Case studies

Cornwall is undoubtedly one of the most beautiful places to live in the UK, but for its local population it is one of the hardest areas to obtain high quality affordable housing.

Looking at best practice models to address future demand for both Adult Social Care users and Older Persons housing needs assessments in the Wokingham Borough.

The Housing LIN worked with Your Homes Newcastle to develop an evidence base in relation to the future requirements and expectations of older people for housing and support services.

Region: North West, West Midlands Theme: Integrated Public Services

This case study provides an overview of positive interventions and applied learning by Heritage Doncaster during Covid-19 lockdown.

Huntingdonshire District Council has worked with its local academic health science network to encourage cancer and cardiac rehab patients to become active and involved in the self-management of their recovery. Patients are being taught how to use remote monitoring technology, while taking part in exercise classes. This forms part of our resource on self care.

Staffordshire Council is developing effective ways to identify pre-school children sufficiently early and to engage their families with effective support, inspiration and practical help.

Led by a bid writing expert, this project reviewed Warwick District Council's approach to how it identifies and applies for external funding. This case study forms part of our productivity experts resource.

Hampshire County Council has adopted a new targeted approach to improving recycling behaviours. Aiming to wake people up from their recycling habits, a combination of digital and offline tactics were delivered across three pilots, including a pledge tool, bin wraps and volunteer outreach. Digital click-through rates reached six per cent, and the majority surveyed reported changing their recycling behaviours as a result of what they had seen. Additionally, contamination fell by four per cent in one pilot.

Buckinghamshire County Council’s Business Intelligence, Insight and Improvement team have worked collaboratively with the council’s SEND service to develop a complex predictive model to forecast demand and cost