Flowing data: women’s views and experiences on privacy and data security when using menstrual cycle tracking apps

Menstrual cycle tracking apps are mobile applications that help female users track their menstrual cycle and gain future period predictions. Although these apps have advantages, they have been criticized for their lack of accuracy in prediction and poor adherence to privacy laws. This qualitative study aimed to explore the experiences and perceptions of users of period tracking apps with a focus on data security and privacy. Twenty-five female users between 19 and 38 years of age who have experience with menstrual app usage were interviewed via online video conferencing tools using a semi-structured interview technique. Data analysis was done using inductive thematic analysis, and eight themes were identified. The participants stated that they prefer apps that provide good period predictions and have a better user interface. They also expressed a desire to have ownership over their data and their access and that the apps should provide clearer privacy statements. The results of this study are vital for app developers to consider when designing or updating their apps to ensure that it is suited for a diverse group of end users. They must also implement stricter data protection measures so users can trust the apps with their information. Further research needs to be conducted to gain insights from different cohorts of users.

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Publication Details

Journal
Oxford Open Digital Health
Published
2025-01-01
DOI
https://doi.org/10.1093/oodh/oqaf011
Citations
2
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
5.63
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article

Flowing data: women’s views and experiences on privacy and data security when using menstrual cycle tracking apps

Judy Jenkins, Sarika Mohan
2 citations
Oxford Open Digital Health
Mobile Health and mHealth Applications
5.63
article

Flowing data: women’s views and experiences on privacy and data security when using menstrual cycle tracking apps

Judy Jenkins, Sarika Mohan
article en
2 citations

Abstract

Menstrual cycle tracking apps are mobile applications that help female users track their menstrual cycle and gain future period predictions. Although these apps have advantages, they have been criticized for their lack of accuracy in prediction and poor adherence to privacy laws. This qualitative study aimed to explore the experiences and perceptions of users of period tracking apps with a focus on data security and privacy. Twenty-five female users between 19 and 38 years of age who have experience with menstrual app usage were interviewed via online video conferencing tools using a semi-structured interview technique. Data analysis was done using inductive thematic analysis, and eight themes were identified. The participants stated that they prefer apps that provide good period predictions and have a better user interface. They also expressed a desire to have ownership over their data and their access and that the apps should provide clearer privacy statements. The results of this study are vital for app developers to consider when designing or updating their apps to ensure that it is suited for a diverse group of end users. They must also implement stricter data protection measures so users can trust the apps with their information. Further research needs to be conducted to gain insights from different cohorts of users.

Oxford Open Digital HealthVol. 3
Swansea University (GB)
Openalex Percentile: Top 5%
Mobile Health and mHealth Applications
5.63
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