Insights on the Side Effects of Female Contraceptive Products From Online Drug Reviews: Natural Language Processing–Based Content Analysis
While exploratory, this study highlights the potential of NLP in analyzing extensive online reviews to reveal insights into women's experiences with contraceptives and the impact of side effects on their overall well-being. In addition to results from clinical studies, NLP-derived insights from online reviews can provide complementary information for women and health care providers, despite possible biases in online reviews. The findings suggest a need for further research to validate links between specific side effects, contraceptive methods, and women's overall well-being.
Authors
- Nicole Groene (ORCID: https://orcid.org/0009-0007-4896-6145)
- Amanda Rohn
- Audrey Nickel
Institutions
- FOM University of Applied Sciences for Economics and Management (DE)
- Dassault Systèmes (Germany) (DE)
- Virginia Hospital Center (US)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-04-03
- DOI
- https://doi.org/10.2196/68809
- Citations
- 1
- Primary Topic
- Reproductive Health and Contraception
- Type
- article
- Field-Weighted Citation Impact
- 1.88