Evaluation of discharge training given by nurses to postpartum mothers to artificial intelligence: an alternative approach to health care.

IF 3.9 2区 医学 Q1 NURSING BMC Nursing Pub Date : 2025-03-21 DOI:10.1186/s12912-025-02966-5
Müjde Kerkez, Mehmet Kaplan
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Abstract

Objective: The present study aims to evaluate the discharge training given by nurses to postpartum mothers using artificial intelligence.

Method: The study used a qualitative research design with a descriptive thematic approach and was conducted in a state hospital's maternity ward between April and May 2024. Sixteen nurses with varying experience levels were selected through maximum variation sampling. Data were analyzed using coding and thematic analysis to understand participants' experiences.

Results: Among the nurses, 81.25% held a bachelor's degree, 43.75% had 6-10 years of experience. Postpartum discharge training emphasized baby cues, sleep management, hygiene, and routine health checks. For maternal care, focus was on rest, vaccinations, avoiding heavy activity, psychological support, exercise, and nutrition. AI provided more comprehensive guidance in both maternal and infant care.

Conclusion: This study highlights that AI-assisted guidance is a valuable tool in postpartum discharge training, offering effective general advice. However, human input remains essential for specific and practical recommendations.

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护士对产后母亲进行的出院培训对人工智能的评价:医疗保健的一种替代方法。
目的:评价护士对产后母亲进行人工智能出院培训的效果。方法:采用定性研究设计和描述性专题研究方法,于2024年4 - 5月在某公立医院产科病房进行。采用最大变异抽样法选取16名经验水平不同的护士。使用编码和主题分析来分析数据,以了解参与者的体验。结果:本科学历占81.25%,6-10年工作经验占43.75%。产后出院培训强调婴儿提示、睡眠管理、卫生和常规健康检查。产妇护理的重点是休息、接种疫苗、避免剧烈活动、心理支持、锻炼和营养。人工智能在母婴护理方面提供了更全面的指导。结论:本研究强调人工智能辅助指导在产后出院培训中是一种有价值的工具,可以提供有效的一般性建议。然而,对于具体和实际的建议,人力投入仍然是必不可少的。
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来源期刊
BMC Nursing
BMC Nursing Nursing-General Nursing
CiteScore
3.90
自引率
6.20%
发文量
317
审稿时长
30 weeks
期刊介绍: BMC Nursing is an open access, peer-reviewed journal that considers articles on all aspects of nursing research, training, education and practice.
期刊最新文献
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