Social Care and Society / Work programme 3

Work programme 3

Innovative use of data to improve social care practice

Work programme 3 focuses on using routinely held social care data, linking social care and health data, and developing data collection and dissemination solutions to stimulate new, innovative ways to benefit social care evaluation and practice.

Projects

Background

Developed through partnership with local authorities in Greater Manchester (City of Manchester, Stockport, and Salford councils), projects in this programme seek to harness the routinely held social care data that is collected within local authorities and use it for research studies to offer benefits to service delivery and to service users.  We are doing this through genuine partnerships with local authorities, responding to their concerns with using data more creatively and widely to examine and evaluate services and share learning with other local authorities and government. 

Our SC-SVI project aims to investigate the viability of constructing a tool for social care, predicting well-being and threats to well-being, amongst older service users.  The project aims to help local authorities with their responsibilities under the Care Act, through the collection and analyses of administrative social care data.  We also investigate how innovative text-mining methods could be used to create new data items for social care analysis, to help predict well-being and impediments to well-being.  The study also focuses on aspects of routine data in social care highlighted in the recent social care White Paper, People at the Heart of Care.

Our partners

Aims

We aim to investigate how routinely generated social care data, linked to NHS data if needed, can be used for research and to evaluate policies and practice. We are also interested in how these data could help professional staff, such as social workers, in their work with service users or may be used in population care planning and strategic management and evaluation. We aim to generate findings and learning that could be of benefit to local authorities outside the region and to the emerging Integrated Care organisations.

Our aims include:

  • Working out how data analysed in a research context might support assessments within local authority social care organisations or might be used to monitor local strategies and plans.
  • Partnership working between university researchers and local authority data officers, in analysing social care data for research.
  • Working up systems to embed research into practice, for example by sharing learning on how data analysis could be embedded in reporting systems to aid decision making. 
  • Tackling IT governance/technical issues to prepare routinely held social care data and integrating these with local NHS data for research.

What we are doing

We are working alongside local authority staff – data analysts, managers and practitioners – to collect and analyse the data, address issues and challenges and sharing learning across local authorities more widely. 

 

Our team

  • Paul Clarkson – Principal Investigator/Lead, Senior Lecturer in Social Care, Social Care and Society
  • Catherine Robinson – Professor of Social Care, Social Care and Society
  • Sue Davies – Research Associate, Social Care and Society
  • Fiona Lerigo – Research Associate, Social Care and Society
  • Dr Glen Martin – Senior Lecturer in Health Data Sciences, Division of Informatics, Imaging & Data Sciences
  • Professor Goran Nenadic – Professor of Computer Science, University of Manchester
  • Paul Hine, Made by Mortals CIC, Ashton, Greater Manchester 

Other work programmes:

The University of Manchester