This study investigated preferences for and factors influencing the intention to use an app for premenstrual mental health symptoms. An online survey of 530 UK participants (mean age 35.85) whose mental health was affected by their menstrual cycle was conducted. Symptom monitoring and psychoeducation were the most desired app features. Structural equation modeling (SEM) using the Health Belief Model (HBM) showed that cues to action, perceived barriers, perceived severity, and perceived benefits significantly predicted intention to use. The findings highlight the importance of app co-design, healthcare professional endorsement, clear communication of therapeutic benefits, and addressing user concerns regarding digital comfort, privacy, and app quality.

Erin L. Funnell, Nayra A. Martin-Key, Jiri Benacek, Benedetta Spadaro, Sabine Bahn