OBJECTIVE

To develop a standalone browser-based application for standardized collection of patient-reported outcome measures (PROMs) in facial plastic surgery across three time points—preoperative baseline (PRE), early postoperative outcome (POST), and late outcome (POST1)—with automated scoring and export for statistical analysis.

MATERIAL AND METHODS

A client-side application (HTML/CSS/JavaScript) running locally in a web browser was created. The tool supports item entry on a 1–4 scale (blocks A–C), captures patient ID, treatment group/technique, and surgery date, performs data validation, computes total scores mapped to a 0–100 scale, and calculates a normalized improvement coefficient relative to PRE separately for POST and POST1 using , where X is POST or POST1 (0–100 scale). Three methods for correction of age-related face changes were analyzed: high lifting of superficial muscular-aponeurotic system (SMAS), mobilization of SMAS in deep layer, and modified high SMAS lifting using zigzag cutting.

RESULTS

The tool implements the full cycle of PROM registration (input → validation → calculations → saving → upload), provides separate assessment of early and late results, as well as generates summary tables by intervention group for subsequent intergroup analysis. There were significant PROM improvements in all groups after mid- and lower-face rejuvenation surgeries compared to preoperative data. In early postoperative stage, mean normalized improvement coefficient was 0.669 for high SMAS lifting, 0.705 for deep-layer lifting, and 0.745 for zigzag SMAS lifting. In late stage, this indicator increased to 0.904, 0.946, and 0.962, respectively. Between-group differences in some composite indicators were significant (p<0.001), and within-group dynamics between time points PRE-POST, PRE-POST1 and POST-POST1 were significant in all groups (Wilcoxon test, p<0.001). These data confirm effectiveness of rejuvenation methods and informative value of standardized patient-centered outcome assessment tools.

CONCLUSION

The application improves reproducibility of patient-centered outcome assessments, reduces labor intensity of manual processing and simplifies data preparation for comparative studies of surgical techniques.