client logo
Version: 1.0.4 | Published: 19 May 2026 | Updated: 7 days ago
ind-dataset-logo

North West London Adult Social Care Client Level Data (Social Care CLD)

Dataset

Summary

Population Size:
23366
Publication Date:
07 August 2025

Documentation

Description:
Client Level Data (CLD) has the potential to transform our understanding of peoples journeys through the social care system. As referenced in Data saves lives, the ability to link client level data from local authorities with NHS records for the same individuals will strengthen our understanding of how people move between health and social care, enabling better oversight of how services work together across the country and a better understanding to improve outcomes for individuals drawing on care. With routine validation of the data, Adult Social Care CLD will provide local authorities with a robust and consistent minimum core dataset that can be used to meet their local reporting requirements. Local authorities will also be able to request NHS number tracing and linked (pseudonymised) health records for greater commissioning insight into local health and care systems. This data, particularly when linked with other NHS data, can be used to: - assess effective delivery of care - support local service planning - provide the basis for national indicators - develop, monitor and evaluate government policy - enable research - improve services
In Pipeline:
Available

Coverage

Spatial:
  • Hillingdon
  • Kensington and Chelsea
  • Westminster
Typical Age Range Min:
0
Typical Age Range Max:
150
Material Type:
None/not available
Follow Up:
1 - 10 Years
Pathway:
Care package data relating to patients registered with a NWL GP. A locally agreed data set between NWL boroughs and commissioners has defined data items such as start and end dates, allocated teams and service descriptions.

Provenance

Origin

Purpose:
  • Administrative
  • Care
  • Other
Dataset Type:
  • Health and disease
  • Treatments/Interventions
Dataset Sub-Type:
  • Others
  • Others
Source:
EPR
Collection Source:
Social care - Other social data
Image Contrast:
Not stated

Temporal

Publishing Frequency:
Quarterly
Distribution Release Date:
07 August 2025
Start Date:
31 March 2023
Time Lag:
2-6 months

Accessibility

Access

Access Service Category:
TRE/SDE
Access Service:
Researchers will have access to a secure workspace via an airlocked Azure Virtual Desktop with a specific username and password. Researchers will get specific access to a relevant subset of the datasets that are present in the SDE catalogue for their project and will be able to carry out their research within the safe haven. There are restrictions applied which prevent the researchers from taking data out of the safe haven. Once the research is completed the London SDE admin team will need to be contacted for any requests to egress summary analysis out of the safe haven which will not breach 5 safe standards.
Access Request Cost:
In Progress
Delivery Lead Time:
1-2 months
Data Controller:
Joint data controller model across London: North Central London Integrated Care System (NCL ICS), Central London Integrated Care System (CL ICS), East London Integrated Care System (EL ICS), West London Integrated Care System (WL ICS), South London Integrated Care System (SL ICS)
Data Processor:
The data processor for the London Secure Data Environment (SDE) is primarily managed by OneLondon, a partnership of London's five integrated care systems (ICSs) and three health innovation networks.
Jurisdiction:
United Kingdom of Great Britain and Northern Ireland

Usage

Data Use Limitation:
No restriction
Data Use Requirements:
  • Collaboration required
  • Institution-specific restrictions
  • Project-specific restrictions
  • Time limit on use
  • User-specific restriction
Resource Creator:
  • NHS NWL ICS
  • London SDE

Format and Standards

Vocabulary Encoding Scheme:
  • LOCAL
  • NHS NATIONAL CODES
  • ODS
Conforms To:
  • NHS DATA DICTIONARY
  • LOCAL
Language:
English
Format:
  • Excel
  • SQL
  • Tableau
  • R

Enrichment and Linkage

Publication About Dataset:
Bottleet al. BMC Medical Informatics and Decision Making (2020) 20:71 https://doi.org/10.1186/s12911-020-1082-7

Linkable Datasets

PID
Title
URL
Each patient will be identified by an unique patient key that can be used to link to all other datasets available within London Analytics Platform

Observations

Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
145853
Count
10 December 2025
Persons
23366
Count
10 December 2025