Evidence map›Paper›PMID 41476936›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2025

Embracing 3D printing in emergency medicine training in Africa.

Marvin Jansen, Fahmi Adams

Abstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Marvin JansenClinical Skills Centre, Department of Health Sciences Education, University of Cape Town, South Africa.
Fahmi AdamsClinical Skills Centre, Department of Health Sciences Education, University of Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Africa's emergency medicine training faces challenges of limited resources, inadequate simulation tools, and few locally relevant training models. This article explores how three-dimensional (3D) printing can help address these gaps by enabling the creation of affordable, customizable models for procedural skills and simulation-based education. We discuss the context of emergency medicine training in Africa, where limited access to high-fidelity manikins and other teaching aids hampers skills acquisition. The model printing format may be of limited applicability in the context of dynamic simulations, where the model is required to interact and perform a function, versus static simulation, with the emphasis on identification and directed procedures. We highlight illustrative use cases, including a 3D-printed airway management manikin and a basic suturing practice pad, to demonstrate the technology's potential for hands-on learning. Key benefits of integrating 3D printing into training programs are examined, such as improved access to simulation, better local adaptability, and increased opportunity for producing affordable task trainers that are suited for hands-on emergency procedures. We also acknowledge challenges, from startup costs and infrastructure needs to the learning curve of 3D printers and suggest practical steps for implementation. This commentary encourages educators and institutions in Africa to explore 3D printing for education, and we envision it becoming integral to emergency medicine training across the continent; fostering skill development, self-sufficiency, and ultimately improving patient care.

Indexed as

3d printingEmergency medicine trainingMedical simulation

Identifiers

PMID41476936
PMCPMC12750081

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.