CC BY-NC-ND 4.0 · Arch Plast Surg 2022; 49(05): 614-616
DOI: 10.1055/s-0042-1756296
Breast/Trunk: Case Report

A Cross-Sectional Analysis of Breast Reconstruction with Fat Grafting Content on TikTok

1   Oakland University William Beaumont School of Medicine, Rochester, Michigan
,
Jithin John
1   Oakland University William Beaumont School of Medicine, Rochester, Michigan
,
Monik Gupta
2   The University of Toledo Health Science Campus, Toledo, Ohio
,
Misha Haq
1   Oakland University William Beaumont School of Medicine, Rochester, Michigan
,
Emanuela Peshel
3   Department of General Surgery, Beaumont Health Systems, Royal Oak, Michigan
,
Elizabeth Boudiab
3   Department of General Surgery, Beaumont Health Systems, Royal Oak, Michigan
,
Kenneth Shaheen
4   Department of Plastic Surgery, Beaumont Health Systems, Royal Oak, Michigan
,
4   Department of Plastic Surgery, Beaumont Health Systems, Royal Oak, Michigan
› Author Affiliations
Funding None.

Abstract

As of November 2021, TikTok has one billion monthly active users and is recognized as the most engaging social media platform. TikTok has seen a surge in users and content creators, ranging from athletes to medical professionals. In the past year, content creators have utilized the app to advocate for social reforms, education, and other uses that were not previously considered. Breast cancer is the most commonly diagnosed cancer in women, with an expected 281,550 new cases of invasive breast cancer in 2021. As more individuals with breast cancer choose to undergo resection, the demand for autologous fat grafting in breast reconstruction has increased due to the natural look and feel of breast tissue. The purpose of this article is to analyze content related to breast reconstruction with fat grafting found on TikTok and recommend methods to improve patient education, care, and outcomes.

We searched TikTok on November 1, 2021, for videos using the phrase “breast reconstruction with fat grafting.” The top 200 videos retrieved from the TikTok search algorithm were analyzed, and all commentaries, duplicates, and nonrelevant videos were removed. Video characteristics were collected, and two independent reviewers generated a DISCERN score

A total of 131 videos were included in the study. They were found to have a combined 1,871,980 likes, 41,113 comments, and 58,662 shares. The videos had an average DISCERN score of 2.16. Content creators had an overall low DISCERN score in items involving the use of references, disclosure of risks for not obtaining treatment, and support for shared decision-making. When stratified, the DISCERN score was higher for videos created by physicians (DISCERN average 2.48) than for videos created by nonphysicians (DISCERN average 1.99; p < 0.001).

Content creators can improve the quality of their videos by disclosing treatment risks, benefits and risks, discussing risks for not obtaining treatment, and advocating for shared decision-making. Furthermore, including citations and academic references may offer increased credibility and promote evidence practice. This article is limited by the variability seen on the TikTok platform that is influenced by algorithmic trends. The top 200 search results vary, making each compilation of videos selected for analysis unique. Furthermore, although DISCERN is a reliable source to assess patient information, it has not been tested for its reliability with videos such as on TikTok. Despite TikTok being developed as a social media platform, it has shown to be a medium for patient outreach and an educational tool.

Authors' Contributions

Conceptualization: R.G., J.J., M.G., M.H., E.P., E.B., K.S., and K.C.; methodology: R.G., J.J., M.G., M.H., E.P., E.B., K.S., K.C.; writing: original draft: R.G., J.J., M.G., M.H., E.P., E.B., E.S., K.C.; review & editing: R.G., J.J.


Ethical Approval

No IRB consent was required for this article.




Publication History

Received: 03 December 2021

Accepted: 26 April 2022

Article published online:
23 September 2022

© 2022. The Korean Society of Plastic and Reconstructive Surgeons. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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