
doi: 10.54531/hdfo1298
Introduction Scoping reviews are widely used across healthcare disciplines to synthesize evidence, explore broad research questions and identify gaps in the literature. Despite their increasing prevalence, the application of scoping reviews within healthcare simulation is not well understood. Research questions/objectives This study aims to address this gap by mapping how scoping reviews are being utilized in healthcare simulation research and identifying gaps in current practice. The primary objectives are to quantify published scoping reviews in healthcare simulation, assess adherence to established scoping review methodologies and identify research questions addressed in these reviews. Methods This scoping review will be conducted following the JBI framework and reported as per the PRISMA-ScR standards. A systematic search will target databases including Embase, PubMed, CINAHL, Web of Science and Scopus. Eligible studies will include peer-reviewed scoping reviews or protocols focussing on any aspect of healthcare simulation. Analysis will involve quantitative and qualitative descriptions, supported by consultation with knowledge users for refinement and validation. Conclusions This paper describes a scoping review protocol that will provide insights into the use of scoping reviews in healthcare simulation, highlighting trends in methodology, identifying knowledge gaps and offering guidance for future research. The findings will enhance our understanding of how scoping reviews have been and could be applied in the context of healthcare simulation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
