Accepted for/Published in: JMIR AI
Date Submitted: Nov 15, 2024
Open Peer Review Period: Nov 14, 2024 - Dec 2, 2024
Date Accepted: Mar 7, 2025
(closed for review but you can still tweet)
Toward More Informed Choices: Analysis of the Side Effects of Female Contraceptive Products Using Natural Language Processing of Online Drug Reviews
ABSTRACT
Background:
Most online and social media discussions about birth control methods for women center on side effects, highlighting a demand for shared experiences with these products. Online user reviews and ratings of birth control products offer a largely untapped supplementary resource that could assist women and their partners in making informed contraception choices.
Objective:
This study seeks to analyze women’s online ratings and reviews of various birth control methods, focusing on side effects linked to low product ratings.
Methods:
Using topic modeling and descriptive statistics, this study analyzes 19,506 unique reviews of female contraceptive products posted on Drugs.com.
Results:
Ratings vary widely across contraception types. Hormonal contraceptives with high systemic absorption, such as progestin-only pills and extended-cycle pills, receive more non-favorable reviews than other methods and women frequently describe menstrual irregularities, continuous bleeding, and weight gain associated with their administration. IUDs are generally rated more positively, though about one in ten users report severe cramps and pain which are linked to very poor ratings.
Conclusions:
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 healthcare providers, despite possible biases in online reviews. The findings suggest a need for further research to validate links between specific side effects, contraception methods and women’s overall well-being.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.