Fertility Awareness Technology

A Critical Appraisal of Fertility and Menstrual Tracking Apps for the iPhone

Zwingerman R, Chaikof M, Jones C

Published May 2020 Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC
DOI 10.1016/j.jogc.2019.09.023 PMID 31882289

Abstract

Critical to restorative reproductive medicine

Objective

This study sought to review and appraise Apple App Store applications (apps) designed for menstrual cycle tracking, ovulation prediction, and other topics related to fertility or the management of infertility.

Methods

The Apple App Store was systematically searched using the keywords "period tracker," "menstrual tracker," "fertility," "ovulation," "IVF," and "in vitro fertilization." Apps were downloaded after being screened against pre-defined inclusion criteria. Included apps were independently reviewed by two authors. Data were extracted, and an app quality score (AQS) was calculated according to a premade rubric. Apps were assessed on the basis of their general features, menstrual cycle tracking and prediction features, infertility-related features, and usability.

Results

A total of 140 apps were included in the final analysis, of which 90 (64.3%) were free. The average AQS was 32.5%. There was no significant difference in AQS between free and paid apps (31.5% vs. 34.2%; P = 0.491). A total of 62 (44.3%) apps made dynamic cycle predictions on the basis of cumulatively input data. Thirty-one apps (22.1%) contained serious inaccuracies in content, tools, or both. Only 25 apps (17.9%) contained information or functions specifically related to infertility or its management.

Conclusion

Some high-quality menstrual cycle tracking apps are available; however, many more are of low quality, and users should be wary of relying on their predictions to avoid pregnancy or to maximize chances of conception. Few apps specifically address the needs of patients struggling with infertility.

Topics

Related research

Fertility Awareness › Technology › Cycle Tracking Apps
Rhonda Zwingerman, Michael Chaikof, Claire Jones
R Zwingerman, Mike Chaikof, M Chaikof, C Jones
PMID 31882289 31882289 DOI 10.1016/j.jogc.2019.09.023 10.1016/j.jogc.2019.09.023 Zwingerman et al. 2020, Zwingerman 2020