Evidence map›Paper›PMID 34550900›Full record

ArticleJMIR medical informatics2021

Implementation of an Anticoagulation Practice Guideline for COVID-19 via a Clinical Decision Support System in a Large Academic Health System and Its Evaluation: Observational Study.

Surbhi Shah, Sean Switzer, Nathan D Shippee, Pamela Wogensen, Kathryn Kosednar, Emma Jones, Deborah L Pestka, Sameer Badlani, Mary Butler, Brittin Wagner and 7 more

Abstract read
In one paragraph

Article in JMIR medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. Selection and Implementation of Virtual Scribe Solutions to Reduce Documentation Burden: A Mixed Methods Pilot.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article
  7. Observational
  8. Review
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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

17 authors.

Surbhi ShahUniversity of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0003-0978-5687
Sean SwitzerUniversity of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-7018-5261
Nathan D ShippeeUniversity of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-9885-3663
Pamela WogensenInformation Technology, Fairview Health Services, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-0097-7159
Kathryn KosednarInformation Technology, Fairview Health Services, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-7613-0256
Emma JonesDepartment of Surgery, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0003-4083-0220
Deborah L PestkaCollege of Pharmacy, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-5096-1991
Sameer BadlaniInformation Technology, Fairview Health Services, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-8038-7310
Mary ButlerSchool of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-7877-2620
Brittin WagnerSchool of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-3518-4546
Katie WhiteSchool of Public Health, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-7662-3867
Joshua RheinDepartment of Medicine, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-0480-9646
Bradley BensonDepartment of Medicine, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-6923-6869
Mark RedingDepartment of Medicine, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0003-3319-2806
Michael UsherDepartment of Medicine, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0002-0205-987X
Genevieve B MeltonDepartment of Surgery, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0001-5193-1663
Christopher James TignanelliDepartment of Surgery, University of Minnesota, Minneapolis, MN, United States.ORCID https://orcid.org/0000-0003-3134-0924

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR000114 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R · 2012 to 2015
$35.0M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Institutional Career Development CoreKL2TR002492 · NCATS · UNIVERSITY OF MINNESOTA · PI INGBAR, DAVID H · 2018 to 2022
$6.3M
Minnesota Learning Health System Mentored Career Development Program (MN-LHS)K12HS026379 · AHRQ · UNIVERSITY OF MINNESOTA · PI BEEBE, TIMOTHY, LINZER, MARK · 2018 to 2022
$2.9M
Health Information Exchange Utilization and Inter-hospital Transfer OutcomesR01HS026732 · AHRQ · UNIVERSITY OF MINNESOTA · PI USHER, MICHAEL G. · 2019 to 2022
$1.3M
AHRQ HHS K12 HS026379AHRQ HHS R01 HS026732NCATS NIH HHS KL2 TR002492NCATS NIH HHS UL1 TR000114NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

backgroundStudies evaluating strategies for the rapid development, implementation, and evaluation of clinical decision support (CDS) systems supporting guidelines for diseases with a poor knowledge base, such as COVID-19, are limited.

objectiveWe developed an anticoagulation clinical practice guideline (CPG) for COVID-19, which was delivered and scaled via CDS across a 12-hospital Midwest health care system. This study represents a preplanned 6-month postimplementation evaluation guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework.

methodsThe implementation outcomes evaluated were reach, adoption, implementation, and maintenance. To evaluate effectiveness, the association of CPG adherence on hospital admission with clinical outcomes was assessed via multivariable logistic regression and nearest neighbor propensity score matching. A time-to-event analysis was conducted. Sensitivity analyses were also conducted to evaluate the competing risk of death prior to intensive care unit (ICU) admission. The models were risk adjusted to account for age, gender, race/ethnicity, non-English speaking status, area deprivation index, month of admission, remdesivir treatment, tocilizumab treatment, steroid treatment, BMI, Elixhauser comorbidity index, oxygen saturation/fraction of inspired oxygen ratio, systolic blood pressure, respiratory rate, treating hospital, and source of admission. A preplanned subgroup analysis was also conducted in patients who had laboratory values (D-dimer, C-reactive protein, creatinine, and absolute neutrophil to absolute lymphocyte ratio) present. The primary effectiveness endpoint was the need for ICU admission within 48 hours of hospital admission.

resultsA total of 2503 patients were included in this study. CDS reach approached 95% during implementation. Adherence achieved a peak of 72% during implementation. Variation was noted in adoption across sites and nursing units. Adoption was the highest at hospitals that were specifically transformed to only provide care to patients with COVID-19 (COVID-19 cohorted hospitals; 74%-82%) and the lowest in academic settings (47%-55%). CPG delivery via the CDS system was associated with improved adherence (odds ratio [OR] 1.43, 95% CI 1.2-1.7; P<.001). Adherence with the anticoagulation CPG was associated with a significant reduction in the need for ICU admission within 48 hours (OR 0.39, 95% CI 0.30-0.51; P<.001) on multivariable logistic regression analysis. Similar findings were noted following 1:1 propensity score matching for patients who received adherent versus nonadherent care (21.5% vs 34.3% incidence of ICU admission within 48 hours; log-rank test P<.001).

conclusionsOur institutional experience demonstrated that adherence with the institutional CPG delivered via the CDS system resulted in improved clinical outcomes for patients with COVID-19. CDS systems are an effective means to rapidly scale a CPG across a heterogeneous health care system. Further research is needed to investigate factors associated with adherence at low and high adopting sites and nursing units.

Indexed as

anticoagulationclinical decision supportclinical practice guidelineCOVID-19evidence-based practiceimplementation scienceRE-AIM

Identifiers

PMID34550900
PMCPMC8604256

What OpenQuestion holds

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LicenceCC BY
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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.