Evidence map›Paper›PMID 42037854›Full record

ArticleCureus2026

Effectiveness of Iterative Practice in Pediatric Simulation at a Community Hospital.

Azadeh Fayazi, Siobhan Hopkins

Abstract read
In one paragraph

Article in Cureus, 2026. 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

2 authors.

Azadeh FayaziPediatric Critical Care Medicine, Stanford University, Palo Alto, USA.
Siobhan HopkinsPediatric Hospitalist Medicine, Stanford University, Palo Alto, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective The goal of this study was to improve knowledge and teamwork within a limited simulation period. We hypothesized that implementing iterative practice will increase pediatric resuscitation knowledge and specific team behaviors by 10%. Methodology We implemented an in situ, multidisciplinary, high-fidelity simulation curriculum, in which the scenario was repeated. This study tracked improvements through three multiple-choice questionnaires. Data collected over two years were analyzed using McNemar's test to compare paired binary variables and the Wilcoxon signed-rank test to compare paired ordinal variables. Results A total of 99 questionnaires were completed. Knowledge of indications for cardiopulmonary resuscitation in children improved by 12% (n = 12, p = 0.008); chest compression-to-ventilation ratio in adolescents increased by 16% (n = 16, p = 0.005); chest compression-to-ventilation ratio in children improved by 11% (n = 11, p = 0.03); and ventilation rate with an advanced airway increased after both simulations by 22% (n = 22, p < 0.001) and then by 13% (n = 13, p = 0.004). Statistically significant improvements were not observed for choosing the correct shockable rhythms. All team behaviors improved: information was "always" received by 81% (n = 80) of participants and increased to 94% (n = 93, p < 0.001); self-identification improved from 66% (n = 65) of participants to 87% (n = 86, p < 0.001); and leader identification was noted by 73% (n = 72) of non-leader participants and increased to 88% (n = 87, p < 0.001). Conclusion Iterative simulation practice effectively enhances proximal knowledge and pediatric resuscitation team performance in community hospitals. Future research should explore the simulation frequency needed to retain this knowledge and these skills.

Indexed as

community hospitalspediatric cprresuscitation and simulation research in pediatricssimulation in medical educationteam dynamics

Identifiers

PMID42037854
PMCPMC13108618

What OpenQuestion holds

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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.