Authors' Affiliations: 1Slone Epidemiology Center at Boston University, Boston, Massachusetts and 2Lombardi Comprehensive Cancer Center at Georgetown University Medical Center, Washington, District...ROR
To assess the effect of randomization to FertilityFriend.com, a mobile computing fertility-tracking app, on fecundability.
Design
Parallel non-blinded randomized controlled trial nested within the Pregnancy Study Online (PRESTO), a North American preconception cohort. PATIENT(S): Female participants aged 21 to 45 years attempting conception for ≤6 menstrual cycles at enrolment (2013-2019).
Intervention
Randomization (1:1) of 5532 participants to receive a premium Fertility Friend (FF) subscription. MAIN OUTCOME MEASURE(S): Fecundability (per-cycle probability of conception). Participants completed bimonthly follow-up questionnaires until pregnancy or a censoring event, whichever came first. We first performed an intent-to-treat analysis of the effect of FF randomization on fecundability. In secondary analyses, we used a per-protocol approach that accounted for adherence in each trial arm. In both analyses, we used proportional probabilities regression models to estimate fecundability ratios (FR) and 95% confidence intervals (CI) comparing those randomized vs. not randomized and applied inverse probability weights to account for loss-to-follow-up (intent-to-treat and per-protocol analyses) and adherence (per-protocol analyses only).
Results
Using life-table methods, 64% of the 2775 participants randomized to FF and 63% of the 2767 participants not randomized to FF conceived during 12 cycles; these respective percentages were each 70% among those with 0-1 cycles of attempt time at enrolment. Of those randomized to FF, 72% were defined as adherent (68% of observed menstrual cycles). In intent-to-treat analyses, there was no appreciable association overall (FR = 0.97; 95% CI, 0.90-1.04) or within strata of pregnancy attempt time at enrolment, age, education, or other characteristics. In per-protocol analyses, we observed little association overall (FR = 1.06; 95% CI, 0.99-1.14), but weak-to-moderate positive associations among participants who had longer attempt times at enrolment (FR = 1.15; 95% CI, 0.98-1.35 for 3-4 cycles; FR = 1.14; 95% CI, 0.87-1.48 for 5-6 cycles), were aged <25 years (FR = 1.29; 95% CI, 1.01-1.66), had ≤12 years of education (FR = 1.32; 95% CI, 0.92-1.89), or were non-users of hormonal contraception within 3 months before enrolment (FR = 1.10; 95% CI, 1.02-1.19).
Conclusion
No appreciable associations were observed in intent-to-treat analyses. In secondary per-protocol analyses that accounted for adherence, randomization to FF was associated with slightly greater fecundability among selected subgroups of participants; however, these results are susceptible to unmeasured confounding.
fertility tracking app, FertilityFriend software, fecundability fertility app, web-based fertility tracking, mobile computing ovulation detection, randomized trial fertility app, time to pregnancy fertility software, ovulation prediction app, fertility awareness technology, digital fertility tracking
PMID 36774978 36774978 DOI 10.1016/j.fertnstert.2023.02.005 10.1016/j.fertnstert.2023.02.005
Cite this article
Wise, L. A., Wang, T. R., Stanford, J. B., Wesselink, A. K., Ncube, C. N., Rothman, K. J., & Murray, E. J. (2023). A randomized trial of web-based fertility-tracking software and fecundability. *Fertility and sterility*, *119*(6), 1045-1056. https://doi.org/10.1016/j.fertnstert.2023.02.005
Wise LA, Wang TR, Stanford JB, Wesselink AK, Ncube CN, Rothman KJ, et al. A randomized trial of web-based fertility-tracking software and fecundability. Fertil Steril. 2023;119(6):1045-1056. doi:10.1016/j.fertnstert.2023.02.005
Wise, L. A., et al. "A randomized trial of web-based fertility-tracking software and fecundability." *Fertility and sterility*, vol. 119, no. 6, 2023, pp. 1045-1056.
OBJECTIVE: To quantify the frequency of use of selected fertility awareness indicators and to assess their influence on fecundability.
DESIGN: Web-based prospective cohort study.
SETTING: Not applic...
Evans-Hoeker E et al., 2013Fertility and Sterility
OBJECTIVE: To assess the use of cervical mucus monitoring (CMM) in women trying to conceive and determine whether monitoring is associated with increased cycle-specific probability of conception (fecu...
Purdue-Smithe AC et al., 2022The American journal of clinical nutrition
Background: Caffeine is the most frequently used psychoactive substance in the United States and >90% of reproductive-age women report some amount of intake daily. Despite biological plausibility, pre...
Favaro C et al., 2021
Open Access
Journal of Women's Health (2002)
Background: Time to pregnancy (TTP) is a biomarker of fecundability and has been associated with behavioral and environmental characteristics; however, these associations have not been examined in a l...