ArticlePediatric quality & safety
Building an Adaptable Pediatric Intensive Care Unit Simulation Portfolio: Advancing Efficiency, Flexibility, and Team-based Training.
Article in Pediatric quality & safety. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Simulation-based education enhances patient safety and team performance in high-acuity environments, such as the pediatric intensive care unit (PICU). However, many units struggle to implement scalable, dynamic simulation programs adaptable to fluctuations in patient volume, clinical acuity, and staffing demands. This quality improvement initiative aimed to develop and implement a comprehensive PICU simulation portfolio, integrating predictive analytics, multidisciplinary collaboration, and real-time clinical data to increase the frequency of simulations and training exposures. Methods: The PICU simulation portfolio underwent iterative improvement via a structured quality improvement initiative. Guided by a specific, measurable, achievable, relevant, and time-bound aim and key driver diagram, targeted interventions were implemented through iterative plan-do-study-act cycles. These interventions included introducing standardized simulation encounter types, a simulation encounter decision tree informed by real-time predictive analytics, incorporating a multidisciplinary team, centralizing simulation resources, and streamlining the setup process. Primary outcomes included simulation frequency and cancelations. Secondary outcomes included participation, facilitator workload, and safety event monitoring. Results: Over the intervention period (July 2022 through June 2024), the simulation program demonstrated increased training capacity, improved efficiency, and heightened participation. Annual simulations increased by 128%, incorporating 1,256 staff, whereas cancelations decreased by 25%. Simulation setup and takedown time were reduced by 58% and 64%, respectively. There were no reported safety events. Conclusions: This scalable PICU simulation training model led to measurable gains in efficiency, training capacity, and multidisciplinary collaboration. Its adaptable framework offers a promising approach for other clinical settings aiming to enhance simulation-based education and training to improve patient care outcomes.
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Registered trials
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.