Thematic Analysis of ChatGPT's Menopause-Related Patient Education Responses from a Women's Health Nursing Perspective

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bulut h., Alotaibi S.

Lokman Hekim health sciences (Online), cilt.6, sa.2, ss.179-187, 2026 (TRDizin)

Özet

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. 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.