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Research Article Open access CC BY 4.0

Robotic-assisted Surgery (RAS) Training Dimensions and Self-reported Clinical Competence of Nurses in a Tertiary Government Hospital in Riyadh, Saudi Arabia

Ivy A. Mejorada, Gelbert Jan Porque

Asian Journal of Research in Surgery · pp. 976–990 · Published 31 Oct 2026

10.9734/ajrs/2026/v9i2437

Abstract

Aims: This study examined the relationships between RAS training dimensions and nurses’ self-reported clinical competence in a tertiary government hospital in Riyadh, Saudi Arabia, and descriptively evaluated perceived training effectiveness using Kirkpatrick’s Four-Level Training Evaluation Model. Methodology: A quantitative descriptive-correlational design was used. Of 142 eligible nurses invited, 122 provided valid responses, yielding an 85.92% response rate. Data were analysed using descriptive statistics, point-biserial correlation, Spearman’s rank-order correlation, and bootstrapped multiple linear regression at α = .05. The study was conducted in the Main Operating Room of a tertiary government hospital in Riyadh, Saudi Arabia. Results: All RAS training dimensions were rated Very High: Training Content had the highest mean (M = 4.777), followed by Hands-On Practice (M = 4.728) and Simulation-Based Activities (M = 4.696). Training effectiveness and self-reported clinical competence were also rated Very High. Sex was not significantly associated with competence (rpb = .144, p = .113), whereas age, nursing experience, perioperative experience, RAS training programs attended, and RAS cases handled showed significant positive associations (all p < .001). Training Content (ρ = .646), Simulation-Based Activities (ρ = .618), and Hands-On Practice (ρ = .717) were positively associated with competence; overall RAS training showed ρ = .755 (p < .001). The regression model explained 59.0% of the variance in self-reported clinical competence (R² = .590, p < .001), with Hands-On Practice as the only significant independent predictor (β = .510, p < .001). Findings support strengthening supervised hands-on clinical exposure while retaining theoretical instruction and simulation as complementary RAS training components. Conclusion: Higher ratings of hands-on practice were independently associated with higher self-reported clinical competence. Findings do not establish causation or objectively assessed competence.

Robotic-assisted surgery perioperative nursing hands-on training simulation-based education self-reported clinical competence nursing education

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