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Published on: May 17, 2024
Factors contributing to patient-reported satisfaction with breast augmentation six months postoperatively
Kim Phi Luong1, Harm P Slijper2, Laura Zaal3
1Department of Plastic and Reconstructive Surgery, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands; Research Center, Velthuis kliniek, Eindhoven, the Netherlands.
Patient and breast characteristics explain little of breast augmentation satisfaction. Postoperative well-being and clinician assessment are key factors influencing patient satisfaction with breast augmentation outcomes.
Area of Science:
- Plastic Surgery
- Patient-Reported Outcomes
Background:
- Breast augmentation is a common cosmetic procedure with generally high patient satisfaction.
- Variability in patient satisfaction necessitates identifying key influencing factors.
Purpose of the Study:
- To identify determinants of patient satisfaction following primary breast augmentation.
- To understand the variance in satisfaction with breast outcomes.
Main Methods:
- A multicenter observational cohort study included 1058 primary breast augmentation patients (2016-2021).
- Patient satisfaction was measured using the BREAST-Q (Breast-Q) at six months postoperatively.
- Hierarchical multivariable regression analyses assessed 27 determinants across patient, anatomical, implant, and outcome variables.
Main Results:
- Patient, preoperative, and postoperative breast characteristics, along with preoperative BREAST-Q scores, explained only 6% of satisfaction variance.
- Inclusion of postoperative BREAST-Q scores increased explained variance to 34%.
- Greater age, higher preoperative satisfaction, better clinician visual analogue scale (VAS) appearance, and improved postoperative psychosocial, physical, and sexual well-being were associated with higher satisfaction.
Conclusions:
- Traditional patient, anatomical, and implant characteristics have limited impact on breast augmentation satisfaction.
- Postoperative well-being and clinician assessment significantly influence patient satisfaction.
- Further research is needed to explain the substantial unexplained variance in patient satisfaction.

