Fertility Awareness Effectiveness

Efficacy of methods for determining ovulation in a natural family planning program

Guida M, Tommaselli GA, Palomba S, Pellicano M, Moccia G, Di Carlo C, Nappi C

Published November 1999 Fertility and sterility
DOI 10.1016/s0015-0282(99)00365-9 PMID 10560997

Abstract

Objective

To evaluate the efficacy in ovulation detection of methods used in natural family planning in comparison with pelvic ultrasonography.

Design

Prospective analysis of ovulation detection by natural family planning methods and ultrasonography.

Setting

Natural family planning clinic, Department of Obstetrics and Gynecology, University of Naples "Federico II".

Patients

Forty healthy women who were highly motivated to use natural family planning.

Interventions

None.

Main Outcome Measures

Transvaginal ultrasonographic findings, urinary LH levels, salivary beta-glucuronidase activity, salivary ferning levels and characteristics of cervical mucus, and BBT.

Results

Urinary LH level determination yielded a 100% correlation with the simultaneous ultrasonographic diagnosis of ovulation. Mucus sensations and characteristics yielded a 48.3% correlation when simultaneously evaluated with ovulation. Beta-glucuronidase levels yielded a 27.7% correlation. The salivary ferning test had a 36.8% ovulation-detection rate the day of ovulation, but 58.7% of results were uninterpretable. Body temperature measurements yielded a 30.4% correlation with the simultaneous ultrasonographic diagnosis of ovulation.

Conclusions

Measuring urinary LH levels is an excellent method for determining ovulation. Although variations in mucus characteristics and basal body temperature correlate somewhat with ovulation, the length of the fertile period is overestimated with these methods. The salivary ferning test and measurement of beta-glucuronidase levels are not good methods for home ovulation testing.

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Topics

By this author

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Fertility Awareness › Effectiveness › Comparative Effectiveness · Diagnostics › Cycle Biomarkers › Ovulation Detection · Menstrual Cycle › Cycle Biomarkers › Hormonal Markers
Maurizio Guida, Giovanni A Tommaselli, Stefano Palomba, Massimiliano Pellicano, Gianfranco Moccia, Costantino Di Carlo, Carmine Nappi
M Guida, G Tommaselli, S Palomba, M Pellicano, G Moccia, C Carlo, C Nappi
PMID 10560997 10560997 DOI 10.1016/s0015-0282(99)00365-9 10.1016/s0015-0282(99)00365-9 Guida et al. 1999, Guida 1999