Introduction: Writing Readiness Inventory Tool In Context (WRITIC) is an activity-based assessment tool to evaluate which kindergarten children are at risk of developing handwriting difficulties. WRITIC-assessment is valid, reliable, feasible, predictive, and norm-referenced. Broad international interest in translating WRITIC-assessment exists.Objectives: Making WRITIC available to professionals internationally to enable participation in handwriting at school. Methods: Composing translation teams with universities in different countries, back- and forth translation, cross-cultural assessment adaptation, carrying out feasibility and validation studies, starting courses for training the professionals.Results: Translation teams have been started in different countries resulting in an English, Portuguese and Slovenian translation, validation studies in Flanders, UK, Portugal and Slovenia and translation projects in Greece, Bulgaria, Germany, Austria, and Switzerland. A Figshare environment was developed to safely store, exchange the data and to support international research. An international digital platform has been constructed to sell e-manuals, share e-learning and support people worldwide.Conclusion: The translation and cross-cultural adaptation in different languages and the international digital platform made WRITIC-assessment accessible to children’s therapists around the world with the same results: enabling school participation of all children in contributing to inclusive education.
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Objectives Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions. Methods A scoping review was conducted using the Arksey and O’Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics,level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting. Results Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results. Conclusion SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.
Crime script analysis as a methodology to analyse criminal processes is underdeveloped. This is apparent from the various approaches in which scholars apply crime scripting and present their cybercrime scripts. The plethora of scripting methods raise significant concerns about the reliability and validity of these scripting studies. In this methodological paper, we demonstrate how object-oriented modelling (OOM) could address some of the currently identified methodological issues, thereby refining crime script analysis. More specifically, we suggest to visualise crime scripts using static and dynamic modelling with the Unified Modelling Language (UML) to harmonise cybercrime scripts without compromising their depth. Static models visualise objects in a system or process, their attributes and their relationships. Dynamic models visualise actions and interactions during a process. Creating these models in addition to the typical textual narrative could aid analysts to more systematically consider, organise and relate key aspects of crime scripts. In turn, this approach might, amongst others, facilitate alternative ways of identifying intervention measures, theorising about offender decision-making, and an improved shared understanding of the crime phenomenon analysed. We illustrate the application of these models with a phishing script.
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