(421) Survey Sampling Methods in Aesthetic Surgery: A Critical Appraisal of Modern Consumer Representation

Introduction: Survey research characterizes patient motivations in aesthetic medicine, but relies on clinic-based convenience samples and digital recruitment channels. This study assesses strategies for recruitment, reporting, bias-testing, and fraud-control that produce representative, valid survey data.

Methods: Selective literature review with methodological commentary appraising survey sampling practices in aesthetic surgery. PubMed and Google Scholar (2010–2025) were searched using terms including "aesthetic," "cosmetic surgery," "survey sampling," and "recruitment methodology." Findings were synthesized narratively and compared against ASPS/ISAPS registry data.

Results: Methodological weaknesses persist: 24% of plastic surgery survey questions contain bias, only 13% disclose full instruments, and 7.9% perform sample size calculations. Aesthetic consumers are demographically narrow (86.1% female, 91.8% college-educated, aged 30-55), suggesting population-based sampling misrepresents treatment-seekers. From 2010-2023, non-White procedures increased ~10% annually, yet clinical trials remain 78% White. Crowdsourced samples (n=1,259; mean age 42.6±11.9 years) show close registry concordance. Social media recruitment without controls produced up to 94.5% invalid responses.

Conclusions: Population-based sampling may systematically misrepresent aesthetic consumers. Fit-for-purpose sampling that combines fraud prevention, transparent reporting (CROSS, CHERRIES), and confounder adjustment aligned with consumer populations could improve future data quality. Prospective validation comparing patient-reported outcomes across sampling methods is warranted.