Fertility Awareness · Technology

The Performance of Fertility Awareness-based Method Apps Marketed to Avoid Pregnancy

Duane M, Contreras A, Jensen ET, White A

Published July 9, 2016 Journal of the American Board of Family Medicine : JABFM, 29(4), 508-511
DOI 10.3122/jabfm.2016.04.160022 PMID 27390383
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RRM Academy Synopsis

Most Fertility Apps Carry Disclaimers or Lack Evidence-Based Methods

Of 95 fertility apps, 55 forbade use to prevent pregnancy or did not claim an evidence-based FABM. A 2016 brief report scored the rest on real cycle data. Only 6 of 40 reviewed apps had perfect accuracy or no false negatives.

Key Findings

  • Searches of iTunes, Google, and Google Play identified 95 apps. The authors excluded 55 that carried a disclaimer prohibiting use for avoiding pregnancy or did not claim an evidence-based FABM.
  • Of the apps reviewed, 30 predicted days of fertility for the user and 10 did not.
  • Only 6 apps earned a perfect accuracy score, meaning app-defined fertile days matched evidence-based fertile days, or had no false negatives, meaning no fertile days labeled infertile.
  • At least 1 app reached a perfect accuracy score in every FABM category except symptohormonal methods.
  • Several popular apps use proprietary algorithms that peer-reviewed literature has not evaluated, which makes them hard to assess.

Interpretation

The report is a brief study from a family medicine journal. The authors built a rating tool and scored each app against 7 cycles of daily fertility observations derived from real cycle data. The report presents no pregnancy outcomes. Some scoring, such as ease of use, involved reviewer subjectivity, which is why the authors ranked apps on accuracy and authority. The findings cover apps available in 2016. The authors conclude that an app alone, used without training in the method, may fall short of preventing pregnancy.

RRM Context

The authors cite level 1 studies of FABMs used correctly, with effectiveness similar to common hormonal birth control. Restorative reproductive medicine builds on cycle charting. The method-level evidence belongs to named methods such as Creighton, symptothermal, and two-day. The rating tool used those methods as its standards.

Abstract

Introduction

In recent years there has been an explosion in the development of medical apps, with more than 40,000 apps now available. Nearly 100 apps allow women to track their fertility and menstrual cycles and can be used to avoid or achieve pregnancy. Apps offer a convenient way to track fertility biomarkers. However, only some use evidence-based fertility awareness-based methods (FABMs), which with ideal use have rates of effectiveness similar to those of commonly used forms of hormonal birth control. Since having a baby or preventing a pregnancy are important responsibilities, it is critical that women and couples have access to reliable, evidence-based apps that allow them to accurately track their fertility.

Methods

We developed a tool to evaluate and rate fertility apps. This tool is specifically designed to help couples avoid pregnancy.

Results

Results showed that the majority of fertility apps are not based on evidence-based FABMs or include a disclaimer discouraging use for avoiding pregnancy. However, at least 1 app in each FABM category (except symptohormonal methods) had a perfect score on accuracy.

Conclusion

Relying solely on an app to use an FABM, without appropriate training in the method, may not be sufficient to prevent pregnancy.

Topics

By this author

Related research

Fertility Awareness › Technology › Cycle Tracking Apps · Research Methods › Evidence Synthesis › Systematic Reviews
Alison Contreras, Elizabeth T Jensen, Amina White, Marguerite Duane
A Contreras, Liz Jensen, Beth Jensen, Betsy Jensen, E Jensen, A White, M Duane
PMID 27390383 27390383 DOI 10.3122/jabfm.2016.04.160022 10.3122/jabfm.2016.04.160022 Duane et al. 2016, Duane 2016

Cite this article

Duane, M., Contreras, A., Jensen, E. T., & White, A. (2016). The Performance of Fertility Awareness-based Method Apps Marketed to Avoid Pregnancy. Journal of the American Board of Family Medicine : JABFM, 29(4), 508-511. https://doi.org/10.3122/jabfm.2016.04.160022