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3D-printed organ models improve nursing interns' physiology knowledge scores in RCT

3D-printed organ models improve nursing interns' physiology knowledge scores in RCT
Photo by Robina Weermeijer / Unsplash
Key Takeaway
Consider 3D-printed organ models as a potential teaching tool to improve physiology knowledge in nursing interns.

This was a randomized controlled trial with 120 undergraduate nursing interns. Participants were assigned to an observation group receiving 3DIPT-assisted teaching using 3D-printed models of key nursing-relevant organs (ovary, uterus, stomach, prostate, and kidney) or a control group receiving traditional teaching with 2D materials and static specimens. The intervention period was 6 months.

The primary outcome was physiology-related knowledge scores from a nurse licensing examination simulation. The observation group scored 77.30 ± 9.65, while the control group scored 67.36 ± 9.55, with the difference being statistically significant (p < 0.05). Secondary outcomes included Social Medical Curiosity, self-directed learning ability, mobile learning willingness, and Medical Students’ Transformative Learning Readiness, but specific results for these were not reported.

Safety and tolerability data, including adverse events, serious adverse events, and discontinuations, were not reported. A key limitation is that the paper partially presents the models for the ovary, uterus, stomach, prostate, and kidney for clinical education and connected learning.

The practice relevance is not specified. Given the observational nature of the findings within an RCT, causality cannot be definitively established, and the results are specific to this population and teaching context.

Study Details

Study typeRct
EvidenceLevel 2
PublishedApr 2026
View Original Abstract ↓
BackgroundTraditional physiology teaching relies on 2D materials and static specimens, making it difficult to intuitively present complex anatomical structures and physiological mechanisms. 3D Intelligent Printing Technology (3DIPT) has demonstrated application value in surgical training, but its use in physiology education remains underexplored.MethodsA randomized controlled trial (RCT) was conducted, enrolling 120 undergraduate nursing interns who were randomly divided into a control group (traditional teaching) and an observation group (3DIPT-assisted teaching) with a 6-month intervention period. The observation group used 3D-printed models of key nursing-relevant organs; this paper partially presents those of the ovary, uterus, stomach, prostate, and kidney for clinical education and connected learning. Outcome measures included scores on physiology-related knowledge (nurse licensing examination simulation), Social Medical Curiosity (SMC), self-directed learning ability, mobile learning willingness, and Medical Students’ Transformative Learning Readiness (MSTLR).ResultsAfter the intervention, the observation group showed significantly higher scores than the control group in physiology knowledge (77.30 ± 9.65 vs. 67.36 ± 9.55, p 
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