Evidence map›Paper›PMID 34123623›Full record

ArticleCureus2021

Using a Semi-Structured Qualitative Interview to Evaluate Pediatric Interns' Use of the Electronic Medical Record in a Simulated Setting.

Stefan Malin, Nathan Swinger, Emily Meanwell, Amelia Hawbaker, Kamal Abulebda

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Stefan MalinPediatric Critical Care Medicine, Riley Hospital for Children at Indiana University Health, Indianapolis, USA.
Nathan SwingerPediatric Critical Care Medicine, Riley Hospital for Children at Indiana University Health, Indianapolis, USA.
Emily MeanwellSociology, Indiana University, Bloomington, USA.
Amelia HawbakerSociology, Indiana University, Bloomington, USA.
Kamal AbulebdaPediatric Critical Care Medicine, Riley Hospital for Children at Indiana University Health, Indianapolis, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Effective use of electronic medical record (EMR) is paramount to delivering safe and effective care. Current EMR education is inadequate, with literature showing frequent deficiencies in skills needed to obtain and interpret data. This study aims to evaluate pediatric interns' perception of EMR inclusion in scenario-based simulation training. Methods A total of 13 pediatric interns participated in an EMR-enhanced, multidisciplinary simulation of a pediatric patient with septic shock during the 2019-2020 academic year. Following the simulation, the interns participated in a semi-structured interview to evaluate the experience of having the EMR incorporated into the simulation and what benefits it offers. Results Of the 13 interns, 12 (92%) felt that incorporating the EMR into the simulation increased the realism of the scenario. All (100%) interns reported that EMR inclusion led to increased learning about the EMR, including gaining or re-learning skills needed to access or interpret electronic clinical data. Participants felt that EMR inclusion in the simulation provided valuable learning opportunities not present in traditional EMR education. Conclusions Integrating the EMR into simulation is viewed positively by pediatric interns, is perceived to improve simulation realism, and helps teach important EMR skills. EMR training would benefit from incorporation into scenario-based simulations.

Indexed as

electronic medical recordemrmedical educationsimulationtraining

Identifiers

PMID34123623
PMCPMC8187007

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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.