Menstrual Cycle Tracking Apps, Fertility and Reproductive Data, and Mobile Health Care Management
Katarina Zvarikova1, Veronika Machova2, and Aurel Pera3ABSTRACT. This paper provides a systematic literature review of studies investigating maternal and infant health apps assisting digital health-based maternity care. The analysis highlights that fertility data tracking and monitoring can be pivotal in reproductive health. Throughout January 2022, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “menstrual cycle tracking apps” + “fertility and reproductive data,” “mobile health care management,” and “technological self-surveillance.” As we inspected research published between 2013 and 2022, only 144 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 21, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.
Keywords: fertility tracking app; women’s sexual and reproductive health; technological self-surveillance
How to cite: Zvarikova, K., Machova, V., and Pera, A. (2022). “Menstrual Cycle Tracking Apps, Fertility and Reproductive Data, and Mobile Health Care Management,” Journal of Research in Gender Studies 12(1): 84–98. doi: 10.22381/JRGS12120226.
Received 23 February 2022 • Received in revised form 19 July 2022
Accepted 24 July 2022 • Available online 30 July 2022