Background Simulation-based training used to train healthcare teams’ skills and improve clinical practice has evolved in recent decades. While it is evident that technical skills training is beneficial, the potential of human factor training has not been described to the same extent. Research on human factor training has been limited to marginal and acute care scenarios and often to validate instruments. This systematic review aimed to investigate the effectiveness of simulation-based training in improving in-hospital qualified healthcare teams’ human factor skills. Method A review protocol outlining the study was registered in PROSPERO. Using the PRISMA guidelines, the systematic search was conducted on September 28th, 2021, in eight major scientific databases. Three independent reviewers assessed title and abstract screening; full texts were evaluated by one reviewer. Content analysis was used to evaluate the evidence from the included studies. Results The search yielded 19,767 studies, of which 72 were included. The included studies were published between 2004 and 2021 and covered research from seven different in-hospital medical specialisms. Studies applied a wide range of assessment tools, which made it challenging to compare the effectiveness of human factor skills training across studies. The content analysis identified evidence for the effectiveness. Four recurring themes were identified: (1) Training human factor skills in qualified healthcare teams; (2) assessment of human factor skills; (3) combined teaching methods, and (4) retention and transfer of human factor skills. Unfortunately, the human factor skills assessments are variable in the literature, affecting the power of the result. Conclusion Simulation-based training is a successful learning tool to improve qualified healthcare teams’ human factor skills. Human factor skills are not innate and appear to be trainable similar to technical skills, based on the findings of this review. Moreover, research on retention and transfer is insufficient. Further, research on the retention and transfer of human factor skills from simulation-based training to clinical practice is essential to gain knowledge of the effect on patient safety.

The Danish Ministry of Culture has funded a project to set up a model for costing preservation of digital materials held by national cultural heritage institutions. The overall objective of the project was to increase cost effectiveness of digital preservation activities and to provide a basis for comparing and estimating future cost requirements for digital preservation. In this study we describe an activity-based costing methodology for digital preservation based on the Open Archice Information System (OAIS) Reference Model. Within this framework, which we denote the Cost Model for Digital Preservation (CMDP), the focus is on costing the functional entity Preservation Planning from the OAIS and digital migration activities. In order to estimate these costs we have identified cost-critical activities by analysing the functions in the OAIS model and the flows between them. The analysis has been supplemented with findings from the literature, and our own knowledge and experience. The identified cost-critical activities have subsequently been deconstructed into measurable components, cost dependencies have been examined, and the resulting equations expressed in a spreadsheet. Currently the model can calculate the cost of different migration scenarios for a series of preservation formats for text, images, sound, video, geodata, and spreadsheets. In order to verify the model it has been tested on cost data from two different migration projects at the Danish National Archives (DNA). The study found that the OAIS model provides a sound overall framework for the cost breakdown, but that some functions need additional detailing in order to cost activities accurately. Running the two sets of empirical data showed among other things that the model underestimates the cost of manpower-intensive migration projects, while it reinstates an often underestimated cost, which is the cost of developing migration software. The model has proven useful for estimating the costs of preservation planning and digital migrations. However, more work is needed to refine the existing equations and include the other functional entities of the OAIS model. Also the user-friendliness of the spreadsheet tool must be improved in future versions of the model. The CMDP is presently closing its second phase, where it has been extended to include the OAIS Functional Entity Ingest. This has also enabled us to adjust the theoretical model further, especially regarding the accuracy and precision of the model and in relation to the underlying parameters used in the equations, such as migration frequency and format complexity. Understanding the nature of digital preservation cost is prerequisite for increasing the overall efficiency, and achieving first quality for preservation of cultural heritage materials.

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