Evidence map›Paper›PMID 32885190›Full record

ArticleImplementation science communications2020

Development, implementation, and evaluation of a novel guideline engine for pediatric patients with severe traumatic brain injury: a study protocol.

Meagan R Pilar, Enola K Proctor, Jose A Pineda

Abstract read
In one paragraph

Article in Implementation science communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Meagan R PilarWashington University in St. Louis, Brown School, One Brookings Drive, Campus Box 1196, St. Louis, MO 63130 USA.ORCID 0000-0003-2671-3327
Enola K ProctorWashington University in St. Louis, Brown School, One Brookings Drive, Campus Box 1196, St. Louis, MO 63130 USA.
Jose A PinedaChildren's Hospital Los Angeles/University of Southern California, Keck School of Medicine, 4650 Sunset Blvd, Los Angeles, CA 90027 USA.

Funding

DEVELOPMENT AND EVALUATION OF A BEDSIDE GUIDELINE ENGINE FOR SEVERE TRAUMATIC BRAIN INJURYR21HD086784 · NICHD · WASHINGTON UNIVERSITY · PI PINEDA SOTO, JOSE ALFREDO · 2017 to 2018
$419k
NICHD NIH HHS R21 HD086784
6 · The paper itself

Abstract

backgroundSevere traumatic brain injury (TBI) is a leading cause of death and disability for children. The Brain Trauma Foundation released evidence-based guidelines, a series of recommendations regarding care for pediatric patients with severe TBI. Clinical evidence suggests that adoption of guideline-based care improves outcomes in patients with severe TBI. However, guideline implementation has not been systematic or consistent in clinical practice. There is also a lack of information about implementation strategies that are effective given the nature of severe TBI care and the complex environment in the intensive care unit (ICU). Novel technology-based strategies may be uniquely suited to the fast-paced, transdisciplinary care delivered in the ICU, but such strategies must be carefully developed and evaluated to prevent unintended consequences within the system of care. This challenge presents a unique opportunity for intervention to more appropriately implement guideline-based care for pediatric patients with severe TBI.

methodsThis mixed-method study will develop a novel technology-based bedside guideline engine (the implementation strategy) to facilitate uptake of evidence-based guidelines (the intervention) for management of severe TBI. Group model building and systems dynamics will inform the guideline engine design, and bedside functionality will be initially assessed through patient simulation. Using the Promoting Action on Research Implementation in Health Services (PARIHS) framework, we will determine the feasibility of incorporating the guideline engine in the ICU. Study participants will include pediatric patients with severe TBI and providers at three trauma centers. Quantitative data will include measures of guideline engine acceptance and organizational readiness for change. Qualitative data will include semi-structured interviews from clinicians. We will test the feasibility of incorporating the guideline engine in "real life practice" in preparation for a future clinical trial that will assess clinical and implementation outcomes, including feasibility, acceptability, and adoption of the guideline engine. DISCUSSION: This study will lead to the development and feasibility testing of an adaptable strategy for implementing guideline-based care for severe TBI, a strategy that meets the needs of individual critical care environments and patients. A future study will test the adaptability and impact of the bedside guideline engine in a randomized clinical trial.

Indexed as

ChildrenHead traumaImplementation strategiesPediatricsTraumatic brain injury

Identifiers

PMID32885190
PMCPMC7427929

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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.