Evidence map›Paper›PMID 37286622›Full record

ReviewOrthopadie (Heidelberg, Germany)2023

[Simulators and other tools in orthopedic-trauma surgery training].

Yannik P Morscheid, Florian Pouessel

Abstract readEnglish AbstractReview
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Yannik P MorscheidKlinik für Orthopädie und Orthopädische Chirurgie, Universitätsklinikum des Saarlandes, Kirrberger Str. 100, Gebäude 37-38, 66421, Homburg, Deutschland. yannik.morscheid@uks.eu.
Florian PouesselKlinik für Orthopädie und Orthopädische Chirurgie, Universitätsklinikum des Saarlandes, Kirrberger Str. 100, Gebäude 37-38, 66421, Homburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe classic paradigm of "learning on the patient in the operating room" is more and more in conflict with the growing requirements of cost-efficient work and patient safety. With the technology available today for simulator systems, the accessibility of digital tools and the development of a metaverse as a digital meeting place result in various application scenarios and alternatives to classic orthopedic training. SIMULATORS: First VR-desktop simulations in orthopedics and traumatology were developed more than 20 years ago. VR-desktop simulators consist of a computer with a video screen and a joint model. Different instruments can be paired with this system and allow haptic feedback. With innovative software, numerous training programs can be selected, and the user receives precise feedback on their performance. Immersive VR simulators have also played an increasingly important role in recent years. OTHER DIGITAL TOOLS: The use of digital media such as audio and video podcasts as learning and information sources increased in the context of COVID-19. There is also an increasing number of orthopedic and trauma surgery topics on social media platforms. In all fields, however, there is a risk of the spread of misinformation. A quality standard must be maintained. EFFECTIVENESS AND UTILITY OF THE TRAINING: In order to evaluate simulators and their value as a training tool, it is important to comply with various validity criteria. Transfer validity plays an essential role for clinical application. Various studies demonstrate that the skills learned on simulators can also be successfully transferred to real clinical scenarios. DISCUSSION: A lack of availability, costs and high effort are limitations of classic training methods. In contrast, there are versatile use cases of VR-based simulations that are individually adapted to the trainees and cannot endanger patients. The still high acquisition costs, technical obstacles and the not yet widespread availability are limiting factors. The metaverse still offers unimaginable possibilities today to transfer VR-based applications to experimental learning methods.

Indexed as

COVID-19OrthopedicsClinical CompetenceHumansInternetUser-Computer InterfaceInteractive learningPodcastsSimulation trainingSocial mediaVirtual reality

Identifiers

PMID37286622
PMCPMC10246544

What OpenQuestion holds

Textmetadata
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.