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

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.

Keywords: Artificial intelligence; ChatGPT; Menopause; Patient education; Thematic analysis; Women’s health nursing