Low-cost simulation in health professions education: A bibliometric analysis and literature review of 20 years of research

Abstract

Introduction

Gaining practical experience in health professions education is a significant challenge. Simulation-based training has emerged as a key solution to this issue, but the high costs associated with advanced equipment and software limit accessibility for many institutions. Hence, to close this gap, this study aims to map the research field of low-cost simulation in health professions education through a bibliometric analysis.

Methods

Utilizing a bibliometric study design, we analyzed publications from 2003 to 2022 in the Scopus Database, in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. Publications discussing low-cost simulation in English were included. Data points such as research design, study location, and outcomes were extracted. The Scival Platform and VosViewer were used to analyze publication trends, prolific institutions, authors, journals, and conceptual and intellectual structure.

Results

The study found an increase in low-cost simulation research from 2003 to 2022, with significant growth after 2015. Observational studies predominated (68.57%), with general surgery being the most studied specialty. Less than half of the studies reported cost details, and only 2 compared the low-cost model with a standard. The United States led in scientific production, with notable collaboration networks. The keyword co-occurrence and co-citation analyses highlighted 4 main clusters in low-cost simulation research, emphasizing surgical training.

Conclusions

This investigation highlights the expanding interest in low-cost simulation to enhance access to hands-on training in health professions education, especially under financial constraints. However, the research field requires further development, particularly in validating these models against their more expensive counterparts. Such validation is crucial for ensuring the effectiveness and comparability of low-cost simulation.