Evidence map›Paper›PMID 38638918›Full record

ArticleATS scholar2024

A Flipped Classroom Pilot in Neonatal Mechanical Ventilation.

Stephanie C Mavis, Jane E Brumbaugh, William A Carey, Diana J Kelm

Abstract read
In one paragraph

Article in ATS scholar, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

4 authors.

Stephanie C MavisDivision of Neonatal Medicine, Department of Pediatric and Adolescent Medicine, and.
Jane E BrumbaughDivision of Neonatal Medicine, Department of Pediatric and Adolescent Medicine, and.
William A CareyDivision of Neonatal Medicine, Department of Pediatric and Adolescent Medicine, and.
Diana J KelmDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pediatric residents frequently manage critically ill neonates but have limited systematic training in mechanical ventilation (MV). Competing demands, varying learner levels, and topic complexity contribute to inconsistent education. A blended learning approach may be ideally suited to achieve meaningful learning but has not been described for this topic and learner. Objective: To design, implement, and evaluate a flipped classroom for pediatric residents in neonatal MV. Methods: We used Kern's six-step framework for curricular development to create a flipped classroom curriculum in neonatal MV. Individual prework included interaction with six prerecorded animated whiteboard videos, while in-person learning occurred in small groups at the bedside of a ventilated infant. A mixed-methods evaluation included surveys, quantitative knowledge test scores (before, immediately after, and six months after course completion), and qualitative analysis of participant focus groups. Results: Twenty-six learners participated in the curriculum. Mean knowledge test scores rose and were sustained after course completion (51% baseline, 82% immediate posttest, 90% retention; Conclusion: This curriculum aligned with resident roles, was meaningful to learners, and led to long-term increases in knowledge scores and access to quality education; flipped classroom design using meaningful learning theory and leveraging animated whiteboard technology may be a useful strategy for other highly complex topics in graduate medical education.

Indexed as

blended learninggraduate medical educationmechanical ventilation educationneonatetechnology-enhanced learning

Identifiers

PMID38638918
PMCPMC11025347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.