Developing a Mood and Menstrual Tracking App for PMDD
Author Information
Author(s): Chloe Apsey, Arianna Di Florio, Katarzyna Stawarz
Primary Institution: Cardiff University
Hypothesis
This study aimed to collect feedback and insights from potential users to inform the development of a prototype app for PMDD symptom monitoring.
Conclusion
The app needs to be simple yet engaging to encourage daily interaction, especially during non-symptomatic days.
Supporting Evidence
- Participants emphasized the importance of ease of use for prolonged engagement with the app.
- Users expressed the need for flexibility in tracking symptoms due to variability in PMDD experiences.
- Correct language and terminology were highlighted as crucial for user comfort and understanding.
- Participants requested features that provide insights and benefits to their mental well-being.
Takeaway
The study is about creating an app to help people with PMDD track their moods and symptoms, making it easier for them to manage their condition.
Methodology
Two user-centered design studies were conducted, including interviews and workshops with participants who have PMDD or severe PMS.
Potential Biases
The sample was predominantly White-British, limiting diversity in perspectives.
Limitations
The study had a small sample size and did not consider educational or socioeconomic backgrounds, which may introduce bias.
Participant Demographics
Participants included 12 diagnosed with PMDD and 6 self-reported severe PMS, with ages ranging from 18 to over 50.
Digital Object Identifier (DOI)
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