与孕妇准备分娩相关的因素:贝叶斯网络分析
Ningying Zhou1, Feng Zhang2, Min Liu1
1Department of Nursing, Wuxi Maternal and Child Health Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi, Jiangsu, China.
概括
改善孕妇的分娩准备对于孕妇来说至关重要. 高的自我效能,对分娩的低恐惧,强大的电子健康素养和多重性显著增加了完全准备分娩的可能性.
科学领域:
- 孕产妇健康 孕产妇健康
- 怀孕中的心理社会因素
- 医疗信息学 医疗信息学
背景情况:
- 不充分的分娩准备对分娩经验和未来的生育决策产生负面影响.
- 了解分娩准备的决定因素和相互联系对于有针对性的干预措施至关重要.
研究的目的:
- 探索孕妇准备分娩的决定因素.
- 用贝叶斯模型分析影响分娩准备的因素之间的网络关系.
主要方法:
- 对350名孕妇进行横截面研究.
- 隐形形象分析 (LPA) 用于识别准备状态子组.
- 单变量分析,多项逻辑回归和贝叶斯网络建模来识别和结构影响因素.
主要成果:
- 准备分娩的情况分为不良 (26%),良好的 (30.9%) 和完整的 (43.1%).
- 确定了关键预测因素:平等性,自我有效性和电子健康素养.
- 贝叶斯模型强调了自我效能,对分娩的恐惧,电子健康素养,以及与准备能力直接相关的平等.
结论:
- 贝叶斯网络模型有效地说明了影响分娩准备的因素之间的复杂相互联系.
- 具有高自我效能,不害怕分娩,高电子健康素养和多重性女性的女性表现出完全准备分娩的最高概率 (83.3%).
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