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Public Interest in Textured Breast Implants Recall: A Google Trends Analysis.
Public Interest in Textured Breast Implants Recall: A Google Trends Analysis. Aesthetic plastic surgery Dayani, F., Tijerina, J. D., Morrison, S. D., Nazerali, R. S. 2020Abstract
BACKGROUND: Large-scale media coverage of health care outcomes can have a profound influence on health care utilization by the general population. Google trends (GT), an online resource, allows for tracking of global search volumes as a proxy for determining public interest.OBJECTIVE: To utilize GT to characterize measurable effects on public interest in breast implant removal procedures and breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) following March 2019 FDA Advisory Committee Meeting and July 2019 public statements by the FDA and Allergan announcing the voluntary recall of BIOCELL textured breast implants.METHODS: GT databases of search volumes were collected for terms related to 3 categories including Allergan BIOCELL textured breast implants, BIA-ALCL, and breast implant removal from January 2004 to October 2019. The short-term and long-term interests were determined by the percent change in monthly search volumes with respect to the announcements from Allergan and FDA Advisory Committee Meeting.RESULTS: Following Allergan's recall announcement, public interest in "textured breast implants" and "allergan breast implant" peaked in July 2019 and rose 456%and669%, respectively. Public interest in "anaplastic large cell lymphoma breast implant" and "ALCL cancer" rose 200 and 175%, respectively. Long-term interest in all implant removal terms was found to be higher after March 2019 FDA Advisory Committee Meeting than beforehand (p<0.05).CONCLUSIONS: GT data correlate with shifts in real-world health care utilization and public interest caused by high-profile media coverage, making it a useful tool for providers for real-time prediction of trends in public health in response to observable influences.LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
View details for DOI 10.1007/s00266-020-01724-z
View details for PubMedID 32356152