Findings from a mobile application-based cohort are consistent with established knowledge of the menstrual cycle, fertile window, and conception.

Objective: To investigate the validity of self-reported fertility data generated by a mobile application-based cohort in comparison with data collected by traditional clinical methodologies.

Design: Data were collected from July 2013 to July 2018 through a mobile application designed to track fertility. Bayesian hierarchical models were used to assess day-specific pregnancy probabilities.

Time to conception and the menstrual cycle: an observational study of fertility app users who conceived.

The objective of this research was to evaluate the association between menstrual cycle characteristics (cycle length, cycle-length variability, and their interaction) and the amount of time it takes women to conceive using a robust multiple linear regression. Participants downloaded Ovia Fertility in 2015 indicated that they had just started trying to conceive, and reported conception within 12 months ( = 45,360, adjusted model  = 8835). The average time to conception among women in the adjusted model was 3.

Using mobile health applications for the rapid recruitment of perinatal women.

This article describes how two research teams recruited participants using a mobile application for pregnant women. In both studies, a study description appeared on the home screen of a pregnancy application. Interested women were directed to a secure research website to enroll.