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The Digital Fabric of Reproductive Technologies: ertility, Pregnancy, and Menstrual Cycle Tracking Apps

The Digital Fabric of Reproductive Technologies: ertility, Pregnancy, and Menstrual Cycle... In this article, I cumulate previous research findings indicating that fertility, pregnancy, and menstrual cycle tracking apps configure the digital fabric of reproductive technologies. I contribute to the literature on female reproductive health apps and supportive fertility technologies by showing that fertility awareness-based mobile apps can predict ovulation and optimize the conception chance. Throughout June 2021, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “period and fertility tracking apps,” “female reproductive health apps,” “menstrual cycle tracking apps,” and “fertility awareness-based mobile apps.” As I inspected research published in 2019 and 2021, only 188 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 21, generally empirical, sources. Subsequent analyses should develop on the advancement of smartphone apps designed for female reproductive health. Future research should thus investigate the relationship between female-specific health data, digital tools, and self-monitoring and self-tracking connected health devices. Attention should be directed to period and fertility tracking apps as devices that assist health monitoring. Keywords: fertility; pregnancy; menstrual; tracking app; reproductive technology http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Research in Gender Studies Addleton Academic Publishers

The Digital Fabric of Reproductive Technologies: ertility, Pregnancy, and Menstrual Cycle Tracking Apps

Larry Bailey
The Journal of Research in Gender Studies , Volume 11 (2): 13 – Jan 1, 2021
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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
2164-0262
eISSN
2378-3524
Publisher site
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Abstract

In this article, I cumulate previous research findings indicating that fertility, pregnancy, and menstrual cycle tracking apps configure the digital fabric of reproductive technologies. I contribute to the literature on female reproductive health apps and supportive fertility technologies by showing that fertility awareness-based mobile apps can predict ovulation and optimize the conception chance. Throughout June 2021, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “period and fertility tracking apps,” “female reproductive health apps,” “menstrual cycle tracking apps,” and “fertility awareness-based mobile apps.” As I inspected research published in 2019 and 2021, only 188 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 21, generally empirical, sources. Subsequent analyses should develop on the advancement of smartphone apps designed for female reproductive health. Future research should thus investigate the relationship between female-specific health data, digital tools, and self-monitoring and self-tracking connected health devices. Attention should be directed to period and fertility tracking apps as devices that assist health monitoring. Keywords: fertility; pregnancy; menstrual; tracking app; reproductive technology

Journal

The Journal of Research in Gender Studies – Addleton Academic Publishers

Published: Jan 1, 2021

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