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Dataset Information

Insights on the Side Effects of Female Contraceptive Products From Online Drug Reviews: Natural Language Processing-Based Content Analysis.


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 sought to analyze women's online ratings and reviews of various birth control methods, focusing on side effects linked to low product ratings.

Methods

Using natural language processing (NLP) for topic modeling and descriptive statistics, this study analyzes 19,506 unique reviews of female contraceptive products posted on the website Drugs.com.

Results

Ratings vary widely acros

SUBMITTER: Groene N 

PROVIDER: S-EPMC12006776 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature