Evidence map›Paper›PMID 32205304›Full record

ArticleJMIR medical education2020

Comparing Classroom Instruction to Individual Instruction as an Approach to Teach Avatar-Based Patient Monitoring With Visual Patient: Simulation Study.

Julian Rössler, Alexander Kaserer, Benjamin Albiez, Julia Braun, Jan Breckwoldt, Donat Rudolf Spahn, Christoph Nöthiger, David Werner Tscholl

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Article in JMIR medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Julian RösslerUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7601-6493
Alexander KasererUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-9105-8328
Benjamin AlbiezUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2695-5713
Julia BraunBiostatistics and Prevention Institute, Departments of Epidemiology and Biostatistics, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8359-6177
Jan BreckwoldtUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-1716-1970
Donat Rudolf SpahnUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-4782-183X
Christoph NöthigerUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-0336-1421
David Werner TschollUniversity Hospital Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-3677-3705

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisual Patient is an avatar-based alternative to standard patient monitor displays that significantly improves the perception of vital signs. Implementation of this technology in larger organizations would require it to be teachable by brief class instruction to large groups of professionals. Therefore, our study aimed to investigate the efficacy of such a large-scale introduction to Visual Patient.

objectiveIn this study, we aimed to compare 2 different educational methods, one-on-one instruction and class instruction, for training anesthesia providers in avatar-based patient monitoring.

methodsWe presented 42 anesthesia providers with 30 minutes of class instruction on Visual Patient (class instruction group). We further selected a historical sample of 16 participants from a previous study who each received individual instruction (individual instruction group). After the instruction, the participants were shown monitors with either conventional displays or Visual Patient displays and were asked to interpret vital signs. In the class instruction group, the participants were shown scenarios for either 3 or 10 seconds, and the numbers of correct perceptions with each technology were compared. Then, the teaching efficacy of the class instruction was compared with that of the individual instruction in the historical sample by 2-way mixed analysis of variance and mixed regression.

resultsIn the class instruction group, when participants were presented with the 3-second scenario, there was a statistically significant median increase in the number of perceived vital signs when the participants were shown the Visual Patient compared to when they were shown the conventional display (3 vital signs, P<.001; effect size -0.55). No significant difference was found for the 10-second scenarios. There was a statistically significant interaction between the teaching intervention and display technology in the number of perceived vital signs (P=.04; partial η

conclusionsAlthough individual instruction on Visual Patient is slightly more effective, class instruction is a viable teaching method; thus, large-scale introduction of health care providers to this novel technology is feasible.

Indexed as

avatarcomputer-assisteddiagnosis

Identifiers

PMID32205304
PMCPMC7206517

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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.