Version: 1.0.3 | Published: 21 Aug 2026 | Updated: 20 days ago
Summary
Documentation
Associated Media:
Description:
The North West London Liaison Psychiatry (NWL LP) dataset is a comprehensive collection of data related to liaison psychiatry services in the North West London region. Liaison psychiatry involves the integration of mental health care with other healthcare specialties, particularly in the hospital setting, to address the mental health needs of patients with complex medical conditions. This dataset encompasses a wide range of variables, including patient demographics, referral sources, presenting problems, psychiatric diagnoses, interventions provided, length of stay, and outcomes. It provides valuable insights into the utilization, effectiveness, and impact of liaison psychiatry services on patient care and outcomes. Researchers, healthcare administrators, and policymakers can utilize this dataset to analyze the demand and patterns of liaison psychiatry referrals, evaluate the effectiveness of interventions, identify gaps in service provision, and assess the integration of mental health care into medical settings. The dataset enables the exploration of factors influencing patient outcomes, readmission rates, and the quality of collaborative care between mental health professionals and medical teams. Healthcare administrators can leverage the NWL LP dataset to monitor performance indicators, allocate resources effectively, and implement quality improvement initiatives to enhance the delivery of liaison psychiatry services. Policymakers can use the dataset to inform policy decisions, develop guidelines for service provision, and prioritize funding allocations to support integrated mental health care models. The NWL LP dataset also supports benchmarking and comparisons across different liaison psychiatry services within the North West London region, facilitating the sharing of best practices and driving improvements in care coordination and patient outcomes. In summary, the North West London Liaison Psychiatry (NWL LP) dataset provides a valuable resource for understanding and improving liaison psychiatry services in the region. It enables evidence-based decision-making, enhances collaboration between mental health and medical professionals, and contributes to the provision of comprehensive care for patients with complex medical and psychiatric needs.
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:
This dataset contains all Liaison Psychiatry performed by West London NHS Trust
(RKL) & Central and North West London NHS Foundation Trust (RV3). Each patient
will be identifed using an unique patient key, patient keys can be used to link
to other datasets to understand the patient pathway.
Provenance
Origin
Purpose:
- Administrative
- Care
- Other
Dataset Type:
- Health and disease
- Treatments/Interventions
Dataset Sub-Type:
Mental health
Source:
EPR
Collection Source:
- Secondary care - Outpatients
- Secondary care - In-patients
- Secondary care - Accident and Emergency
Image Contrast:
No
Temporal
Publishing Frequency:
Monthly
Distribution Release Date:
01 April 2024
Start Date:
01 April 2021
Time Lag:
1-2 months
Accessibility
Access
Access Rights:
London Secure Data Environment Enquiry Form
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, MFA (multi-factor
authentication) and OAUTH (open authentication). 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 secure data
environment disclosure control standards.
Access Request Cost:
Access costs will be determined on a project-by-project basis and will depend on
the specific data requirements, platform setup, and any additional services
needed to deliver the project successfully.
Delivery Lead Time:
1-2 months
Data Controller:
Participating London health care organisations act as Joint Data Controllers
within the London SDE. These organisations include for example GP Practices and
Acute Providers from across London.
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. NHS North East London ICB hosts
OneLondon and operates the London Data Service (LDS) as a data processor on
behalf of those organisations, whilst Imperial College Healthcare NHS Trust
hosts the London Analytics Platform (LAP), with Imperial NHS Trust acting as the
data processor for data processing activities undertaken within the platform.
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
- ICD10
Conforms To:
- NHS DATA DICTIONARY
- LOCAL
Language:
English
Format:
Text
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
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 SDE Platform
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Events
111823
Count
09 April 2026
Persons
53673
Count
09 April 2026
Origin
Name:
London SDE