预产评估算法是否能提高预产相关知识,临床实践信心和教育满意度? : 这是一项准实验性的研究
Hee-Young Choi1, Jeung-Im Kim2
1School of Nursing, Graduate School of Soonchunhyang University, Cheonan, Korea.
Korean journal of women health nursing
|October 9, 2023
概括
使用早产期劳动评估算法的实践教育提高了护理学生的知识和信心. 然而,这些收益随着时间的推移而减少,这表明需要及时的后续培训,以维持在早产护理方面的能力.
科学领域:
- 产科和妇科 产科和妇科
- 护理教育 护理教育
- 孕产妇健康 孕产妇健康
背景情况:
- 全球过早出生率正在上升.
- 产科护士需要专门的技能来及时干预.
- 目前的护理实习培训可能需要加强早产管理.
研究的目的:
- 评估早期劳动评估基于算法的教育对护理学生的影响.
- 评估早产知识和临床实践信心的变化.
- 在母乳护理实践中确定修改算法的有效性.
主要方法:
- 一个准实验性的前后研究设计,有三个组.
- 61名高级护理学生参与了这次干预.
- 数据使用配对t测试和重复测量ANOVA进行分析.
主要成果:
- 干预后观察到早产知识和临床信心的显著改善.
- 知识保留持续了长达8周,在11-13周出现下降.
- 临床实践的信心下降了干预后8周.
结论:
- 使用早产期劳动评估算法的实践教育有效地提高了护理学生的知识和信心.
- 建议在干预后8周左右进行后续教育,以保持收益.
- 定期评估教育效应对于持续能力至关重要.
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