Evidence map›Paper›PMID 37223777›Full record

ArticleProceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting2022

Slow and Steady: Examining the impact of hands-on instructions on learnability of a training simulator to enhance development of core skills in Central Venous Catheterization.

Haroula M Tzamaras, Dailen C Brown, Jessica M Gonzalez-Vargas, Jason Z Moore, Scarlett R Miller

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual meeting, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 1 institution in 1 country.

Haroula M TzamarasPennsylvania State University Industrial Engineering.
Dailen C BrownPennsylvania State University Mechanical Engineering.
Jessica M Gonzalez-VargasPennsylvania State University Industrial Engineering.
Jason Z MoorePennsylvania State University Mechanical Engineering.
Scarlett R MillerPennsylvania State University Industrial Engineering.
Pennsylvania State University · US

Funding

Dynamic Haptic Robotic Training for Central Venous Catheter InsertionR01HL127316 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Scarlett Miller, Jason Zachary Moore · 2015 to 2026
$3.7M
NHLBI NIH HHS R01 HL127316
6 · The paper itself

Abstract

Instructional design is the theory surrounding how learners perceive information and is prevalent in simulation-based medical education. Simulation is used for a variety of medical procedures including central venous catheterization (CVC). The dynamic haptic robotic trainer (DHRT) is a CVC teaching simulator developed to specifically focus on training the needle insertion portion of CVC. While the DHRT has been validated to teach CVC as well as other training methods, an opportunity was seen to redesign the instructions of the DHRT to increase the learnability of the system. A hands-on instructional walkthrough was designed. A group trained with the hands-on instructions was compared to a previous group to assess initial insertion performance. Results indicate that changing the instructional method to be hands-on may have an impact on system learnability and help reinforce development of core components of CVC.

Identifiers

PMID37223777
PMCPMC10202001
OpenAlexW4312916866

What OpenQuestion holds

Textmetadata
LicenceTDM
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.