Evidence map›Paper›PMID 39323596›Full record

ArticleJournal of the Intensive Care Society2024

Creating a smart classroom in intensive care using assisted reality technology.

Charlotte Willis, Jessica Dawe, Christopher Leng

Abstract read
In one paragraph

Article in Journal of the Intensive Care Society, 2024. 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. Review
  2. Article
  3. Article
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

3 authors.

Charlotte WillisNorthampton General Hospital, Northampton, UK.ORCID https://orcid.org/0000-0003-3525-5006
Jessica DaweNorthampton General Hospital, Northampton, UK.
Christopher LengNorthampton General Hospital, Northampton, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical students receive relatively little exposure to intensive care medicine throughout their undergraduate training. The COVID-19 pandemic further hindered students' exposure with the entrance to intensive care units (ICU) limited. To address the problem, this study explored the use of assisted reality technology to create a smart classroom in intensive care. Methods: Six intensive care teaching sessions were live streamed to groups of medical students ( Results: The response rate for the ETELM-learner and ETELM-educator perceptions was 100%. Students strongly agreed that the session was well organised, relevant and that the navigation of technology-based components was logical and efficient. Students strongly disagreed that their learning was negatively affected by technology issues. Educators reported some difficulties with balancing teaching delivery alongside the clinical demands of the ICU and some minor technological issues. Discussion: There is potential for smart classrooms to revolutionise intensive care education. The use of smart classrooms on intensive care using assisted reality technology was well received by students and educators. The main limitations included the cost of the technology and risk of technology issues. There is a significant role for smart classrooms to continue in the post-pandemic period as they provide an open and safe platform for students to explore intensive care medicine and ask questions that they may feel less able to raise in the busy clinical environment.

Indexed as

assisted reality technologySmart classroom

Identifiers

PMID39323596
PMCPMC11421280

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.