Evidence map›Paper›PMID 39055331›Full record

ArticleATS scholar2024

Impact of Simulation-based Mastery Learning on Management of Massive Hemoptysis.

Timothy J Rowe, Kaitlyn M Vitale, Elizabeth S Malsin, A Christine Argento, Elaine R Cohen, Sylvonne K Ward, Elia H Martinez, Clara J Schroedl

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. 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

8 authors.

Timothy J RoweDepartment of Medicine and.ORCID https://orcid.org/0000-0003-2186-4513
Kaitlyn M VitaleDepartment of Medicine and.ORCID https://orcid.org/0000-0002-8679-6200
Elizabeth S MalsinDepartment of Medicine, Froedtert Hospital and Medical College of Wisconsin, Milwaukee, Wisconsin; and.
A Christine ArgentoDepartment of Medicine, Johns Hopkins University, Baltimore, Maryland.
Elaine R CohenDepartment of Medicine and.
Sylvonne K WardDepartment of Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Elia H MartinezDepartment of Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Clara J SchroedlDepartment of Medicine and.ORCID https://orcid.org/0000-0003-3280-4997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The management of massive hemoptysis is a high-risk, low-volume procedure that is associated with high mortality rates, and pulmonary and critical care medicine (PCCM) fellows often lack training. Simulation-based mastery learning (SBML) is an educational strategy that improves skill but has not been applied to massive hemoptysis management. Objective: This pilot study aimed to develop a high-fidelity simulator, implement an SBML curriculum, and evaluate the impact on PCCM fellows managing massive hemoptysis. Methods: We modified a simulator to bleed from segmental airways. Next, we developed an SBML curriculum and a validated 26-item checklist and set a minimum passing standard (MPS) to assess massive hemoptysis management. A cohort of traditionally trained providers was assessed using the checklist. First-year PCCM fellows reviewed a lecture before a pretest on the simulator using the skills checklist and underwent rapid-cycle deliberate practice with feedback. Subsequently, fellows were posttested on the simulator, with additional training as necessary until the MPS was met. We compared pretest and posttest performance and also compared SBML-trained fellows versus traditionally trained providers. Results: The MPS on the checklist was set at 88%. All first-year PCCM fellows ( Conclusion: The creation and implementation of a massive hemoptysis simulator and SBML curriculum was feasible and may address gaps in massive hemoptysis management training.

Identifiers

PMID39055331
PMCPMC11270234

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Registered trials

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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.