Protocolized Training of Advanced Practice Providers for Robotic Surgery Improves the Quality of Intraoperative Assistance

Abstract

BACKGROUND: The expansion of robotic surgery requires identifying factors of competent robotic bedside assisting. Surgical trainees desire more robotic console time, and we hypothesized that protocolized robotic surgery bedside training could equip Advanced Practice Providers (APPs) to meet this growing need. No standar-dized precedent exists for training APPs. METHODS: We designed a pilot study consisting of didactic and clinical skills. APPs completed didactic tests followed by proctored clinical skills checklists intraopera-tively. Operating surgeons scored trainees with 10-point Likert scale (< 5 not confident, > 5 = confident). APPs scoring > 5 advanced to a solo practicum. Competence was defined as: didactic test score > 75th percentile, com-pleting < 5 checklists, scoring > 5 on the practicum. The probability of passing the practicum was calculated with Bayes theorem. RESULTS: Of 10 APP trainees, 5 passed on initial attempt. After individualized development plans, 4 passed retest-ing. Differences in trainee factors were not statistically significant, but the probability of passing the practicum was < 50% if more than four checklists were needed. CONCLUSIONS: Clinical experience, not didactic knowledge, determines the probability of intraoperative competence. Increasing clinical proctoring did not result in higher probability of competence. Early identification of APPs needing individualized improvement increases the proportion of competent APPs.