Bayesian selection of optimal rules for timing intercourse to conceive by using calendar and mucus

Area of Science:

• Reproductive Medicine
• Gynecology
• Biostatistics

Background:

• Optimizing conception timing is crucial for fertility management.
• Understanding the menstrual cycle, particularly cervical mucus changes, aids in identifying fertile windows.

Purpose of the Study:

• To identify clinical rules that maximize conception probability.
• To minimize the number of intercourse days required for conception.

Main Methods:

• A multicenter prospective study followed 191 healthy women using the Billings Ovulation Method.
• Daily records of menstrual bleeding, intercourse, and cervical mucus characteristics were collected.
• Statistical models and Bayesian methods were used to analyze conception probabilities based on mucus type and calendar data.

Main Results:

• Simple clinical rules combining calendar data and the presence of fertile-type mucus symptoms were found to be highly effective.
• The study identified specific midcycle calendar intervals with the most fertile-type mucus as having high utility for conception.

Conclusions:

• Timing intercourse to coincide with the presence of the most fertile-type mucus symptom at the vulva can efficiently shorten the time to pregnancy.
• This approach offers a practical strategy for couples seeking to conceive.