NHS Canterbury and Coastal CCG: Commissioning To use pseudonymised data to provide intelligence to support the commissioning of health services.

Data-sharing agreement from NHS Digital registers of approved data releases, 2014–2019. Evidence status: source reported.

Organisation: NHS Canterbury and Coastal CCG
Source reference: DARS-NIC-72994-C1X0P-v1.2
Jurisdiction: England
Licence: Open Government Licence v3.0, subject to NHS England terms and exclusions

Register reference: DARS-NIC-72994-C1X0P-v1.2
Agreement period: not published to no end date published
For commercial purposes (as marked in the register): Not stated
Release files listed by NHS England: 5

Data approved

Children and Young People Health
Improving Access to Psychological Therapies Data Set
Mental Health and Learning Disabilities Data Set
Mental Health Minimum Data Set
Mental Health Services Data Set

Objective, as published

Commissioning To use pseudonymised data to provide intelligence to support the commissioning of health services. The data (containing both clinical and financial information) is analysed so that health care provision can be planned to support the needs of the population within the CCG area. The CCGs commission services from a range of providers covering a wide array of services. Each of the data flow categories requested supports the commissioned activity of one or more providers. The following pseudonymised datasets are required to provide intelligence to support commissioning of health services: - Mental Health Minimum Data Set (MHMDS) - Mental Health Learning Disability Data Set (MHLDDS) - Mental Health Services Data Set (MHSDS) - Improving Access to Psychological Therapy (IAPT) - Child and Young People Health Service (CYPHS) The pseudonymised data is required to for the following purposes:  Population health management: • Understanding the interdependency of care services • Targeting care more effectively • Using value as the redesign principle  Data Quality and Validation – allowing data quality checks on the submitted data  Thoroughly investigating the needs of the population, to ensure the right services are available for individuals when and where they need them  Understanding cohorts of residents who are at risk of becoming users of some of the more expensive services, to better understand and manage those needs  Monitoring population health and care interactio…

Expected benefits, as published

1. Supporting Quality Innovation Productivity and Prevention (QIPP) to review demand management, integrated care and pathways. a. Analysis to support full business cases. b. Develop business models. c. Monitor In year projects. 2. Supporting Joint Strategic Needs Assessment (JSNA) for specific disease types. 3. Health economic modelling using: a. Analysis on provider performance against 18 weeks wait targets. b. Learning from and predicting likely patient pathways for certain conditions, in order to influence early interventions and other treatments for patients. c. Analysis of outcome measures for differential treatments, accounting for the full patient pathway. d. Analysis to understand emergency care and linking A&E and Emergency Urgent Care Flows (EUCC). 4. Commissioning cycle support…

Source: https://webarchive.nationalarchives.gov.uk/ukgwa/2019/https://digital.nhs.uk/binaries/content/assets/website-assets/services/dars/release-registers/releaseregister20190301_20190331.xlsx. Captured 2026-10-30.

Limitations: Agreement as recorded in an NHS Digital register of approved data releases (2014–2019), retrieved from the UK Government Web Archive. That register lists releases made in its period and the agreement's purpose statement as it then stood; it gives no agreement dates, and the agreement may have changed since. Imported only where a paper quotes a reference no current register holds.