Study Analyzes Accuracy of Fertility Awareness Method Apps
Overview of the Research
A recent study conducted by a Stanford research team evaluates the effectiveness of fertility awareness method apps in helping women track their menstrual cycles. The research focuses on the accuracy of these applications in assessing menstrual health and fertility across diverse populations.
Study Participants and Methodology
The study involved 200,000 women who utilized one of two fertility awareness method apps, Sympto and Kindara. Both applications employ the “Sympto-Thermal Method” to differentiate between fertile and infertile periods during a menstrual cycle. This method involves recording various indicators, including cervical fluid, basal body temperature, and other biological signs to assess fertility.
Researchers monitored app usage over a span of 30 million days, encompassing 2.7 million menstrual cycles, to understand user tracking behavior. They also assessed the accuracy of the recorded data in predicting menstrual cycles.
User Demographics and Tracking Behavior
The findings indicated that the majority of users were around 30 years of age, predominantly residing in Europe or North America, and maintained a healthy weight. Users displayed a tendency to log their observations more consistently when they also recorded instances of sexual intercourse. Notably, approximately 24% of menstrual cycles were noted to occur between days 14 and 15, with the timing of the later cycle phases aligning with existing research. Women attempting to conceive documented daily measurements for about 40% of their cycles, with a particular emphasis on the initial phase.
Implications for Fertility Awareness Method Apps
The study’s results provide healthcare professionals with insights into the tracking capabilities of these apps and the accuracy of the interactions between menstrual cycles and other bodily systems within a large user base. This information may prompt healthcare providers to integrate findings from fertility awareness method apps into patient consultations.
Additionally, encouraging women to utilize these technologies for self-tracking can enhance their understanding of personal health. The data collected can contribute to research on hormonal fluctuations and menstrual cycle timing, an area that has historically lacked comprehensive studies.
Future Research Directions
The clinical insights gained from fertility awareness method apps may assist users in assessing their fertility status while offering healthcare providers a better means of evaluating their patients. Given the absence of large-scale studies on the accuracy of these applications, this research serves as a foundational step toward further exploration of fertility tracking in real-time using fertility awareness method apps.
Author and Reference
Written by Tatsiana Verstak, M.S., B.S.
Reference: Laura Symul, Katarzyna Wac, Paula Hillard & Marcel Salathé. Assessment of menstrual health status and evolution through mobile apps for fertility awareness. npj Digital Medicine. Volume 2, Article number: 64. Published: 16 July 2019.
Image by Steve Buissinne from Pixabay.