神经语言编程对剖腹产后舒适度的影响:随机对照试验 神经语言编程舒适度剖腹产
Aysel Doğan1,2, Nursel Alp Dal3, Kerime Derya Beydag4
1Faculty of Health Sciences Department of Surgical Diseases Nursing, RN, PhD Toros University, Mersin, Turkey. aysel.dogan@toros.edu.tr.
BMC pregnancy and childbirth
|August 30, 2025
概括
神经语言编程 (NLP) 显著改善了剖腹产后母亲的舒适度. 建议护士和助产士使用NLP技术来改善母亲的健康.
科学领域:
- 护理工作
- 心理学
- 女性健康
背景情况:
- 剖腹产通常会降低母亲的舒适度,影响自我照顾和婴儿照顾.
- 产后的不适会阻碍母乳养和整体的母婴关系.
研究的目的:
- 评估神经语言编程 (NLP) 对产后母亲舒适度的影响.
- 提供关于将NLP纳入标准产后护理的证据.
主要方法:
- 100名参与者 (50名实验者,50名对照者) 的前性随机对照试验.
- 通过个人信息表和产后舒适度表收集的数据.
- 分析包括t测试和ANCOVA以控制测试前的分数.
主要成果:
- 在NLP干预组中观察到整体产后舒适度的显著改善.
- 接受NLP治疗的母亲在干预后的身体,精神和社会文化舒适度显著增加.
- 与预测相比,干预组在后测试中表现出更高的平均舒适度.
结论:
- 神经语言编程可以有效地提高产后舒适度.
- 对于医疗保健提供者来说, NLP 技术是改善孕产妇体验的重要工具.
- 建议将NLP整合到护理和助产护理中,以加强产后支持.
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