Ageing Better, 2015-2020

DOI

Abstract copyright UK Data Service and data collection copyright owner.

Ageing Better was an £87 million, seven-year programme funded by The National Lottery Community Fund (2015-2022). It was delivered through 14 Voluntary, Community and Social Enterprise (VCSE) led partnerships in England. The programme aimed to improve the lives of people aged over 50 years old (e.g. reduce isolation and loneliness, increase involvement in the design of services).There was significant emphasis across the programme on evaluation and learning, in line with a programme aim to contribute to the evidence base. Ecorys were commissioned in 2014 to conduct the national evaluation, which was completed in September 2022. A monitoring system and impact study were designed to track participation and test if the programme led to positive changes in outcomes (e.g. social isolation, loneliness, well-being). This activity yielded a significant amount of data which are available as part of this study.The Common Measurement Framework dataset combines data from the participant questionnaire (collected throughout the evaluation) and the project participation data. The dataset includes responses from 35,920 participants across 366 projects (this compares to 140,886 participants recorded within the monitoring information).Further information about the programme is available from The National Lottery Community Fund Ageing Better project webpages. 

Main Topics:

The dataset combines the Ageing Better project participation data and participant questionnaire data. This covers the programme administration and evaluation, along with themes such as social isolation, loneliness and well-being.The following standardised scales and measures were used: Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L) European Quality of Life visual analogue scale (EQ VAS) 6-item De Jong Gierveld Loneliness scale University of California, Los Angeles (UCLA) Loneliness Scale

No sampling (total universe)

Face-to-face interview: Paper-and-pencil (PAPI)

Self-administered questionnaire

Identifier
DOI https://doi.org/10.5255/UKDA-SN-9118-1
Related Identifier https://www.tnlcommunityfund.org.uk/media/insights/documents/TNLCF-Impact-Evaluation-Report-Final-20.1.22-002.pdf?mtime=20220209144816&focal=none
Related Identifier https://www.tnlcommunityfund.org.uk/media/insights/documents/Methods-Note_Impact-Report-FINAL-VERSION_-2-to-TNLCF.pdf?mtime=20220204132552&focal=none
Related Identifier https://www.tnlcommunityfund.org.uk/media/insights/documents/Ageing-Better-summative-report.pdf?mtime=20221214115527&focal=none
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=5f1b080d78a7e44dd9a67e60d89a54c078106ea6c3ce44ce1040d886313b02cb
Provenance
Creator Ecorys UK; The National Lottery Community Fund
Publisher UK Data Service
Publication Year 2023
Funding Reference The National Lottery Community Fund
Rights <p><p>Copyright The National Lottery Community Fund<br></p></p>; <p>The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.</p><p>Commercial use is not permitted.</p>
OpenAccess true
Representation
Resource Type Numeric
Discipline Social Sciences
Spatial Coverage Isle of Wight; Greater Manchester; Cheshire; England