Evidence map›Paper›PMID 26362574›Full record

ArticleAnnals of emergency medicine2015

Implementation of Computerized Physician Order Entry Is Associated With Increased Thrombolytic Administration for Emergency Department Patients With Acute Ischemic Stroke.

Dustin W Ballard, Anthony S Kim, Jie Huang, David K Park, Mamata V Kene, Uli K Chettipally, Hilary R Iskin, John Hsu, David R Vinson, Dustin G Mark and 2 more

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Integrity of clinical information in computerized order requisitions for diagnostic imaging.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  4. Article
  5. Using Stroke Order Sets to Improve Compliance With Quality Measures for Ischemic Stroke Admissions.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2018
    Article
  6. Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical Services.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  7. Article
  8. Article
  9. Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Dustin W BallardKaiser Permanente San Rafael Medical Center, San Rafael, CA; Kaiser Permanente Division of Research, Oakland, CA. Electronic address: dustin.ballard@kp.org.
Anthony S KimDepartment of Neurology, University of California at San Francisco, San Francisco, CA.
Jie HuangKaiser Permanente Division of Research, Oakland, CA.
David K ParkKaiser Permanente San Leandro Medical Center, San Leandro, CA.
Mamata V KeneKaiser Permanente San Leandro Medical Center, San Leandro, CA.
Uli K ChettipallyKaiser Permanente South San Francisco Medical Center, South San Francisco, CA.
Hilary R IskinKaiser Permanente Division of Research, Oakland, CA.
John HsuMongan Institute for Health Policy, Massachusetts General Hospital, Department of Health Care Policy, Harvard Medical School, Boston, MA.
David R VinsonKaiser Permanente Division of Research, Oakland, CA; Kaiser Permanente Roseville Medical Center, Roseville, CA.
Dustin G MarkKaiser Permanente Oakland Medical Center, Oakland, CA.
Mary E ReedKaiser Permanente Division of Research, Oakland, CA.
KP CREST Network Investigators
Kaiser Permanente · USKaiser Permanente San Leandro Medical Center · USKaiser Permanente Oakland Medical Center · USKaiser Permanente San Rafael Medical Center · USKaiser Permanente South San Francisco Medical Center · USMassachusetts General Hospital · USUniversity of California, San Francisco · US

Funding

Impact of Integrated Patient-Facing Health IT Tools on Quality and Resource Use for Patients with DiabetesR01DK085070 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI REED, MARY · 2010 to 2019
$4.4M
NIDDK NIH HHS R01 DK085070
6 · The paper itself

Abstract

STUDY

objectiveElectronic health record systems with computerized physician order entry and condition-specific order sets are intended to standardize patient management and minimize errors of omission. However, the effect of these systems on disease-specific process measures and patient outcomes is not well established. We seek to evaluate the effect of computerized physician order entry electronic health record implementation on process measures and short-term health outcomes for patients hospitalized with acute ischemic stroke.

methodsWe conducted a quasi-experimental cohort study of patients hospitalized for acute ischemic stroke with concurrent controls that took advantage of the staggered implementation of a comprehensive computerized physician order entry electronic health record across 16 medical centers within an integrated health care delivery system from 2007 to 2012. The study population included all patients admitted to the hospital from the emergency department (ED) for acute ischemic stroke, with an initial neuroimaging study within 2.5 hours of ED arrival. We evaluated the association between the availability of a computerized physician order entry electronic health record and the rates of ED intravenous tissue plasminogen activator administration, hospital-acquired pneumonia, and inhospital and 90-day mortality, using doubly robust estimation models to adjust for demographics, comorbidities, secular trends, and concurrent primary stroke center certification status at each center.

resultsOf 10,081 eligible patients, 6,686 (66.3%) were treated in centers after the computerized physician order entry electronic health record had been implemented. Computerized physician order entry was associated with significantly higher rates of intravenous tissue plasminogen activator administration (rate difference 3.4%; 95% confidence interval 0.8% to 6.0%) but not with significant rate differences in pneumonia or mortality.

conclusionFor patients hospitalized for acute ischemic stroke, computerized physician order entry use was associated with increased use of intravenous tissue plasminogen activator.

Indexed as

Medical Order Entry SystemsAgedCross InfectionElectronic Health RecordsEmergency Service, HospitalFemaleFibrinolytic AgentsHospital MortalityHumansMalePneumonia, BacterialQuality ImprovementStrokeTissue Plasminogen ActivatorFibrinolytic AgentsTissue Plasminogen Activator

Identifiers

PMID26362574
PMCPMC5111545
OpenAlexW1428777146

What OpenQuestion holds

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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.