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自然周期应用程序:英国用户的避孕效果及人口统计学分析

Natural Cycles app: contraceptive outcomes and demographic analysis of UK users.

作者信息

Pearson Jack T, Chelstowska Magda, Rowland Simon P, Mcilwaine Emily, Benhar Eleonora, Berglund Scherwitzl Elina, Walker Susan, Gemzell Danielsson Kristina, Scherwitzl Raoul

机构信息

Natural Cycles Nordic AB, Stockholm, Sweden.

Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, UK.

出版信息

Eur J Contracept Reprod Health Care. 2021 Apr;26(2):105-110. doi: 10.1080/13625187.2020.1867844. Epub 2021 Feb 4.

Abstract

PURPOSE

Digital fertility awareness-based contraception offers an alternative choice for women who do not wish to use hormonal or invasive methods. The aim of this study was to investigate the key demographics of current users of the Natural Cycles app and assess the contraceptive outcomes of women preventing pregnancy in a UK cohort of women.

MATERIALS AND METHODS

This was a real world observational prospective observational study. The typical-use effectiveness of the method was calculated using both 13-cycle cumulative probability of pregnancy (life table analysis) and Pearl Index for the entire study cohort. Perfect-use PI was calculated using data from cycles where sexual intercourse during the fertile window was marked as protected and no unprotected sex was recorded on fertile days.

RESULTS

12,247 women were included in the study and contributed an average of 9.9 months of data for a total of 10,066 woman years of exposure. The mean age of the cohort was 30, mean BMI 23.4, the majority were in a stable relationship (83.2%) and had a university degree or higher (83%). The one year typical use, PI was 6.1 (95% CI: 5.6, 6.6) and with perfect-use was 2.0 (95% CI: 1.3, 2.8). 13 cycle pregnancy probability was 7.1%.

CONCLUSIONS

This is the first study which describes the use of a digital contraceptive by women in the UK. It describes the demographics of users and how they correlate with the apps effectiveness at preventing pregnancy.

摘要

目的

基于数字生育意识的避孕方法为不希望使用激素或侵入性方法的女性提供了一种替代选择。本研究的目的是调查使用自然周期应用程序的当前用户的关键人口统计学特征,并评估英国一组女性中预防怀孕的女性的避孕效果。

材料与方法

这是一项真实世界的观察性前瞻性研究。使用13周期累积怀孕概率(生命表分析)和整个研究队列的 Pearl 指数来计算该方法的典型使用有效性。完美使用PI是根据在易受孕期有性行为被标记为受保护且在易受孕期未记录到无保护性行为的周期数据计算得出的。

结果

12247名女性被纳入研究,平均贡献了9.9个月的数据,总计10066女性年的暴露时间。队列的平均年龄为30岁,平均BMI为23.4,大多数人处于稳定关系(83.2%)且拥有大学学位或更高学历(83%)。一年典型使用的PI为6.1(95%CI:5.6,6.6),完美使用时为2.0(95%CI:1.3,2.8)。13周期怀孕概率为7.1%。

结论

这是第一项描述英国女性使用数字避孕方法的研究。它描述了用户的人口统计学特征以及它们与应用程序预防怀孕有效性的相关性。

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