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Fertile-window misclassification in period-tracking applications and associated pregnancy risk: a large observational
Erica Brondolin1, Bruno Hadengue1, Danielle Perro1
1NaturalCycles Nordic AB, Stockholm, Sweden.
Purpose:
Given the widespread contraceptive use of period-tracking applications, we aimed to quantify misclassification of biologically fertile days and associated pregnancy risk by calendar-based and BBT-supported period-tracking applications and compare it with an FDA-cleared and CE-marked digital contraceptive.
Materials And Methods:
We conducted an observational analysis of 543,167 cycles from users of a fertility application. Biologically fertile days were identified using urinary luteinizing hormone tests. Outcomes included day-specific frequency of fertile days misclassified as safe, cycle-level misclassification, and mean predicted pregnancy risk per cycle for each method. Analyses were repeated in a subgroup of irregular cycles.
Results:
Calendar-based tracking frequently misclassified fertile days as safe, with 67% of cycles containing ≥1 at-risk day and a predicted pregnancy risk of 22% (65% for irregular cycles). BBT-supported tracking reduced misclassification but remained associated with substantial risk (41% of cycles with ≥1 at-risk day; risk 9%). The digital contraceptive showed consistently low misclassification (3% of cycles with any at-risk day) and a predicted pregnancy risk of 0.5%.
Conclusions:
Both calendar-based and BBT-supported period-tracking applications often misclassify fertile days and should not be considered reliable tools for pregnancy prevention. Regulated digital contraceptives demonstrate substantially lower pregnancy risk than period-tracking apps.
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