Integration of Game-Based Chatbot With Kahoot! for High-Alert Medication Education for Newly Graduated Nurses: A...

Area of Science:

• Nursing Education
• Patient Safety
• Health Informatics

Background:

• Unsafe medication administration is a major global health risk.
• Limited nurse knowledge of high-alert medications (HAMs) increases error potential.
• Game-based chatbots and Kahoot! may improve HAM learning.

Purpose of the Study:

• To evaluate the effectiveness of a game-based chatbot integrated with Kahoot! for enhancing nurse knowledge and self-competence in high-alert medications.
• To compare learning outcomes between newly graduated nurses receiving a game-based chatbot plus Kahoot! intervention and those receiving Kahoot! alone.

Main Methods:

• A two-group, repeated-measures randomized controlled trial involving 77 newly graduated nurses.
• Participants were randomized to either a game-based chatbot + Kahoot! group or a Kahoot! only group.
• High-alert medication knowledge (HAMK) and self-competence (HAMSC) were assessed at baseline, post-intervention, and 1-month follow-up.

Main Results:

• No significant group-by-time interaction was found for HAMK or HAMSC.
• However, difference-in-differences analysis showed superior knowledge retention in the experimental group from post-intervention to follow-up (p < .05).
• Both groups demonstrated improvements in HAM knowledge and competence.

Conclusions:

• Traditional teaching methods, like Kahoot!, are valuable for improving medication safety knowledge.
• A game-based chatbot shows promise for enhancing long-term retention of high-alert medication knowledge among nurses.
• Further optimization of chatbot design is recommended to maximize learning outcomes and user engagement.