Journal article
Wearable Simulated Maternity Model: Making Simulation Encounters Real in Midwifery
Clinical Simulation in Nursing, Vol.33(C), pp.1-6
2019
Abstract
Background: Vulnerable groups, such as pregnant women, are not used in immersive simulation. This can limit opportunities for students to practice real-life clinical examinations. Nonpregnant simulated patient involvement is of limited value if realistic physiological presentations that reflect body changes in pregnancy are unavailable to perform examinations. Methods: The authors present an innovative and cost-effective high-fidelity method to create a wearable simulated maternity model that can be worn by nonpregnant actors to simulate pregnancy in immersive simulations in midwifery. Results: In this article, we provide step-by-step instructions for constructing a wearable model simulating pregnancy. This enables students to palpate fetal position, listen to the fetal heart, and assess cervical dilation. Conclusion: This simulation resource is cost-effective, is simple to implement, and is a highly effective means for simulating pregnancy and teaching skills and critical thinking in higher fidelity complex immersive scenarios.
Details
- Title
- Wearable Simulated Maternity Model: Making Simulation Encounters Real in Midwifery
- Authors
- Patrea R Andersen (Author) - University of the Sunshine Coast - School of Nursing, Midwifery & ParamedicineTerri Downer (Author) - University of the Sunshine Coast - School of Nursing, Midwifery & ParamedicineSuzanne O'Brien (Author) - University of the Sunshine Coast - School of Nursing, Midwifery & ParamedicineKristine Cox (Author) - University of the Sunshine Coast - School of Nursing, Midwifery & Paramedicine
- Publication details
- Clinical Simulation in Nursing, Vol.33(C), pp.1-6
- Publisher
- Elsevier Inc.
- Date published
- 2019
- DOI
- 10.1016/j.ecns.2019.04.007
- ISSN
- 1876-1399
- Organisation Unit
- Academic Support Unit; School of Nursing, Midwifery and Paramedicine - Legacy; University of the Sunshine Coast, Queensland; School of Health - Midwifery; Engage Research Lab
- Language
- English
- Record Identifier
- 99450765302621
- Output Type
- Journal article
Metrics
154 Record Views
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- Nursing
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