Patient Satisfaction Following Top Surgery: A RealSelf Analysis Using Advanced Natural Language Processing.

Background: Chest masculinization (top) surgery nearly tripled from 2016 to 2020 and is often the only gender-affirming procedure for transgender men. Outcomes are highly variable and operator-dependent, with limited research evaluating them from the patient's perspective. This study examined the impact of specific surgical metrics and procedure costs on patient-reported outcomes following top surgery.

Methods: RealSelf.com was queried for patient reviews. Extracted variables included procedure date, overall satisfaction, procedure cost, and written reviews. An artificial intelligence (AI) natural language processing tool was used for sentiment quantification from 0 to 1. Two authors analyzed sentiment on nipple-areolar complex (NAC) position, NAC quality, scar position, scar quality, and chest contour. Analysis of variance and Mann-Whitney U tested sentiment differences and cost comparisons, whereas the Pearson correlation analyzed cost-sentiment relationships.

Results: A total of 350 (96.42%) of 363 reviews were satisfactory, with an indication of "worth it" and mean sentiment score of 0.80. Worth it ratings had significantly higher median AI-generated positive sentiment scores than "not worth it" ratings (0.91 versus 0.56, P < 0.001). Additionally, patients had a mean satisfaction rate of 92% for the 5 surgical outcomes, with NAC positioning and quality being most influential. Procedure costs were not significantly different, nor did they demonstrate any correlation with satisfaction.

Conclusions: Chest masculinization surgeons can optimize patient satisfaction by focusing on key features, particularly related to NAC features and scars. The cost of this procedure did not significantly influence patient satisfaction. Practitioners can benefit from AI language tools to effectively analyze patient feedback and implement rapid improvements in their practice.