Cycle Tracking Clinical Trial
— TRACYOfficial title:
TRACY - Track My Cycle
NCT number | NCT04065464 |
Other study ID # | ZEG2019_01 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | July 3, 2019 |
Est. completion date | January 10, 2020 |
Verified date | September 2020 |
Source | Center for Epidemiology and Health Research, Germany |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The primary aim of the pilot study is to collect data for the fine-tuning and evaluation of the Ava algorithm. Secondary outcomes are the estimation of the accuracy in detecting the fertility status of each cycle day.
Status | Completed |
Enrollment | 303 |
Est. completion date | January 10, 2020 |
Est. primary completion date | December 20, 2019 |
Accepts healthy volunteers | |
Gender | Female |
Age group | 18 Years to 40 Years |
Eligibility |
Inclusion Criteria: - Aged between 18 and 40 at the time of admission - Not pregnant and no pregnancy wish during the pilot study period - Have a regular sleep pattern (sleep at least four hours per night and not working nightshift) - Have regular menstrual cycles Exclusion Criteria: - Pregnant at study admission - Currently breastfeeding or have breastfed in the past 6 months before study admission - Currently using hormonal contraception or hormonal medication - Health-related conditions that may affect menstrual cycle length and variability (e.g. PCOS, menopause, thyroid dysfunction) - Unable to understand study instructions and/or not able to understand English or German - More than one international overseas travel per month - Unwilling to sign the ICF. |
Country | Name | City | State |
---|---|---|---|
Germany | ZEG Berlin | Berlin-Mitte | Berlin |
Lead Sponsor | Collaborator |
---|---|
Center for Epidemiology and Health Research, Germany | Ava AG |
Germany,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Fine-tuning Ava algorithm | Number of days within a menstrual cycle that are correctly predicted as 'fertile' by the Ava algorithm. Number of study participants who have their 'fertile window' accurately predicted by the Ava AG app. |
5 months |