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Systematic review, 2026

Can digital tools help diagnose PMDD?

Digital tools show promise for diagnosing PMDD by helping you track symptoms, but most need more testing and better integration with healthcare systems before they're widely used.

Strong study design 19 studies examining various digital technologies for PMDD diagnosis (not a single cohort).

What they did

Systematic review of 19 studies published between 2015 and 2025 that tested digital tools (apps, artificial intelligence models, wearables) for detecting or diagnosing PMDD.

What they found

Digital tools helped with symptom tracking and patient engagement. One validated tool called C-PASS achieved high agreement with clinician diagnosis. However, most tools lacked external validation and clinical integration. Usability and adoption improved when people found the tools useful and trusted them.

What it means for you

Digital tools could eventually make PMDD diagnosis easier and faster, especially by enabling continuous symptom tracking from home. The main limits are that most tools haven't been properly tested outside research settings, privacy protections are unclear, and they aren't yet connected to healthcare systems.

3-8%

Percentage of menstruating individuals with PMDD

19

Studies reviewed

1

Tool (C-PASS) with high diagnostic accuracy

About the study

Original title
From Symptom Diaries to Smart Diagnostics: A Systematic Review of Digital Technologies for the Early Detection of Premenstrual Dysphoric Disorder (PMDD)
Authors
Osasogie Idemudia
Journal
Current Research in Medical Sciences
Year
2026
Study design
Systematic review
What was tested
Digital tools including mobile health apps, artificial intelligence models, telehealth platforms, and wearable-enabled systems.
Open access
Yes

Topics