A web-based self-learning system for ultrasound-guided vascular access.

Area of Science:

• Medical Education
• Point-of-Care Ultrasound
• Surgical Skills Training

Background:

• Ultrasound-guided vascular access is a critical skill for healthcare professionals.
• Current educational methods for this skill require optimization.
• Web-based learning offers a potential solution for standardized, self-paced training.

Purpose of the Study:

• To evaluate the effectiveness of a step-by-step web-based learning system for self-teaching ultrasound-guided vascular access.
• To assess the system's ability to help residents acquire essential procedural skills.
• To determine the time efficiency of achieving proficiency through self-learning.

Main Methods:

• An observational study involving 39 residents who utilized a web-based self-learning system.
• Skill proficiency was assessed post-learning, focusing on needle visualization, hand-eye coordination, and posterior wall penetration avoidance.
• Data collected included skill assessment scores and learning engagement metrics.

Main Results:

• Initially, 28% of residents passed the skill assessment. The remaining 72% failed but achieved proficiency after continued self-learning.
• Significant differences were observed in hand-eye coordination scores and posterior wall penetrations between those who passed and failed the initial test.
• Learning engagement metrics (access frequency, screen views, time) did not differentiate initial success.

Conclusions:

• A web-based system can support self-learning for ultrasound-guided vascular access, but requires formative assessment to ensure proficiency.
• The system shows promise for scalable simulation education in vascular access.
• Continued engagement with the web-based tool is crucial for skill mastery.