Evidence map›Paper›PMID 37666277›Full record

ArticleApplied clinical informatics2023

The Intensive Care Unit Bundle Board: A Novel Real-Time Data Visualization Tool to Improve Maintenance Care for Invasive Catheters.

Claire Leilani Davis, Margot Bjoring, Jordyn Hursh, Samuel Smith, Cheri Blevins, Kris Blackstone, Evie Nicholson, Tracey Hoke, Jonathan Michel, Imre Noth and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Applied clinical informatics, 2023. 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
0.6field-weighted citation impact, top 28% of its field
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, 3 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Claire Leilani DavisDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, United States.
Margot BjoringDepartment of Quality and Performance Improvement, University of Virginia Health System, Charlottesville, Virginia, United States.
Jordyn HurshDepartment of Nursing, University of Virginia Health System, Charlottesville, Virginia, United States.
Samuel SmithDepartment of Nursing, University of Virginia Health System, Charlottesville, Virginia, United States.
Cheri BlevinsDepartment of Nursing, University of Virginia Health System, Charlottesville, Virginia, United States.
Kris BlackstoneDepartment of Nursing, University of Virginia Health System, Charlottesville, Virginia, United States.
Evie NicholsonDepartment of Quality and Performance Improvement, University of Virginia Health System, Charlottesville, Virginia, United States.
Tracey HokeDepartment of Quality and Performance Improvement, University of Virginia Health System, Charlottesville, Virginia, United States.
Jonathan MichelDepartment of Quality and Performance Improvement, University of Virginia Health System, Charlottesville, Virginia, United States.
Imre NothDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, United States.
Andrew BarrosDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, United States.
Kyle EnfieldDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Virginia Health System, Charlottesville, Virginia, United States.
University of Virginia Health System · US

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
Institutional Career Development CoreKL2TR003016 · NCATS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON, WORRALL, BRADFORD B · 2019 to 2023
$3.9M
NCATS NIH HHS KL2 TR003016NCATS NIH HHS UL1 TR003015
6 · The paper itself

Abstract

backgroundCritically ill patients are at greater risk of healthcare-associated infections (HAIs). The use of maintenance bundles helps to reduce this risk but also generates a rapid accumulation of complex data that is difficult to aggregate and subsequently act upon.

objectivesWe hypothesized that a digital display summarizing nursing documentation of invasive catheters (including central venous access devices, arterial catheters, and urinary catheters) would improve invasive device maintenance care and documentation. Our secondary objectives were to see if this summary would reduce the duration of problematic conditions, that is, characteristics associated with increased risk of infection.

methodsWe developed and implemented a data visualization tool called the "Bundle Board" to display nursing observations on invasive devices. The intervention was studied in a 28-bed medical intensive care unit (MICU). The Bundle Board was piloted for 6 weeks in June 2022 and followed by a comparison phase, where one MICU had Bundle Board access and another MICU at the same center did not. We retrospectively applied tile color coding logic to prior nursing documentation from 2021 until the pilot phase to facilitate comparison pre- and post-Bundle Board release.

resultsAfter adjusting for time, other quality improvement efforts, and nursing shift, multiple linear regression demonstrated a statistically significant improvement in the completion of catheter care and documentation during the pilot phase (

conclusionWe successfully developed a data visualization tool that changed ICU provider behavior, resulting in increased completion and documentation of maintenance care and reduced duration of problematic conditions for invasive catheters in MICU patients.

Indexed as

Cross InfectionData VisualizationCathetersHumansIntensive Care UnitsRetrospective Studies

Identifiers

PMID37666277
PMCPMC10651369
OpenAlexW4386408466

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.