Evidence map›Paper›PMID 26367388›Full record

Trial reportPloS one2015

Evaluating the Impact of Computerized Provider Order Entry on Medical Students Training at Bedside: A Randomized Controlled Trial.

Maxime Wack, Etienne Puymirat, Brigitte Ranque, Sophie Georgin-Lavialle, Isabelle Pierre, Aurelia Tanguy, Felix Ackermann, Celine Mallet, Juliette Pavie, Hakima Boultache and 2 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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.

Maxime WackBiomedical informatics and public health department, HEGP, AP-HP, Paris Descartes University, Paris, France; INSERM UMR S 872 team 22, Faculté de Médecine, Paris Descartes University, Paris, France.
Etienne PuymiratDepartement of Cardiology, HEGP, AP-HP, Paris Descartes University, Paris, France; INSERM U-970, Faculté de Médecine, Paris Descartes University, Paris, France.
Brigitte RanqueINSERM U-970, Faculté de Médecine, Paris Descartes University, Paris, France; Department of Internal Medicine, HEGP, AP-HP, Paris Descartes University, Paris, France.
Sophie Georgin-LavialleDepartment of Internal Medicine, HEGP, AP-HP, Paris Descartes University, Paris, France.
Isabelle PierreDepartment of Clinical Immunology, HEGP, AP-HP, Paris Descartes University, Paris, France.
Aurelia TanguyDepartement of Cardiology, HEGP, AP-HP, Paris Descartes University, Paris, France.
Felix AckermannDepartment of Internal Medicine, HEGP, AP-HP, Paris Descartes University, Paris, France.
Celine MalletDepartment of Internal Medicine, HEGP, AP-HP, Paris Descartes University, Paris, France.
Juliette PavieDepartment of Infectious Diseases, Saint-Louis Hospital, Paris Diderot University, Paris, France.
Hakima BoultacheBiomedical informatics and public health department, HEGP, AP-HP, Paris Descartes University, Paris, France; INSERM UMR S 872 team 22, Faculté de Médecine, Paris Descartes University, Paris, France.
Pierre DurieuxBiomedical informatics and public health department, HEGP, AP-HP, Paris Descartes University, Paris, France; INSERM UMR S 872 team 22, Faculté de Médecine, Paris Descartes University, Paris, France; Centre d'Investigation Épidémiologique 4, INSERM, Faculté de Médecine, Paris Descartes University, Paris, France.
Paul AvillachBiomedical informatics and public health department, HEGP, AP-HP, Paris Descartes University, Paris, France; INSERM UMR S 872 team 22, Faculté de Médecine, Paris Descartes University, Paris, France; Center for Biomedical Informatics, Harvard Medical School & Children's Hospital Informatics Program, Boston Children's Hospital, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of computerized provider order entry (CPOE) at the bedside on medical students training. MATERIALS AND

methodsWe conducted a randomized cross-controlled educational trial on medical students during two clerkship rotations in three departments, assessing the impact of the use of CPOE on their ability to place adequate monitoring and therapeutic orders using a written test before and after each rotation. Students' satisfaction with their practice and the order placement system was surveyed. A multivariate mixed model was used to take individual students and chief resident (CR) effects into account. Factorial analysis was applied on the satisfaction questionnaire to identify dimensions, and scores were compared on these dimensions.

resultsThirty-six students show no better progress (beginning and final test means = 69.87 and 80.98 points out of 176 for the control group, 64.60 and 78.11 for the CPOE group, p = 0.556) during their rotation in either group, even after adjusting for each student and CR, but show a better satisfaction with patient care and greater involvement in the medical team in the CPOE group (p = 0.035*). Both groups have a favorable opinion regarding CPOE as an educational tool, especially because of the order reviewing by the supervisor.

conclusionThis is the first randomized controlled trial assessing the performance of CPOE in both the progress in prescriptions ability and satisfaction of the students. The absence of effect on the medical skills must be weighted by the small time scale and low sample size. However, students are more satisfied when using CPOE rather than usual training.

Indexed as

Medical Order Entry SystemsEducation, Medical, GraduateFemaleHumansMale

Identifiers

PMID26367388
PMCPMC4569055

What OpenQuestion holds

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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.