Evidence map›Paper›PMID 25024755›Full record

ArticleApplied clinical informatics2014

Developing clinical decision support within a commercial electronic health record system to improve antimicrobial prescribing in the neonatal ICU.

R S Hum, K Cato, B Sheehan, S Patel, J Duchon, P DeLaMora, Y H Ferng, P Graham, D K Vawdrey, J Perlman and 2 more

2 registry-linked trialsAbstract read
In one paragraph

Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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.

NCT03079245 nacompletednot on this map

Improving Antimicrobial Prescribing Practices in the Neonatal Intensive Care Unit

TypeinterventionalSponsorColumbia UniversityRan2009 to 2012Enrolled6,184ConditionsInfants in Neonatal Intensive Care UnitsArmsEducation Plus (E+), Clinical Decision Support, Prescriber Audit and Feedback
NCT03911687 nacompletednot on this mapstarted 2020, after this paper: background citation

Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System

TypeinterventionalSponsorColumbia UniversityRan2020 to 2022Enrolled60,893ConditionsHospital Acquired ConditionArmsCONCERN CDS system notification
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

R S HumDepartment of Pediatrics, Columbia University , NY, NY.
K CatoSchool of Nursing, Columbia University , NY, NY.
B SheehanFaculty Practice Organization, Columbia University , NY, NY.
S PatelDepartment of Pediatrics, Northwestern University , Chicago, IL.
J DuchonDepartment of Pediatrics, Columbia University , NY, NY.
P DeLaMoraDepartment of Pediatrics, Weill Cornell Medical College , NY, NY.
Y H FerngSchool of Nursing, Columbia University , NY, NY.
P GrahamDepartment of Pediatrics, Columbia University , NY, NY ; Department of Quality and Patient Safety, NewYork-Presbyterian Hospital , NY, NY ; Department of Infection Prevention & Control, NewYork-Presbyterian Hospital , NY, NY.
D K VawdreyDepartment of Biomedical Informatics, Columbia University , NY, NY.
J PerlmanDepartment of Pediatrics, Weill Cornell Medical College , NY, NY.
E LarsonSchool of Nursing, Columbia University , NY, NY ; School of Nursing and Mailman School of Public Health, Columbia University , NY, NY.
L SaimanDepartment of Pediatrics, Columbia University , NY, NY ; Department of Infection Prevention & Control, NewYork-Presbyterian Hospital , NY, NY.

Funding

Improving Antimicrobial Prescribing Practices in the Neonatal Intensive Care UnitR01NR010821 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SAIMAN, LISA · 2008 to 2012
$4.6M
Training in Pediatric Infectious DiseasesT32AI007531 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRINCE, ALICE S, SAIMAN, LISA · 1998 to 2023
$4.0M
Electronic Communication for Antimicrobial Management (ECAM)R21NR010823 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HUM, ROBERT STANLEY · 2007 to 2008
$438k
NIAID NIH HHS T32 AI007531NINR NIH HHS R01 NR010821NINR NIH HHS R01NR010821NINR NIH HHS R21 NR010823NINR NIH HHS R21NR010823
6 · The paper itself

Abstract

objectiveTo develop and implement a clinical decision support (CDS) tool to improve antibiotic prescribing in neonatal intensive care units (NICUs) and to evaluate user acceptance of the CDS tool.

methodsFollowing sociotechnical analysis of NICU prescribing processes, a CDS tool for empiric and targeted antimicrobial therapy for healthcare-associated infections (HAIs) was developed and incorporated into a commercial electronic health record (EHR) in two NICUs. User logs were reviewed and NICU prescribers were surveyed for their perceptions of the CDS tool.

resultsThe CDS tool aggregated selected laboratory results, including culture results, to make treatment recommendations for common clinical scenarios. From July 2010 to May 2012, 1,303 CDS activations for 452 patients occurred representing 22% of patients prescribed antibiotics during this period. While NICU clinicians viewed two culture results per tool activation, prescribing recommendations were viewed during only 15% of activations. Most (63%) survey respondents were aware of the CDS tool, but fewer (37%) used it during their most recent NICU rotation. Respondents considered the most useful features to be summarized culture results (43%) and antibiotic recommendations (48%). DISCUSSION: During the study period, the CDS tool functionality was hindered by EHR upgrades, implementation of a new laboratory information system, and changes to antimicrobial testing methodologies. Loss of functionality may have reduced viewing antibiotic recommendations. In contrast, viewing culture results was frequently performed, likely because this feature was perceived as useful and functionality was preserved.

conclusionTo improve CDS tool visibility and usefulness, we recommend early user and information technology team involvement which would facilitate use and mitigate implementation challenges.

Indexed as

Decision Support Systems, ClinicalDrug PrescriptionsElectronic Health RecordsIntensive Care Units, NeonatalAnti-Infective AgentsData CollectionHumansInfant, NewbornPersonal SatisfactionAnti-Infective AgentsAntimicrobial stewardshipclinical decision supportimplementationneonatal intensive care unit

Identifiers

PMID25024755
PMCPMC4081742

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.