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Melanie Jay Narayanasamy, Louise Thomson, Carol Coole, Fiona Nouri and Avril Drummond
There has been little research into the use and efficacy of Mental Health First Aid (MHFA) across UK workplaces. This paper aims to investigate the implementation of MHFA…
There has been little research into the use and efficacy of Mental Health First Aid (MHFA) across UK workplaces. This paper aims to investigate the implementation of MHFA across six UK organisations, identifying key barriers and facilitators.
Twenty-seven workplace representatives were recruited from six organisations through purposive sampling and took part in semi-structured interviews exploring their experiences of workplace MHFA. The data underwent thematic analysis, identifying key themes around implementation.
Implementation varied across organisations, including different reasons for initial interest in the programme, and variable ways that MHFA-trained employees operated post-training. Key barriers to successful implementation included negative attitudes around mental health, the perception that MHFA roles were onerous, and employees’ reluctance to engage in the MHFA programme. Successful implementation was perceived to be based on individual qualities of MHFA instructors and good practice demonstrated by trained individuals in the workplace. The role of the inner organisational setting and employee characteristics were further highlighted as barriers and facilitators to effective implementation.
MHFA is a complex intervention, presenting in different ways when implemented into complex workplace settings. As such, traditional evaluation methods may not be appropriate for gaining insights into its effectiveness. Future evaluations of workplace MHFA must consider the complexity of implementing and operationalising this intervention in the workplace.
This study is the first to highlight the factors affecting successful implementation of MHFA across a range of UK workplaces.
Anton Wiberg, Johan Persson and Johan Ölvander
This paper aims to review recent research in design for additive manufacturing (DfAM), including additive manufacturing (AM) terminology, trends, methods, classification…
This paper aims to review recent research in design for additive manufacturing (DfAM), including additive manufacturing (AM) terminology, trends, methods, classification of DfAM methods and software. The focus is on the design engineer’s role in the DfAM process and includes which design methods and tools exist to aid the design process. This includes methods, guidelines and software to achieve design optimization and in further steps to increase the level of design automation for metal AM techniques. The research has a special interest in structural optimization and the coupling between topology optimization and AM.
The method used in the review consists of six rounds in which literature was sequentially collected, sorted and removed. Full presentation of the method used could be found in the paper.
Existing DfAM research has been divided into three main groups – component, part and process design – and based on the review of existing DfAM methods, a proposal for a DfAM process has been compiled. Design support suitable for use by design engineers is linked to each step in the compiled DfAM process. Finally, the review suggests a possible new DfAM process that allows a higher degree of design automation than today’s process. Furthermore, research areas that need to be further developed to achieve this framework are pointed out.
The review maps existing research in design for additive manufacturing and compiles a proposed design method. For each step in the proposed method, existing methods and software are coupled. This type of overall methodology with connecting methods and software did not exist before. The work also contributes with a discussion regarding future design process and automation.