Evidence map›Paper›PMID 35962441›Full record

ArticleImplementation science communications2022

Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study.

Anna M Maw, Megan A Morris, Russell E Glasgow, Juliana Barnard, P Michael Ho, Carolina Ortiz-Lopez, Michelle Fleshner, Henry R Kramer, Eric Grimm, Kate Ytell and 2 more

Open access · goldAbstract read
In one paragraph

Article in Implementation science communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 23 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 3 institutions in 1 country.

Anna M MawDivision of Hospital Medicine, University of Colorado School of Medicine, Aurora, USA. anna.maw@cuanschutz.edu.ORCID http://orcid.org/0000-0002-2829-7331
Megan A MorrisAdult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Russell E GlasgowAdult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Juliana BarnardAdult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine, Aurora, CO, 80045, USA.
P Michael HoDivision of Cardiology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Carolina Ortiz-LopezDivision of Hospital Medicine, University of Colorado School of Medicine, Aurora, USA.
Michelle FleshnerDivision of Hospital Medicine, University of Colorado School of Medicine, Aurora, USA.
Henry R KramerDivision of Hospital Medicine, University of Colorado School of Medicine, Aurora, USA.
Eric GrimmDivision of Hospital Medicine, University of Colorado School of Medicine, Aurora, USA.
Kate YtellAdult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Tiffany GardnerInternal Medicine Residency Program, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
Amy G HuebschmannDivision of General Internal Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
University of Colorado Hospital · USOutcomes Research Consortium · USUniversity of Colorado Denver · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
IMPlementation to Achieve Clinical Transformation (IMPACT): The Colorado Training ProgramK12HL137862 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI GLASGOW, RUSSELL E, HAVRANEK, EDWARD PAUL · 2017 to 2021
$2.9M
NCATS NIH HHS UL1 TR002535NHLBI NIH HHS K12 HL137862NIH HHS UL1 TR002535
6 · The paper itself

Abstract

backgroundLung ultrasound (LUS) is a clinician-performed evidence-based imaging modality that has multiple advantages in the evaluation of dyspnea caused by multiple disease processes, including COVID-19. Despite these advantages, few hospitalists have been trained to perform LUS. The aim of this study was to increase adoption and implementation of LUS during the 2020 COVID-19 pandemic by using recurrent assessments of RE-AIM outcomes to iteratively revise our implementation strategies.

methodsIn an academic hospital, we implemented guidelines for the use of LUS in patients with COVID-19 in July 2020. Using a novel "RE-AIM dashboard," we used an iterative process of evaluating the high-priority outcomes of Reach, Adoption, and Implementation at twice monthly intervals to inform revisions of our implementation strategies for LUS delivery (i.e., Iterative RE-AIM process). Using a convergent mixed methods design, we integrated quantitative RE-AIM outcomes with qualitative hospitalist interview data to understand the dynamic determinants of LUS Reach, Adoption, and Implementation.

resultsOver the 1-year study period, 453 LUSs were performed in 298 of 12,567 eligible inpatients with COVID-19 (Reach = 2%). These 453 LUS were ordered by 43 out of 86 eligible hospitalists (LUS order adoption = 50%). However, the LUSs were performed/supervised by only 8 of these 86 hospitalists, 4 of whom were required to complete LUS credentialing as members of the hospitalist procedure service (proceduralist adoption 75% vs 1.2% non-procedural hospitalists adoption). Qualitative and quantitative data obtained to evaluate this Iterative RE-AIM process led to the deployment of six sequential implementation strategies and 3 key findings including (1) there were COVID-19-specific barriers to LUS adoption, (2) hospitalists were more willing to learn to make clinical decisions using LUS images than obtain the images themselves, and (3) mandating the credentialing of a strategically selected sub-group may be a successful strategy for improving Reach.

conclusionsMandating use of a strategically selected subset of clinicians may be an effective strategy for improving Reach of LUS. Additionally, use of Iterative RE-AIM allowed for timely adjustments to implementation strategies, facilitating higher levels of LUS Adoption and Reach. Future studies should explore the replicability of these preliminary findings.

Indexed as

COVID-19Implementation scienceLung ultrasoundRE-AIM

Identifiers

PMID35962441
PMCPMC9372925
OpenAlexW4291284418

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.