Maternity Multiple Patient Simulation
• The literature is limited that specifically focuses on multiple patient simulation for nursing students enrolled in a maternity clinical course. • This simulation can be implemented in other nursing programs to enhance the high-level thinking involved with an unfolding multiple patient case that focuses on key maternity topics. • A maternity multiple patient simulation provides an opportunity to apply prioritization and delegation principles. Graduate nursing students are expected to care for multiple patients upon graduation and licensure. However, students may have limited exposure to multiple patient assignments in the clinical setting due to limited census, faculty to student ratios, and facility policy. It is critical to equip students with the necessary skills to manage multiple patient assignments in all nursing specialties to promote graduate nurse success. Limited literature exists regarding multiple patient simulations with students enrolled in a maternity nursing course. Therefore, a simulation was created that introduces junior-level maternity nursing students to the complexities of multiple patient assignments including prioritization of care, task delegation, and patient safety. This paper will discuss the planning and implementation of an unfolding multiple patient simulation that focuses on pre-eclampsia, second stage of labor, and postpartum hemorrhage. This educational innovation project can be used in other maternity clinical courses to allow nursing students to prioritize care for high-acuity maternity patients. Future research is needed to determine the impact of maternity focused multiple patient simulations.
Authors
- Courtney DiFlauro
- Taylor Edwards
Institutions
- Indiana University of Pennsylvania (US)
Publication Details
- Journal
- Teaching and learning in nursing
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1016/j.teln.2024.08.022
- Citations
- 2
- Primary Topic
- Simulation-Based Education in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.65