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Igor Karnjuš, Kristina Martinović, Jakob Renko, and Patrik Pucer

                  and feasible, it lacks validation for real and simulated paediatric and clinical
                  events (Couto et al., 15).
                    Another tool that also produced positive results in terms of psychomet-
                  ric properties was the T-NOTECHS tool. The T-NOTECHS was developed to
                  teach and assess the teamwork skills in multidisciplinary trauma resuscita-
                  tion teams (Pires et al., 17). The tool is divided into five domains: leadership,
                  cooperation and resource management, communication and interaction, as-
                  sessment and decision-making, and situation awareness/coping with stress
                  (Briggs et al., 15). The T-NOTECHS shows good construct validity and mod-
                  erate internal consistency and inter-rater agreement (Repo et al., 19). It has
                  good sensitivity with adequate content validity, face validity and feasibility,
                  but further evidence is needed to support its reliability in real-time settings
                  (Stevenson et al., ).
                    Other tools included in this review require further investigation to fully as-
                  sess their quality before they can be recommended for use in multidiscipli-
                  nary simulation training. Five NTS tools received a generally positive rating
                  for their inter-rater reliability and internal consistency, with at least moderate
                  quality evidence, but further testing is needed to assess their construct va-
                  lidity. Importantly, none of the tools in this review were deemed unsuitable
                  for multidisciplinary simulation training, as there was no strong evidence of
                  inadequacies in their psychometric properties.
                    In our literature review, we focused exclusively on tools used to assess NTS
                  in multidisciplinary teams. Higham et al. (19) state that it is crucial that each
                  assessment tools be customised for the specific medical speciality and stage
                  of training. Given the distinctive characteristics of different medical special-
                  ities, individual disciplines have sought to develop more targeted tools to
                  assess more specific NTS. In health care, over 7 different assessment tools
                  for NTS have been developed over the years, posing challenges for educators
                  when selecting the most suitable one. Moreover, there is increasing recog-
                  nition of the need for multidisciplinary simulation-based training to foster
                  collaboration between healthcare professionals, as it enhances teamwork
                  and communication as the fundamental skills for optimal patient care (Elen-
                  du et al., 4). In order to facilitate this, it is essential to have tools that assess
                  broader NTS that are vital for effective interprofessional collaboration.
                    The increasing use of digital simulation technologies, encompassing vir-
                  tual reality (VR), augmented reality (AR), and artificial intelligence-driven
                  training tools, has led to substantial advancements in the field of healthcare
                  simulation-based education. These technologies offer an immersive and in-
                  teractive learning environment, enabling multidisciplinary healthcare teams


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