Evidence map›Paper›PMID 38938337›Full record

ArticleJACC. Advances2023

Universal EHRs Clinical Decision Support for Thromboprophylaxis in Medical Inpatients: A Cluster Randomized Trial.

Alex C Spyropoulos, Mark Goldin, Ioannis Koulas, Jeffrey Solomon, Michael Qiu, Sam Ngu, Kolton Smith, Tungming Leung, Kanta Ochani, Fatima Malik and 4 more

Abstract read
In one paragraph

Article in JACC. Advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

14 authors.

Alex C SpyropoulosInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Mark GoldinInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Ioannis KoulasInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Jeffrey SolomonInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Michael QiuInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Sam NguDepartment of Hematology/Oncology, Lenox Hill Hospital at Northwell Health, New York, New York, USA.
Kolton SmithDepartment of Internal Medicine, Lenox Hill Hospital at Northwell Health, New York, New York, USA.
Tungming LeungBiostatistics Unit, Office of Academic Affairs, Northwell Health, Hempstead, New York, USA.
Kanta OchaniInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Fatima MalikInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Stuart L CohenInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Dimitrios GiannisInstitute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.
Sundas KhanDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.
Thomas McGinnDepartment of Medicine, Baylor College of Medicine, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thromboprophylaxis for medically ill patients during hospitalization and postdischarge remains underutilized. Clinical decision support (CDS) may address this need if embedded within workflow, interchangeable among electronic health records (EHRs), and anchored on a validated model. Objectives: The purpose of this study was to assess the clinical impact of a universal EHR-integrated CDS tool based on the International Medical Prevention Registry on Venous Thromboembolism plus D-Dimer venous thromboembolism model. Methods: This was a cluster randomized trial of 4 tertiary academic hospitals from December 21, 2020 to January 21, 2022. Inpatients over age 60 with key medical illnesses were eligible. We embedded CDS at admission and discharge. Hospitals were randomized to intervention (CDS; n = 2) vs usual care (n = 2) groups. The primary outcome was rate of appropriate thromboprophylaxis. Secondary outcomes included venous, arterial, and total thromboembolism, major bleeding, and all-cause mortality through 30 days postdischarge. Results: After exclusions, 10,699 of 19,823 patients were analyzed. Intervention group tool adoption was 77.8%. Appropriate thromboprophylaxis was increased at intervention hospitals, both inpatient (80.1% vs 72.5%, OR: 1.52, 95% CI: 1.39-1.67) and at discharge (13.6% vs 7.5%, OR: 1.93, 95% CI: 1.60-2.33). There were fewer venous (2.7% vs 3.3%, OR: 0.80, 95% CI: 0.64-1.00), arterial (0.25% vs 0.70%, OR: 0.35, 95% CI: 0.19-0.67), and total thromboembolisms (2.9% vs 4.0%, OR: 0.71, 95% CI: 0.58-0.88) at intervention hospitals. Major bleeding was rare and did not differ between groups. Mortality was higher at intervention hospitals (9.1% vs 7.0%, OR: 1.32, 95% CI: 1.15-1.53). Conclusions: EHR-embedded CDS increased appropriate thromboprophylaxis and reduced thromboembolism without increasing major bleeding in medically ill inpatients. Mortality was higher at intervention hospitals.

Indexed as

arterial thromboembolismclinical decision supportclinical prediction ruleIMPROVE-DD VTE scoremedical inpatientthromboprophylaxisvenous thromboembolism

Identifiers

PMID38938337
PMCPMC11198051

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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.