[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100612012":3},{"organization":4,"armGroups":7,"interventions":14,"overallOfficials":10,"centralContacts":19,"locations":26,"responsibleParty":44,"collaborators":10,"id":48,"slug":49,"hasResults":50,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":56,"sex":57,"minAge":58,"maxAge":59,"enrollmentInfo":60,"targetDuration":10,"studyType":63,"phases":10,"briefSummary":64,"conditions":65,"keywords":75,"overallStatus":29,"whyStopped":10,"lastUpdateSubmitDate":90,"lastUpdatePostDateStruct":91,"startDateStruct":94,"completionDateStruct":96,"leadSponsor":98,"locationsCount":99},{"fullName":5,"class":6},"Bruyère Health Research Institute.","OTHER",[8],{"label":9,"type":10,"description":11,"interventionNames":12},"Premom App Users",null,"Women aged 16 to 45 already using the Premom App, who will track daily fertility signs over 3 menstrual cycles.",[13],"Other: Premom App-Assisted Fertility Tracking",[15],{"type":6,"name":16,"description":17,"armGroupLabels":18,"otherNames":10},"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.\\*\\*",[9],[20],{"name":21,"role":22,"phone":23,"phoneExt":24,"email":25},"Rene A Leiva, MD","CONTACT","6135626262","1398","rleiva@bruyere.org",[27],{"facility":28,"status":29,"city":30,"state":31,"zip":32,"country":33,"countryCode":34,"cosmosGeoPoint":35,"geoPoint":40,"contacts":41},"St. Laurent Ideal Clinic","RECRUITING","Ottawa","Ontario","K1G 3V4","Canada","CA",{"type":36,"coordinates":37},"Point",[38,39],-75.69812,45.41117,{"lat":39,"lon":38},[42],{"name":43,"role":22,"phone":23,"phoneExt":24,"email":25},"Rene Leiva, MD",{"type":45,"investigatorFullName":46,"investigatorTitle":47,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Rene Leiva","Principal Investigator","100612012","smartphone-vs-manual-interpretation-of-biomarkers-for-ovulation-and-luteal-phase-detection-smom-study-100612012",false,"NCT07248046","Smartphone vs Manual Interpretation of Biomarkers for Ovulation and Luteal Phase Detection (SMOM Study)","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","SMOM","Inclusion Criteria:\n\n* Female, aged 16 to 45\n* Natural menstrual cycles equal or less than 35 days\n* Off hormonal contraception for more than 3 months\n* Current user of the Premom App\n* Willing to track cervical mucus, LH, PDG, and BBT for 3 full cycles\n* Lives within 50 km of study site in the Ottawa region\n* Able to provide informed consent\n\nExclusion Criteria:\n\n* Pregnant or breastfeeding\n* Current hormonal therapy or contraception\n* Known anovulatory disorders, e.g., Polycystic Ovary Syndrome, hypothalamic amenorrhea.\n* Very irregular or absent cycles\n* Not using the Premom App\n* Unable or unwilling to complete tracking or provide consent",true,"FEMALE","16 Years","45 Years",{"count":61,"type":62},30,"ESTIMATED","OBSERVATIONAL","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.",[66,67,68,69,70,71,72,73,74],"Fertility","Mobile Applications","Artifical Intelligence","Cervical Mucus","Body Temperature","Luteinizing Hormone (LH)","Ovulation","Menstrual Cycle","Progesterone",[72,76,73,66,69,77,78,74,79,80,81,67,82,83,84,85,86,87,88,89],"Luteal Phase","Luteinizing Hormone","Pregnanediol Glucuronide","Basal Body Temperature","Female Reproductive Physiology","Fertility Awareness-Based Methods","Smartphone App","Artificial Intelligence","Self-Testing","Home Diagnostic Tests","Observational Study","Prospective Studies","Digital Health","Women's Health","2026-01-10",{"date":92,"type":93},"2026-01-13","ACTUAL",{"date":95,"type":62},"2026-01-15",{"date":97,"type":62},"2026-11-15",{"name":5,"class":6},1]