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 across…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Originality/value
This study is the first to highlight the factors affecting successful implementation of MHFA across a range of UK workplaces.
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Sharon Davenport and Ann Underhill
This study aims to explore which outcome measures are used by occupational therapy staff in adult social care settings in the UK, and the factors affecting use of outcome measures.
Abstract
Purpose
This study aims to explore which outcome measures are used by occupational therapy staff in adult social care settings in the UK, and the factors affecting use of outcome measures.
Design/methodology/approach
A quantitative descriptive research design was used, using a cross-sectional study to explore occupational therapy staff views on the use of outcome measures. A 38-question survey was developed on Microsoft Forms. Recruitment occurred online over a three-week period in 2021 via the social media platform “Twitter”. Results were analysed using Excel using descriptive statistics and qualitative results used thematic analysis.
Findings
Participants (n = 20) used a range of outcome measures (13) in adult social care settings in the previous 12 months. Standardised measures were used by half the sample in the previous 12 months. The Therapy Outcome Measure and Barthel Index were in most use. The breadth of adult social care practice and practical factors such as caseload and lack of a meaningful tool were found to be barriers to outcome measure use. Facilitators included service improvement, accountability, use of audit and professional occupational therapy leadership.
Research limitations/implications
The overall use of outcome measures can be considered low in this setting, with manager support seen to be key to the use of outcome measures. Further research is needed to investigate nationwide use.
Practical implications
Training, time and manager support are key to use of standardised tests and outcome measures in the adult social care settings. The use of occupational performance measures should be considered to demonstrate unique professional impact.
Originality/value
This contemporary study reveals use of outcome measures within occupational therapy adult social care services in the UK, which is an under researched and under published area.
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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 of DfAM…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.