A Microlearning-Based Self-directed Learning Chatbot on Medication Administration for New Nurses: A Feasibility...

Area of Science:

• Nursing Education
• Digital Health
• Patient Safety

Background:

• Accurate medication administration knowledge is crucial for patient safety among new nurses.
• Novice nurses require effective learning tools to master medication administration.
• Traditional training methods may not fully meet the needs of self-directed learning for new nurses.

Purpose of the Study:

• To develop a microlearning-based, self-directed learning chatbot for medication administration.
• To evaluate the feasibility and effectiveness of this chatbot for novice nurses.
• To assess the impact on nurses' confidence, motivation, satisfaction, and usability.

Main Methods:

• A chatbot was developed covering medication administration processes and drug management.
• Fifty-eight newly hired nurses used the chatbot for two weeks.
• Feasibility was assessed via a survey on confidence, motivation, satisfaction, and usability.

Main Results:

• Confidence in medication administration knowledge significantly improved across most topics (P < .001).
• Intrinsic learning motivation, satisfaction, and usability scores were high (above 5/7), with highest scores for ease of learning (6.69/7).
• One topic, "Understanding a concept of 5Right," showed no significant improvement (P = .077).

Conclusions:

• Microlearning-based chatbots are effective tools for enhancing medication administration knowledge in novice nurses.
• The developed chatbot demonstrated feasibility and positive user experience, supporting self-directed learning.
• This technology offers a promising avenue for improving nursing education and patient safety.