Version: 1.0.4 | Published: 19 May 2026 | Updated: 10 days ago
Summary
Documentation
Associated Media:
Description:
The Adult Social Care Outcomes Framework (ASCOF) measures how well care and support services achieve the outcomes that matter most to people. The measures are grouped into four domains which are typically reviewed in terms of movement over time. These domains are:
Enhancing quality of life for people with care and support needs
Delaying and reducing the need for care and support
Ensuring that people have a positive experience of care and support
Safeguarding adults whose circumstances make them vulnerable and protecting from avoidable harm
The ASCOF aims to give an indication of the strengths and weaknesses of social care in delivering better outcomes for people who use services. This report will be of interest to:
Central government - for policy development and monitoring, and for parliamentary questions and Prime Minister's Questions
Councils with Adult Social Services Responsibilities (CASSRs) - for measuring local performance and for benchmarking against other CASSRs
Charities
Academics
the general public.
In Pipeline:
Available
Coverage
Spatial:
- United Kingdom
- England
- London
- Brent
- Ealing
- Hammersmith and Fulham
- Harrow
- Hillingdon
- Hounslow
- Kensington and Chelsea
- Westminster
Typical Age Range Min:
0
Typical Age Range Max:
150
Material Type:
None/not available
Follow Up:
> 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:
Monthly
Distribution Release Date:
18 December 2019
Start Date:
01 January 2015
Time Lag:
1-2 months
Accessibility
Access
Access Rights:
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
Investigations:
Publication About Dataset:
Bottleet al. BMC Medical Informatics and Decision Making (2020) 20:71 https://doi.org/10.1186/s12911-020-1082-7
Derived From
PID
Title
URL
Long Term Conditions Electronic Frailty Index Q-Admissions Patient Segments Risk Segments
Linkable Datasets
PID
Title
URL
This can be linked to: Admitted Patient Care Outpatient Care High Cost drugs Patient level data Primary care events Primary care prescriptions Accident and Emergency Mental Health Community
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Persons
registered population
26354
count
20 October 2022
Persons
46288
Count
08 December 2020
Origin
Name:
NWL Data Catalogue