Emergency Information Forms for Children With Medical Complexity: A Simulation Study Article Swipe
George Abraham
,
James J. Fehr
,
Fahd A. Ahmad
,
Donna B. Jeffe
,
Tara Conway Copper
,
Feliciano Yu
,
Andrew J. White
,
Marc Auerbach
,
David Schnadower
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1542/peds.2016-0847
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1542/peds.2016-0847
BACKGROUND: Emergency information forms (EIFs) have been proposed to provide critical information for optimal care of children with medical complexity (CMC) during emergencies; however, their impact has not been studied. The objective of this study was to measure the impact and utility of EIFs in simulated scenarios of CMC during medical emergencies. METHODS: Twenty-four providers (12 junior, 12 experienced) performed 4 simulations of CMC, where access to an EIF was block randomized by group. Scenario-specific critical action checklists and consequential pathways were developed by content experts in simulation and pediatric subspecialists. Scenarios ended when all critical actions were completed or after 10 minutes, whichever came first. Two reviewers independently evaluated the video-recorded performances and calculated scenario-specific critical action scores. Performance in scenarios with and without an EIF was compared with Pearson’s χ2 and Mann–Whitney U tests. Interrater reliability was assessed with intraclass correlation. Each provider rated the utility of EIFs via exit questionnaires. RESULTS: The median critical action score in scenarios with EIFs was 84.2% (95% confidence interval [CI], 71.7%–94.1%) versus 12.5% (95% CI, 10.5%–35.3%) in scenarios without an EIF (P < .001); time to completion of scenarios was shorter (6.9 minutes [interquartile range 5.8–10 minutes] vs 10 minutes), and complication rates were lower (30% [95% CI, 17.4%–46.3%] vs 100% [95% CI, 92.2%–100%]) with EIFs, independent of provider experience. Interrater reliability was excellent (intraclass correlation = 0.979). All providers strongly agreed that EIFs can improve clinical outcomes for CMC. CONCLUSIONS: Using simulated scenarios of CMC, providers’ performance was superior with an EIF. Clinicians evaluated the utility of EIFs very highly.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1542/peds.2016-0847
- https://pediatrics.aappublications.org/content/pediatrics/138/2/e20160847.full.pdf
- OA Status
- bronze
- Cited By
- 27
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2496083483
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2496083483Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1542/peds.2016-0847Digital Object Identifier
- Title
-
Emergency Information Forms for Children With Medical Complexity: A Simulation StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-07-19Full publication date if available
- Authors
-
George Abraham, James J. Fehr, Fahd A. Ahmad, Donna B. Jeffe, Tara Conway Copper, Feliciano Yu, Andrew J. White, Marc Auerbach, David SchnadowerList of authors in order
- Landing page
-
https://doi.org/10.1542/peds.2016-0847Publisher landing page
- PDF URL
-
https://pediatrics.aappublications.org/content/pediatrics/138/2/e20160847.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://pediatrics.aappublications.org/content/pediatrics/138/2/e20160847.full.pdfDirect OA link when available
- Concepts
-
Medicine, Intraclass correlation, Inter-rater reliability, Interquartile range, Confidence interval, Emergency department, Reliability (semiconductor), Surgery, Statistics, Internal medicine, Nursing, Rating scale, Psychometrics, Clinical psychology, Quantum mechanics, Mathematics, Power (physics), PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
27Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 8, 2023: 4, 2022: 1, 2021: 2, 2020: 4Per-year citation counts (last 5 years)
- References (count)
-
36Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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