Contextualizing Breast Implant Removal Patterns with Google Trends: Big Data Applications in Surgical Demand.

ABSTRACT: The demand for breast implant removal (BIR) has increased substantially in recent years. This study leveraged large datasets available through Google Trends to understand how changes in public perception could be influencing surgical demand, both geographically and temporally.

Methods

Using Google Trends, we extracted relative search volume for BIR-related search terms in the United States from 2006 to 2019. A network of related search terms was established using pairwise correlative analysis. Terms were assessed for correlation with national BIR case volume based on annual reports provided by the American Society of Plastic Surgeons. A surgical demand index for BIR was created on a state-by-state basis.

Results

A network of internally correlated BIR search terms was found. S

SUBMITTER: Tian WM 

PROVIDER: S-EPMC8812673 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature