E-ISSN: 2791-7835
Thematic Analysis of ChatGPT's Menopause-Related Patient Education Responses from a Women's Health Nursing Perspective
1Department of Nursing, Division of Obstetrics and Gynecologic Nursing, Suleyman Demirel University Faculty of Health Sciences, Isparta, Türkiye
2Department of Maternal and Child Health Nursing, College of Nursing, Shaqra University, Al Dawadmi, Saudi Arabia
Lokman Hekim Health Sciences - DOI: 10.14744/lhhs.2026.51483
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Abstract

Introduction: This study aimed to evaluate ChatGPT’s patient education content on menopause from the perspective of women’s health nursing and to identify emerging themes in its responses.
Materials and Methods: A qualitative design was employed. Fifteen scenarios covering common nursing counselling topics in menopause were developed and presented to ChatGPT with instructions to use “patient-friendly language.” The responses were analysed using Braun and Clarke’s six-phase thematic analysis method.
Results: Four main themes emerged: (1) Symptom-focused practical suggestions, (2) lifestyle modification and preventive health, (3) psychosocial support and relationships, and (4) safety and compliance. Most responses demonstrated empathy but lacked sufficient scientific references and evidence-based support.
Discussion and Conclusion: ChatGPT can provide useful and understandable suggestions for patient education in menopause from a nursing perspective. However, improvements are needed in providing evidence-based references and addressing certain topics (e.g., sexual health) more comprehensively. Women’s health nurses should verify the accuracy of AI-generated content before using it in patient education. These findings highlight the importance of developing nurses’ skills in critically appraising, validating, and appropriately integrating AI-generated educational content into women’s health counselling and patient education.