In this article, the authors apply the intervention mapping (IM) protocol to develop safety leadership training for a rail infrastructure maintenance company. The IM protocol helps to create an evidence-based intervention in a structured way, based on concrete evidence. The application of IM within the occupational safety domain is limited, a research gap that this article bridges with the development and testing of a safety leadership intervention to promote safety behavior among managers. The company was positively and actively engaged in the training program thanks to the IM protocol. The local support group took full advantage of the opportunities to provide input during the development of the training’s various components. Despite this, interpersonal problems within the leadership team itself, such as a lack of psychological safety, were not identified during the needs assessment. These issues had an impact on the overall effectiveness of the training, as they manifested during the training when managers met physically for the first time in several years (due to the coronavirus). Our IM protocol will be adjusted accordingly for future applications, and we hope that sharing our experiences will enable fellow researchers to avoid this problem.@en

Last minute risk assessment (LMRA) is a well-known work method to support employees’ risk perception. However, little is known about the effectiveness of LMRA in providing this support. Here, we describe an eye-tracking experiment with which we attempted to gain more insight into the relationship between LMRA and risk perception and to assess the difference between generic and specific supporting questions. Employees from an international energy production and desalination company participated in this experiment by assessing photographs portraying a (staged) work situation and deciding whether it was safe enough to continue activities and which risk factors were present or absent. The results show a consistent interaction effect over several parameters between work experience and the type of supporting questions, indicating that generic and specific supporting questions should be considered complimentary to each other. Furthermore, the results revealed several other challenges concerning real-world application of the LMRA.

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