Plastic and Reconstructive Surgery, Global Open (Mar 2024)

Plastic Surgery or Facial Plastic Surgery: Can the Public Tell the Difference?

  • Rachel E. Pyon, MD,
  • Lohrasb R. Sayadi, MD,
  • Mikhail Pakvasa, MD,
  • Raj M. Vyas, MD,
  • Eric D. Wang, MD

DOI
https://doi.org/10.1097/GOX.0000000000005679
Journal volume & issue
Vol. 12, no. 3
p. e5679

Abstract

Read online

Background:. Social media and online advertising are increasingly used by plastic surgeons (PSs) to educate patients and obtain referrals, but it remains unclear whether the general public can distinguish the difference in training and accreditation among medical professionals advertising online. Our study elucidates the public’s expectations regarding the distinction between plastic surgery and facial plastic surgery. Methods:. A survey was distributed via MTurk, an Amazon surveying service, to collect information about demographics and assumptions that would be made solely based on the terminology “facial PS” (FPS) and “PS.” Participants were restricted to those residing in the United States. Results:. A total of 253 responses were collected. Based on the term FPS, respondents on average moderately to strongly agreed that they would expect an FPS to have completed a plastic and reconstructive surgery residency program (mean = 1.81; scale from 1= strongly agree to 5= strongly disagree) and would feel moderately to strongly misled if they visited an FPS for a consultation and later learned that the provider did not complete a plastic and reconstructive surgery residency (mean = 3.62; scale from 1 = not misled at all to 5 = extremely misled). Conclusions:. Despite increasing advocacy by professional societies and the member societies of the American Board of Medical Specialties, this study demonstrated that the lay public is unaware of factually different training and certification pathways given similarity in nomenclature. This study was notably not designed to draw conclusions or imply superiority of one specialty, certifying board, or training model over the other.