Supporting Completion of an Online Continuing Professional Development Programme For Newly Qualified Practitioners: a Qualitative Evaluation

Background: Development programmes to support newly qualified practitioners gain confidence in their first professional role often show varied levels of engagement, due to competing priorities and demands. In Scotland, the Flying Start NHS® programme uses a structured programme of online and work-based learning with associated mentoring, to support individuals through an often difficult transition to become capable, confident practitioners. . Whilst the programme was generally well received, the factors leading to widely varying completion rates between professions and organisations were not well understood. Aim: to identify the factors leading to successful completion of Flying Start, a transition programme for newly qualified practitioners. Method: A qualitative approach was adopted to gather data from two groups of participants. Semi-structured telephone interviews were conducted with strategic and management level participants (n=23), from five health boards in Scotland. Semi-structured interviews (n=22) and focus groups (n=11) were conducted with practitioners within 6 months either side of completing the programme. The interviews were transcribed and analysed using framework analysis. Results: Four key themes related to successful completion emerged from the analysis: organisational support; the format of the programme; understanding completion; motivation and incentives to complete. Factors leading to successful completion were identified at programme, organisational and individual level. These included clear communication and signposting, up-to-date and relevant content, links with continuing professional development frameworks, effective leadership, mentor and peer support, setting clear standards for assessment, and facilitating appropriate IT access. Conclusions: A strong strategic commitment to embedding a development programme for newly qualified practitioners can ensure the necessary support is available to encourage timely completion. The mentor’s role - to provide face-to-face support - is identified as a key factor in completion and is achieved through setting attainable targets, monitoring progress, and providing motivation. However organisational structures that facilitate the mentoring relationship are also necessary.

A Community-Level, Mesoscale Analysis of Fish Assemblage Structure in Shoreline Habitats of a Large River Using Multivariate Regression Trees.

The mesoscale (100–102 m) of river habitats has been identified as the scale that simultaneously offers insights into ecological structure and falls within the practical bounds of river management. Mesoscale habitat (mesohabitat) classifications for relatively large rivers, however, are underdeveloped compared with those produced for smaller streams. Approaches to habitat modelling have traditionally focused on individual species or proceeded on a species-by-species basis. This is particularly problematic in larger rivers where the effects of biological interactions are more complex and intense. Community-level approaches can rapidly model many species simultaneously, thereby integrating the effects of biological interactions while providing information on the relative importance of environmental variables in structuring the community. One such community-level approach, multivariate regression trees, was applied in order to determine the relative influences of abiotic factors on fish assemblages within shoreline mesohabitats of San Pedro River, Chile, and to define reference communities prior to the planned construction of a hydroelectric power plant. Flow depth, bank materials and the availability of riparian and instream cover, including woody debris, were the main variables driving differences between the assemblages. Species strongly indicative of distinctive mesohabitat types included the endemic Galaxias platei. Among other outcomes, the results provide information on the impact of non-native salmonids on river-dwelling Galaxias platei, suggesting a degree of habitat segregation between these taxa based on flow depth. The results support the use of the mesohabitat concept in large, relatively pristine river systems, and they represent a basis for assessing the impact of any future hydroelectric power plant construction and operation. By combing community classifications with simple sets of environmental rules, the multivariate regression trees produced can be used to predict the community structure of any mesohabitat along the reach.