Influence of simulation design on stress, anxiety and self-confidence of nursing students: Systematic review with meta-analysis

AimTo evaluate the simulation design characteristics that may influence the stress, anxiety and self-confidence of undergraduate nursing students during learning. DesignSystematic review with meta-analysis. Data SourcesSearchers were conducted in October 2020 and updated in August 2022 in the databases CENTRAL, CINAHL, Embase (R), ERIC, LILACS, MEDLINE, PsycINFO (R), Scopus and Web of Science, PQDT Open (ProQuest), BDTD, Google Scholar and specific journals on simulation. Review MethodsThis review was conducted according to the recommendations of Cochrane Handbook for Systematic Reviews and reported according to the PRISMA Statement. Experimental and quasi-experimental studies that compared the effect of simulation on stress, anxiety and self-confidence of nursing students were included. The selection of studies and data extraction was performed independently by two reviewers. Simulation information was collected as prebriefing, scenario, debriefing, duration, modality, fidelity and simulator. Data summarization was performed by qualitative synthesis and meta-analytical methods. ResultsEighty studies were included in the review, and most reported in detail the structure of the simulation, contemplating prebriefing, scenario, debriefing and the duration of each step. In subgroup meta-analysis, the presence of prebriefing, duration of more than 60 min and high-fidelity simulations helped reduce anxiety, while the presence of prebriefing and debriefing, duration, immersive clinical simulation modalities and procedure simulation, high-fidelity simulations and use of mannequins, standardised patients and virtual simulators, contributed to greater students' self-confidence. ConclusionsDifferent modulations of simulation design components imply reduction of anxiety and increased self-confidence in nursing students, especially highlighting the quality of the methodological report of simulation interventions. Relevance to Clinical PracticeThese findings help to support the need of more rigorous methodology in simulation designs and research methods. Consequently, impact on the education of qualified professionals prepared to work in clinical practice.No Patient or Public Contribution.