Privacy pitfalls: challenges in FemTech app adoption

Purpose FemTech, a growing field focusing on women’s health through technology, has gained popularity with applications that track menstrual cycles, fertility and overall wellness. Despite their benefits, FemTech apps face widespread concerns regarding data privacy, potentially hindering their adoption and long-term use. This study aims to explore privcy-related barriers to FemTech adoption by analyzing privacy policies and user reviews, to identify key concerns. Design/methodology/approach An in-depth analysis of the privacy policies of popular FemTech apps and an examination of user-generated reviews filtered for privacy-related keywords were conducted to identify fallacies and user pain points. Findings Results reveal issues related to data-sharing practices, location data collection, data retention, the lack of opt-in policies and lack of clarity or total absence of privacy policies, all contributing to privacy concerns that deter users. Originality/value This study provides insights that can guide app developers, policymakers and regulators in creating privacy-compliant solutions to enhance the trust, adoption and sustained use of FemTech apps, ultimately benefiting women’s health.

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Publication Details

Journal
Information and Computer Security
Published
2026-01-21
DOI
https://doi.org/10.1108/ics-12-2024-0319
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Privacy pitfalls: challenges in FemTech app adoption

Saini Das, Shreya Mukherjee, Aparna Iyer, S Srinivasan
Information and Computer Security
Mobile Health and mHealth Applications
article

Privacy pitfalls: challenges in FemTech app adoption

Saini Das, Shreya Mukherjee, Aparna Iyer, S Srinivasan
article en

Abstract

Purpose FemTech, a growing field focusing on women’s health through technology, has gained popularity with applications that track menstrual cycles, fertility and overall wellness. Despite their benefits, FemTech apps face widespread concerns regarding data privacy, potentially hindering their adoption and long-term use. This study aims to explore privcy-related barriers to FemTech adoption by analyzing privacy policies and user reviews, to identify key concerns. Design/methodology/approach An in-depth analysis of the privacy policies of popular FemTech apps and an examination of user-generated reviews filtered for privacy-related keywords were conducted to identify fallacies and user pain points. Findings Results reveal issues related to data-sharing practices, location data collection, data retention, the lack of opt-in policies and lack of clarity or total absence of privacy policies, all contributing to privacy concerns that deter users. Originality/value This study provides insights that can guide app developers, policymakers and regulators in creating privacy-compliant solutions to enhance the trust, adoption and sustained use of FemTech apps, ultimately benefiting women’s health.

Information and Computer Security
Indian Institute of Technology Kharagpur (IN), University of Madras (IN), Madras Institute of Development Studies (IN), Indian Institute of Technology Madras (IN)
Gender equality
Openalex Percentile: Top 84%
Mobile Health and mHealth Applications
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