Evidence map›Paper›PMID 33520557›Full record

ArticleCureus2020

The Development of an Intramuscular Injection Simulation for Nursing Students.

Julia Micallef, Artur Arutiunian, Adam Dubrowski

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 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

3 authors at 1 institution in 1 country.

Julia MicallefHealth Sciences, Ontario Tech University, Oshawa, CAN.
Artur ArutiunianHealth Sciences, Ontario Tech University, Oshawa, CAN.
Adam DubrowskiHealth Sciences, Ontario Tech University, Oshawa, CAN.
University of Ontario Institute of Technology · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intramuscular (IM) injections are preferred over subcutaneous injections for administering medicine such as epinephrine and vaccines as the muscle tissue contains an increased vascular supply that provides ideal absorption of the drug being administered. However, administering an IM injection requires clinical judgment when choosing the injection site, understanding the relevant anatomy and physiology as well as the principles and techniques for administering an IM injection. Therefore, it is essential to learn and perform IM injections using injection simulators to practice the skill before administering to a real patient. Current IM injection simulators either favor realism at the expense of standardization or are expensive but do not provide a realistic experience. Therefore, it is imperative to develop an inexpensive but realistic intramuscular injection simulator that can be used to train nursing students so that they can be prepared for when they enter the clinical setting. This technical report aims to provide an overview of the development of an inexpensive and realistic deltoid simulator geared to teach nursing students the skill of IM injections. After development, the IM simulators were tested and validated by practicing nurses. An 18-item survey was administered to the nurses, and results indicated positive feedback about the realism of the simulator, in comparison to previous models used, such as the Wallcur® PRACTI-Injecta Pads (Wallcur LLC, San Diego, CA). Feedback to improve the density of the simulator as well as the shape and size to make it a more realistic experience was provided.

Indexed as

intramuscular injectionssimulationtraining

Identifiers

PMID33520557
PMCPMC7839806
OpenAlexW3116527819

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.