This is the third study by the company Natural Cycles on their product, a mobile phone
fertility tracking app, based on an algorithm that relies primarily on basal body temperature shifts and menstrual cycle lengths [
[1]
]. The first two studies by Bergund Scherwitzl et al. have already been criticized
[
[2]
].- Frank-Herrmann P.
- Stanford J.B.
- Freundl G.
Fertility awareness-based mobile application.
Eur J Contracept Reprod Health Care. 2017; 22 ([Epub 2017 Aug 29]): 396-397https://doi.org/10.1080/13625187.2017.1362691
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References
- Perfect-use and typical-use pearl index of a contraceptive mobile app.Contraception. 2017; 96: 420-425
- Fertility awareness-based mobile application.Eur J Contracept Reprod Health Care. 2017; 22 ([Epub 2017 Aug 29]): 396-397https://doi.org/10.1080/13625187.2017.1362691
- Identification and prediction of the fertile window using NaturalCycles.Eur J Contracept Reprod Health Care. 2015; 20 ([Epub 2015 Aug 26]): 403-408https://doi.org/10.3109/13625187.2014.988210
- Prediction of ovulation by urinary hormone measurements with the home use ClearPlan fertility monitor: comparison with transvaginal ultrasound scans and serum hormone measurements.Hum Reprod. 2000; 15: 2478-2482
- Relationships between the luteinizing hormone surge and other characteristics of the menstrual cycle in normally ovulating women.Fertil Steril. 2013; 99: 279-285
Article info
Publication history
Published online: February 14, 2019
Accepted:
July 25,
2018
Received:
May 31,
2018
Identification
Copyright
© 2019 Elsevier Inc. All rights reserved.
