Article ; Online: A High-Fidelity Human Patient Simulation Initiative to Enhance Communication and Teamwork Among a Maternity Care Team.
2018 Volume 22, Issue 6, Page(s) 454–462
Abstract: Objective: To use high-fidelity human patient simulation to enhance teamwork and communication during maternity care emergencies.: Design: Quality improvement initiative.: Setting/local problem: The labor and delivery team at a large suburban ... ...
| Abstract | Objective: To use high-fidelity human patient simulation to enhance teamwork and communication during maternity care emergencies. Design: Quality improvement initiative. Setting/local problem: The labor and delivery team at a large suburban Level 2 facility in the Midwestern United States sought to apply evidence and use simulation to improve communication and teamwork. Participants: Approximately 170 maternity care staff members, including nurses, anesthesia providers, and pediatric and obstetric physicians. Intervention/measurements: During each simulation, there were two scenarios with a debriefing session at the end of each. Teamwork and communication were evaluated using participant surveys. Results: Participants reported improved communication (p = .031) and teamwork (p = .041) after simulation. Additionally, 81% of respondents believed that their ability to perform clinical skills improved. Conclusion: Use of high-fidelity human patient simulation was associated with improved teamwork and communication for a maternity care team. Simulation has been incorporated into standard education. We hope to sustain successful outcomes by providing ongoing simulation experiences for labor and delivery staff annually. |
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| MeSH term(s) | Delivery, Obstetric ; Emergencies ; Female ; Humans ; Interdisciplinary Communication ; Interprofessional Relations ; Patient Care Team/organization & administration ; Patient Simulation ; Pregnancy ; Program Evaluation ; Quality Improvement | |||||
| Language | English | |||||
| Publishing date | 2018-10-30 | |||||
| Publishing country | United States | |||||
| Document type | Journal Article | |||||
| ZDB-ID | 2275619-X | |||||
| ISSN | 1751-486X ; 1751-4851 | |||||
| ISSN (online) | 1751-486X | |||||
| ISSN | 1751-4851 | |||||
| DOI | 10.1016/j.nwh.2018.10.003 | |||||
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| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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