Effect of a high-fidelity simulation-based teaching-learning experience (SBTLE) on maternal health nursing students' knowledge of postpartum hemorrhage, confidence, and satisfaction

Arwa Alsaraireh*, Girija Madhavanprabhakaran, Divya Raghavan, Judie Arulappan, Atika Khalaf

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

ملخص

Background: Postpartum hemorrhage is the leading cause of maternal mortality worldwide. Preparing nurses to manage postpartum hemorrhage through simulation training has emerged as a successful educational strategy to overcome the challenges related to medical management failures. Simulation holds promising potential to improve patient care, especially for high-risk scenarios, where immediate and rapid interventions are required. Objective: The study assessed the knowledge, confidence, and satisfaction of nursing students before and after participating in a high-fidelity simulation of a patient with postpartum hemorrhage. Method: A pretest–post-test design was used to assess students’ knowledge and a cross-sectional survey was used to assess students’ level of confidence and satisfaction. Data were collected from 88 undergraduate nursing students enrolled in maternity nursing clinical courses in a major public university in Oman during the Spring and Fall semesters, of 2022. Result: The study findings showed that the simulation significantly increased the students’ knowledge (p value 0.038) and produced respectable levels of satisfaction and confidence 4.05 ± 0.65 among the students. Conclusion: Our study findings showed that simulation could be a successful teaching approach to improve student knowledge, satisfaction, and confidence. The results call for educators to integrate the simulation into the nursing curriculum and continue developing scenarios for advanced use in future cohorts.

اللغة الأصليةEnglish
الصفحات (من إلى)e176-e181
دوريةTeaching and Learning in Nursing
مستوى الصوت19
رقم الإصدار1
المعرِّفات الرقمية للأشياء
حالة النشرPublished - نوفمبر 1 2023

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