High Fidelity Simulation-based Learning Approach in Maternal and Infant Care

Exploring Nursing Students' Experience and Attitudes Towards High Fidelity Simulation-based Learning Approach in Maternal and Infant Care: A Mixed Method Study

Study type: clinical trial - randomized control trial Primary purpose: to explore the effectiveness of high-fidelity simulation (HFS) interventions, specifically scenario-based training with pre-briefing and de-briefing on (1) knowledge and self-efficacy (2) problem solving abilities, (3) the learning experience among nursing students in baby care and breastfeeding, as compared to traditional training.

Primary outcome: breastfeeding self-efficacy scores and knowledge in the intervention compared to the control group Secondary outcome: Simulation Design Scale and Education Practices Questionnaire

Background and Rationale of Study:

Nursing students commonly reported feeling unprepared in maternity and infant care clinical setting or lack competencies. Additionally, nurses are concerned about the clinical reasoning skills of new graduates, which may lead to poor quality of infants or maternal outcomes. Despite this importance, it is difficult to provide more clinical opportunities especially during COVID pandemics. High-fidelity simulation-based learning (HFS) can help to bridge the gap between theory and practice, with manikin citing the similarities to practice in a 'real' situation. By incorporating different scenarios, prebriefing and debriefing into the HFS, students can enhance their learning experience. However, there is a lack of studies specifically examining the use of HFS in baby care and breastfeeding among nursing students. The impact of HFS on learning outcomes, including knowledge and skills, problem solving abilities, and learning experience are unclear.

Inclusion Criteria:

• undergraduate nursing students
• newly enrolled obstetric course
• can provide consent for simulation confidentiality
• do not have previous clinical experience or training in obstetrical units

Exclusion Criteria:

• Nil