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Smartphone apps not so smart at helping users avoid or achieve pregnancy

Date:
June 30, 2016
Source:
Georgetown University Medical Center
Summary:
You might not want to depend on your smartphone app alone to help you avoid or achieve pregnancy, say the authors of a new study. A review of nearly 100 fertility awareness apps finds that most don't employ evidence-based methodology.
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You might not want to depend on your smartphone app alone to help you avoid or achieve pregnancy, say the authors of a new study. A review of nearly 100 fertility awareness apps finds that most don't employ evidence-based methodology.

The findings, published in the Journal of the American Board of Family Medicine, also found that many apps include a disclaimer discouraging use for avoiding pregnancy.

The study was led by Marguerite Duane, MD, MHA, FAAFP, adjunct associate professor at Georgetown University School of Medicine and executive director of Fertility Appreciation Collaborative to Teach the Science (FACTS). Additional researchers include Alison Contreras, PhD, FCP, of FACTS, Elizabeth T. Jensen, MPH, PhD, of Wake Forest School of Medicine, and Amina White, MD, MA, of University of North Carolina at Chapel Hill.

"Smartphone apps are increasing in popularity because more and more women are interested in using natural or fertility awareness based methods of family planning because they want to feel empowered with greater knowledge of their bodies," says Duane, a family physician.

But as the authors write, "The effectiveness of fertility awareness based methods (FABMs) depends on women observing and recording fertility biomarkers and following evidence-based guidelines. Apps offer a convenient way to track fertility biomarkers, but only some employ evidence-based FABMs."2

Success using FABMs depends on many factors, including the ability to accurately make and classify daily observations. But the authors say relying solely on an FABM app may not be sufficient to avoid pregnancy.

For the review, more than 95 apps were identified on iTunes, Google, or Google play. Of those, 55 were excluded from evaluation because they either had a disclaimer prohibiting use for avoiding pregnancy or did not claim to employ an evidence-based FABM.

The researchers evaluated the remaining 40 apps for accuracy using a rating system based on criteria used by Family Practice Management. Each app was rated on a five-point scale for 10 clearly defined criteria, which were weighted based on their level of importance for avoiding pregnancy.

"Of those reviewed, 30 apps predict days of fertility for the user and 10 do not.

Only six apps had either a perfect score on accuracy or no false negatives (days of fertility classified as infertile)," the researchers wrote.

Apps that do not predict fertile days scored high on accuracy only if they required women receive training in an FABM prior to using the app.

"When learning how to track your fertility signs, we recommend that women first receive instruction from a trained educator and then look for an app that scored 4 or more on mean accuracy and authority in our review," says Dr. Duane.


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Materials provided by Georgetown University Medical Center. Note: Content may be edited for style and length.


Journal Reference:

  1. Marguerite Duane, Alison Contreras, Elizabeth T. Jensen, Amina White. The Performance of Fertility Apps Marketed to Avoid Pregnancy. Journal of the American Board of Family Medicine, June 2016 DOI: 10.3122/jabfm.2016.04.160022

Cite This Page:

Georgetown University Medical Center. "Smartphone apps not so smart at helping users avoid or achieve pregnancy." ScienceDaily. ScienceDaily, 30 June 2016. <www.sciencedaily.com/releases/2016/06/160630092053.htm>.
Georgetown University Medical Center. (2016, June 30). Smartphone apps not so smart at helping users avoid or achieve pregnancy. ScienceDaily. Retrieved May 23, 2017 from www.sciencedaily.com/releases/2016/06/160630092053.htm
Georgetown University Medical Center. "Smartphone apps not so smart at helping users avoid or achieve pregnancy." ScienceDaily. www.sciencedaily.com/releases/2016/06/160630092053.htm (accessed May 23, 2017).

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