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

IF 3.1 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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引用次数: 0

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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来源期刊

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.