Funder: Department of Health and Social Care
Adult Social Care Client Level Data (ASC-CLD)
Adult Social Care Client Level Data (ASC-CLD) is a DHSC project set up as an extension to a North West pilot, building on the pilot's successes of working to a standardised social care data specification and linking this data with health data to provide a more holistic view of their system. The pilot system collected and analysed client-level adult social care data from participating local authorities who provided the mandatory information specified, to support local health and care systems. The client level data specification has now been agreed in collaboration with social care data leads from 21 local authorities (LAs) who represent all regions in England and the Directions were then published in December 2020 to allow ASC CLD data submissions. Its purpose is to: 1. Monitor, at a population level, particular cohorts of service users and designing analytical models which support more effective interventions in health and adult social care. 2. Monitor service and integrated care outcomes across a pathway or care setting involving adult social care. 3. Develop, through evaluation of person-level data, more effective prevention strategies and interventions across a pathway or care setting involving adult social care. 4. Design and implement new payment models across health and adult social care. 5. Understand current and future population needs and resource utilisation for local strategic planning and commissioning purposes including for health, social care and public health needs.
Adult Social Care Workforce Survey (ASCWS)
The Workforce Survey was a voluntary survey completed by CQC-registered care homes and domiciliary care providers via the Capacity Tracker. It ran for a month from 13th September to 14th October, 2021, and aimed to gain insight into the scale of workforce challenges and specific areas of concern.
Skills for Care: Adult Social Care Workforce Data Set (ASC-WDS)
Skills for Care's Adult Social Care Workforce Data Set (ASC-WDS) is recognised as the leading source of high quality data and workforce intelligence for adult social care in the UK. The ASC-WDS collects information online about providers offering a social care service and their employees. Social care providers register and then maintain information on the ASC-WDS website. Repots and visualisations cover topics such as recruitment and retention, sickness, pay rates, qualifications and demographics.
Assuring Transformation (AT)
Assuring Transformation collects data to monitor the progress in moving people with learning disabilities from inpatient to community settings. Data is collected about people with a learning disability, autism or both who are getting care in hospitals for their mental health or because they have had behaviour that can be challenging. Data is collected via the NHS Digital Clinical Audit Platform (CAP) on an ongoing basis. Submitters are expected to keep data held in this system up to date and reflect changes as and when they occur. This information tells policy makers: how many people are in hospital; how long they have been in hospital for; when their care and treatment is checked; what kind of hospital they are in.
Health Survey for England (HSE)
The Health Survey for England monitors trends in the nation’s health and care, providing information about adults aged 16 and over, and children aged 0 to 15, living in private households in England. Each survey includes core questions (e.g. about smoking, alcohol, general health); measurements such as height, weight, and blood pressure; and analysis of blood and saliva samples. In addition, there are question modules on specific topics that vary from year to year.
English Longitudinal Study of Ageing (ELSA)
The English Longitudinal Study of Ageing (ELSA) is a longitudinal study that collects multidisciplinary data from a representative sample of the English population aged 50 and older. The survey data are designed to be used for the investigation of a broad set of topics relevant to understanding the ageing process including economic position, physical and mental health, labour market activity, retirement and social networks.