains records of care administered in a Community setting within NWL. Some of the data items included are breastfeeding and nutrition, scored assessments and screening activity

Documentation

Providers of publicly-funded community services are legally mandated to collect and submit community health data, as set out by the Health and Social Care Act 2012.

The Community Services Data Set (CSDS) expands the scope of the Children and Young People's Health Services Data Set (CYPHS) data set, by removing the 0-18 age restriction. The CSDS supersedes the CYPHS data set, to allow adult community data to be submitted.

The structure and content of the CSDS remains the same as the CYPHS data set. The Community Information Data Set (CIDS) has been retired, to remove the need for a separate local collection and reduce burden on providers.

Reports from the CSDS are available to download from the Community Services Data Set reports webpage.

Dataset type
Health and disease
Dataset sub-type
Not applicable
Dataset population size
748472

Keywords

Community, Discover-NOW, Community Providers, Community Setting, Community Services Data Set, CSDS, Children and Young People's Health Services Data Set, Community Information Data Set, CIDS, Integrated Care, Real World data, Linked longitudinal

Observations

Observed Node
Disambiguating Description
Measured Value
Measured Property
Observation Date

Persons

population

748472

Count

08 Dec 2020

Persons

Registered population

596388

count

20 Oct 2022

Provenance

Source of data extraction
EPR
Collection source setting
Community
Patient pathway description
This dataset shows patient records across all community services commissioned in NWL. Patients in this dataset will have an unique patient key that can be used to link to other Discover-NOW datasets to determine the patient pathway.
Image contrast
Not stated
Biological sample availability
None/not available

Structural Metadata

Details

Publishing frequency
Monthly
Version
2.0.0
Modified

08/10/2024

Distribution release date

18/12/2022

Citation Requirements
NHS NWL ICS;,;Discover-NOW

Coverage

Start date

01/01/2013

Time lag
1-2 months
Geographic coverage
United Kingdom, England, London, Brent, Ealing, Hammersmith and Fulham, Harrow, Hillingdon, Hounslow, Kensington and Chelsea, Westminster
Maximum age range
150
Follow-up

10 Years

Accessibility

Language
en
Controlled vocabulary
LOCAL, NHS NATIONAL CODES, ODS
Format
Excel, SQL, Tableau, R

Data Access Request

Dataset pipeline status
Not available
Time to dataset access
1-2 months
Access request cost
In Progress
Access method category
TRE/SDE
Access service description
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.
Jurisdiction
GB
Data use limitation
No restriction
Data use requirements
Collaboration required,Institution-specific restrictions,Project-specific restrictions,Time limit on use,User-specific restriction
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)

Dataset Types: Health and disease


Collection Sources: Community

Publications about this dataset

How an electronic health record became a real-world research resource: comparison between London's W...Bottle A, Cohen C, Lucas A, Saravanakumar K, Ul-Ha...

BMC medical informatics and decision making BMC medical informatics and decision making

Published - 2020