Fertility Awareness · Effectiveness

A Comparison of Two Hormonal Fertility Monitoring Systems for Ovulation Detection: A Pilot Study

Mu Q, Fehring RJ

Published February 18, 2023 Medicina (Kaunas, Lithuania), 59(2)
DOI 10.3390/medicina59020400 PMID 36837601 PMC PMC9960263

RRM Academy Synopsis

LH test strip app peak days correlated with Clearblue monitor peaks

In a 30-woman randomized pilot, the peak day from two low-cost LH strip systems correlated with the Clearblue Fertility Monitor's first peak day (r = 0.99). The strips estimated a significantly shorter fertile window. Women who already used the monitor rated it significantly higher.

Key Findings

  • The 30 women contributed 84 menstrual cycles. The LH surge was detected in 94% of cycles by the monitor, 82% by Premom LH strips and 95% by EAH LH strips.
  • The Premom peak day correlated with the monitor's first peak at r = 0.99 (p < 0.0001). The EAH peak correlated with it at r = 0.99 (p < 0.0001).
  • Estimated fertile window in the Premom group: 2.36 days (SD 0.88) by Premom and 8.19 days (SD 3.93) by the monitor.
  • Estimated fertile window in the EAH group: 2.53 days (SD 0.86) by EAH and 7.53 days (SD 3.60) by the monitor.
  • Satisfaction and ease-of-use scores favored the monitor: 51.29 against 43.07 for Premom, and 52.38 against 44.67 for EAH (both p < 0.02).

Interpretation

The study is a small pilot. The monitor was the only comparison, and no ultrasound was used. Recruitment ran through Marquette NFP teachers by a snowball method. All 30 women were Caucasian with some college education and had no known fertility problems. Every woman already used the monitor, and the authors say bias toward it was most likely. The authors say the strip cutoff values need validation in a larger sample. They say women who wish to avoid pregnancy would need to combine the strips with the Marquette Method algorithm.

RRM Context

Restorative reproductive medicine teaches women to chart their cycles and know their own fertile days. A hormone monitor is one tool a chart can use. For avoiding pregnancy, the authors point to a defined algorithm such as the one in the Marquette Method.

Abstract

Background and Objectives

Accuracy in detecting ovulation and estimating the fertile window in the menstrual cycle is essential for women to avoid or achieve pregnancy. There has been a rapid growth in fertility apps and home ovulation testing kits in recent years. Nevertheless, there lacks information on how well these apps perform in helping users understand their fertility in the menstrual cycle. This pilot study aimed to evaluate and compare the beginning, peak, and length of the fertile window as determined by a new luteinizing hormone (LH) fertility tracking app with the Clearblue Fertility Monitor (CBFM).

Materials and Methods

A total of 30 women were randomized into either a quantitative Premom or a qualitative Easy@Home (EAH) LH testing system. The results of the two testing systems were compared with the results from the CBFM over three menstrual cycles of use. Potential LH levels for estimating the beginning of the fertile window were calculated along with user acceptability and satisfaction.

Results

The estimates of peak fertility by the Premom and EAH LH testing were highly correlated with the CBFM peak results (R = 0.99, p < 0.001). The participants had higher satisfaction and ease-of-use ratings with the CBFM compared to the Premom and EAH LH testing systems. LH 95% confidence levels for estimating the beginning of the fertile window were provided for both the Premom and EAH LH testing results.

Conclusions

Our pilot study findings suggest that the Premom and EAH LH fertility testing app can accurately detect impending ovulation for women and are easy to use at home. However, successful utilization of these low-cost LH testing tools and apps for fertility self-monitoring and family planning needs further evaluation with a large and more diverse population.

Topics

By this author

Related research

Fertility Awareness › Effectiveness › Comparative Effectiveness · Menstrual Cycle › Cycle Biomarkers › Hormonal Markers · Research Methods › Measurement and Statistics › Instrument Development and Validation
Qiyan Mu, Richard Jerome Fehring
Q Mu, Rick Fehring, Dick Fehring, Rich Fehring, R Fehring
PMID 36837601 36837601 DOI 10.3390/medicina59020400 10.3390/medicina59020400 Mu et al. 2023, Mu 2023