Introduction to the Transforming Dementia Care in Hospitals Series

A short series of articles in Nursing Older People, starting in September, presents case study examples of the positive work achieved by trusts that participated in the RCN’s development programme to improve dementia care in acute hospitals. This introductory article reports on the independent evaluation of the programme. The programme included a launch event, development days, site visits, ongoing support by the RCN lead and carer representatives and a conference to showcase service improvements. The evaluation drew on data from a survey, the site visits, trust action plans and a range of self-assessment tools for dementia care. The findings highlight substantial progress towards programme objectives and learning outcomes and suggest that the programme provided the focus, impetus and structure for trusts to make sustainable changes. It also equipped participants with the strategies and confidence to change practice. Recommendations are made for taking the programme forward.

Defining Spatial and Temporal Hydromorphological Sampling Strategies for the Leigh Brook River Site

Detailed surveys of depth and velocity are undertaken to describe hydro-ecological status of rivers. Fieldwork for these surveys is time consuming and expensive. This paper aims to describe the methodology applied in order to determine the most suitable depth sampling strategy for effective field data collection and river representation in time and space at the Leigh Brook river site, Worcester, UK. The accuracy of three different sampling strategies for predicting depth at non-measured points has been compared and the mesohabitats that better characterise depth changes due to variations in discharge have been identified. The results show that depth changes due to discharge change are mainly located at shallow and deep glide mesohabitat types. The analysis for the comparison of sampling strategies indicates that grid sampling strategies give better results than regular transects. Since the results also show that higher errors in predictions are obtained in the deepest areas, higher sampling densities should be applied in these locations.