Evidence map›Paper›PMID 31945085›Full record

ArticlePloS one2020

Using electronic health record system triggers to target delivery of a patient-centered intervention to improve venous thromboembolism prevention for hospitalized patients: Is there a differential effect by race?

Oluwafemi P Owodunni, Elliott R Haut, Dauryne L Shaffer, Deborah B Hobson, Jiangxia Wang, Gayane Yenokyan, Peggy S Kraus, Jonathan K Aboagye, Katherine L Florecki, Kristen L W Webster and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 14 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

13 authors at 2 institutions in 1 country.

Oluwafemi P OwodunniDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0003-4610-2574
Elliott R HautDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Dauryne L ShafferDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Deborah B HobsonDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Jiangxia WangDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Gayane YenokyanDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Peggy S KrausDepartment of Pharmacy, The Johns Hopkins Hospital, Baltimore, Maryland, United States of America.
Jonathan K AboagyeDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Katherine L FloreckiDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Kristen L W WebsterDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Christine G HolzmuellerDivision of Acute Care Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.ORCID 0000-0002-9401-7721
Michael B StreiffArmstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland, United States of America.
Brandyn D LauArmstrong Institute for Patient Safety and Quality, Johns Hopkins Medicine, Baltimore, Maryland, United States of America.
Johns Hopkins University · USJohns Hopkins Hospital · US

Funding

Individualized Performance Feedback on Venous Thromboembolism Prevention PracticeR01HS024547 · AHRQ · JOHNS HOPKINS UNIVERSITY · PI HAUT, ELLIOTT R · 2016 to 2020
$1.2M
Analysis of the impact of missed doses of venous thromboembolism prophylaxisR21HL129028 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI LAU, BRANDYN DANIEL · 2017 to 2018
$245k
AHRQ HHS R01 HS024547NHLBI NIH HHS R21 HL129028Patient-Centered Outcomes Research Institute CE-12-11-4489
6 · The paper itself

Abstract

backgroundRacial disparities are common in healthcare. Venous thromboembolism (VTE) is a leading cause of preventable harm, and disparities observed in prevention practices. We examined the impact of a patient-centered VTE education bundle on the non-administration of preventive prophylaxis by race.

methodsA post-hoc, subset analysis (stratified by race) of a larger nonrandomized trial. Pre-post comparisons analysis were conducted on 16 inpatient units; study periods were October 2014 through March 2015 (baseline) and April through December 2015 (post-intervention). Patients on 4 intervention units received the patient-centered, nurse educator-led intervention if the electronic health record alerted a non-administered dose of VTE prophylaxis. Patients on 12 control units received no intervention. We compared the conditional odds of non-administered doses of VTE prophylaxis when patient refusal was a reason for non-administration, stratified by race.

resultsOf 272 patient interventions, 123 (45.2%) were white, 126 (46.3%) were black, and 23 (8.5%) were other races. A significant reduction was observed in the odds of non-administration of prophylaxis on intervention units compared to control units among patients who were black (OR 0.61; 95% CI, 0.46-0.81, p<0.001), white (OR 0.57; 95% CI, 0.44-0.75, p<0.001), and other races (OR 0.50; 95% CI, 0.29-0.88, p = 0.015).

conclusionOur finding suggests that the patient education materials, developed collaboratively with a diverse group of patients, improved patient's understanding and the importance of VTE prevention through prophylaxis. Quality improvement interventions should examine any differential effects by patient characteristics to ensure disparities are addressed and all patients experience the same benefits.

Indexed as

Electronic Health RecordsHealthcare DisparitiesPatient-Centered CareRace FactorsAdultAgedAnticoagulantsFemaleHospitalizationHumansMaleMiddle AgedPatient Education as TopicTreatment RefusalVenous ThromboembolismAnticoagulants

Identifiers

PMID31945085
PMCPMC6964816
OpenAlexW2999151798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.