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RECRUITING
NCT07248046

Smartphone vs Manual Interpretation of Biomarkers for Ovulation and Luteal Phase Detection (SMOM Study)

Sponsor: Bruyère Health Research Institute.

View on ClinicalTrials.gov

Summary

This study will compare different combinations of fertility signs (cervical mucus (CM), luteinizing hormone \[LH\], pregnanediol glucuronide \[PDG\], and basal body temperature \[BBT\]) to determine which are most reliable for identifying ovulation and luteal phase length. Thirty existing Premom App users will track daily observations for three menstrual cycles. Participants will record mucus, perform urine tests, upload test strip photos to the Premom App, and measure BBT. Both participant readings and AI-assisted app readings will be analyzed. The main goal is to find which marker pairings give the most accurate picture of ovulation timing and luteal phase length. Secondary goals include understanding ease of use, the number of tests required, and whether the app improves accuracy.

Official title: Comparing Cervical Mucus, PDG, LH, and Basal Body Temperature Combinations for Ovulation and Luteal Phase Identification Using the Premom Smartphone App Versus User-Read Test Results: A Prospective Observational Study

Key Details

Gender

FEMALE

Age Range

16 Years - 45 Years

Study Type

OBSERVATIONAL

Enrollment

30

Start Date

2026-01-15

Completion Date

2026-11-15

Last Updated

2026-01-13

Healthy Volunteers

Yes

Interventions

OTHER

Premom App-Assisted Fertility Tracking

Participants use the Premom smartphone application (Easy Healthcare Corporation) to log daily fertility indicators - cervical mucus (CM), urinary luteinizing hormone (LH) strips, urinary pregnanediol glucuronide (PDG) strips, and basal body temperature (BBT) - over three menstrual cycles. Both participant-read and AI-interpreted app readings are compared to identify ovulation and luteal phase length. \*\*This is an observational study. Participants are not assigned to any intervention; all fertility signs collected are part of their existing self-tracking using the Premom App. The study analyzes these naturally occurring data to compare marker pairings for identifying ovulation and luteal phase length.\*\*

Locations (1)

St. Laurent Ideal Clinic

Ottawa, Ontario, Canada