ClinicalTrials.gov
public full text
Public Domain
Comparing Mixed Reality, Video-Based, and Instructor-Led Training for Nasogastric Tube Insertion in Nursing Students
This study explores how nursing students learn to insert a nasogastric tube (NGT), a common but potentially risky clinical procedure. The goal is to compare three different teaching methods: Mixed Reality (MR) glasses with virtual instructions Video-based learning Traditional instructor-led training The study investigates which method leads to better learning outcomes, how usable the technologies are, and how students experience MR in their learning. Participants will be first-year nursing students with no prior experience in NGT insertion. They will be randomly assigned to one of the three training methods, complete the procedure, and answer questionnaires about their performance and experience. Six months later, they will repeat the procedure to assess long-term learning.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Systematic Review Evaluating the Use of Mixed Reality Technologies Within Undergraduate Medical Anatomical Teaching.#334954
- Virtual Reality Situation-Based Flipped Learning#888080
- Evidence for Clinical Skills Training Using Virtual Reality in Nursing and Midwifery Education: Protocol for an Umbrella Review.#1098085
- Standardized Educational Videos of Laparoscopic Gynecological Surgeries#914325
- Virtual Reality in Ophthalmic Surgical Education: Current Innovations and Future Perspectives.#244392
Record · ID 844664
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive