Simulation modeling to assess performance of integrated healthcare systems: Literature review to characterize the field and visual aid to guide model selection

Crisis-ready educational skills of life support in newborns and adults' scenarios: the impact of simulation-based training on student proficiency

OBJECTIVE

Aim: To assess the impact of multidisciplinary simulation training on the educational outcomes of medical students in the emergency care of adults and newborns and implement changes in the curriculum to master simulation scenarios more.

PATIENTS AND METHODS

Materials and Methods: To assess the differences in learning outcomes between medical students who study the same curriculum without simulation interventions and those who undergo multidisciplinary emergency care simulation training. A quasi-experimental approach was used to assign students to the Intervention Group or the Control Group.

RESULTS

Results: According to individual criteria, the lowest scores in both groups were obtained for the stages that required the greatest accuracy and correct technique. After the appropriate cycle of initiation, the results in both groups improved significantly, but the results of students from the first group were significantly higher than those of students from the second group. Despite the absence of a significant difference in the average overall score for the skills, students in the first group significantly improved the accuracy and correctness of the criteria that assess the technical aspects of performance, while students in the second group mainly improved the quality of the descriptive and communicative parts of the practical skill.

CONCLUSION

Conclusions: We believe that reallocating curricular time to additional hours dedicated to simulation scenarios will better prepare aspiring healthcare professionals for the demanding and dynamic nature of their career, as we continue to increase our understanding of the potential of simulation-based education.

System dynamics modeling for cancer prevention and control: A systematic review

Cancer prevention and control requires consideration of complex interactions between multilevel factors. System dynamics modeling, which consists of diagramming and simulation approaches for understanding and managing such complexity, is being increasingly applied to cancer prevention and control, but the breadth, characteristics, and quality of these studies is not known. We searched PubMed, Scopus, APA PsycInfo, and eight peer-reviewed journals to identify cancer-related studies that used system dynamics modeling. A dual review process was used to determine eligibility. Included studies were assessed using quality criteria adapted from prior literature and mapped onto the cancer control continuum. Characteristics of studies and models were abstracted and qualitatively synthesized. 32 studies met our inclusion criteria. A mix of simulation and diagramming approaches were used to address diverse topics, including chemotherapy treatments (16%), interventions to reduce tobacco or e-cigarettes use (16%), and cancer risk from environmental contamination (13%). Models spanned all focus areas of the cancer control continuum, with treatment (44%), prevention (34%), and detection (31%) being the most common. The quality assessment of studies was low, particularly for simulation approaches. Diagramming-only studies more often used participatory approaches. Involvement of participants, description of model development processes, and proper calibration and validation of models showed the greatest room for improvement. System dynamics modeling can illustrate complex interactions and help identify potential interventions across the cancer control continuum. Prior efforts have been hampered by a lack of rigor and transparency regarding model development and testing. Supportive infrastructure for increasing awareness, accessibility, and further development of best practices of system dynamics for multidisciplinary cancer research is needed.