Evidence map›Paper›PMID 39763212›Full record

ArticleNursing in critical care2025

Development and evaluation of a simulation-based early-mobility curriculum for paediatric intensive care nurses.

Jessica M LaRosa, Hallie Lenker, Razvan Azamfirei, Stephanie Morgenstern, Krista Hajnik, Colleen Mennie, Beth Wieczorek, Kristen M Brown, Nicole Shilkofski, Sapna R Kudchadkar

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Article in Nursing in critical care, 2025. 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.

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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

10 authors.

Jessica M LaRosaDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-3921-0016
Hallie LenkerDepartment of Physical Medicine & Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Razvan AzamfireiDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Stephanie MorgensternDepartment of Pediatric Nursing, Charlotte R. Bloomberg Children's Center, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Krista HajnikCharlotte R. Bloomberg Children's Center, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Colleen MennieDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Beth WieczorekDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Kristen M BrownSchool of Nursing, Johns Hopkins University, Baltimore, Maryland, USA.
Nicole ShilkofskiDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sapna R KudchadkarDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Institute for Clinical and Translational Research (KL2)KL2RR025006 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$12.9M
Johns Hopkins Children's CenterNCATS NIH HHSNCRR NIH HHS KL2 RR025006
6 · The paper itself

Abstract

backgroundEarly mobility is one strategy to reduce the harm from immobility that children experience in the paediatric intensive care unit (PICU). Early-mobility programmes rely on nurses, who currently perceive insufficient training as a barrier to mobilizing critically ill children. Nurses have identified simulation as a strategy to improve implementation of early-mobility protocols.

aimTo use adult learning theory to develop an early-mobility simulation curriculum for nurses and to evaluate if the curriculum improves nursing self-efficacy, knowledge and skills in mobilizing critically ill children. STUDY

designUsing a curriculum development framework, an interprofessional team created a simulation curriculum. The educational strategies included group simulations, debriefing sessions and didactic sessions. The curriculum evaluation was conducted as quality improvement initiative using a pre-post quasi-experimental design to evaluate nurses' mobility self-efficacy, knowledge and clinical skills.

resultsEleven PICU nurses participated in the simulation-based early mobility curriculum. Before participation in the curriculum, 73% of nurses felt fairly confident and no nurses felt confident mobilizing a PICU patient. After participation, 100% of nurses felt at least fairly confident mobilizing a PICU patient (p = .031). Knowledge scores improved from a median of 14 (IQR, 12-16) questions correct to 17 (IQR, 16-18) questions correct (p = .001). Nurses completed more required clinical tasks during the Observed Structured Clinical Examination, with improvement from a median of 15 items correct (IQR, 14-16) to 19 items correct (IQR, 15-20; p = .0037).

conclusionsDeveloping a simulation-based early-mobility curriculum for PICU nurses is feasible. Nurses who completed the curriculum had improved self-efficacy, knowledge and clinical skills in mobilizing critically ill children. RELEVANCE TO CLINICAL PRACTICE: The findings of this study demonstrate that simulation is a potentially useful educational tool to teach nurses to safely and effectively mobilize critically ill children. The strategy should be evaluated further to determine if it impacts physical rehabilitation at the bedside.

Indexed as

Critical Care NursingCurriculumEarly AmbulationPediatric NursingSimulation TrainingAdultChildClinical CompetenceCritical IllnessFemaleHumansIntensive Care Units, PediatricMaleSelf Efficacyintensive care unitpaediatricrehabilitationsimulation training

Identifiers

PMID39763212
PMCPMC12221824

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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.