Evidence map›Paper›PMID 29574019›Full record

ArticleJournal of surgical education

Investigating the Effect of Simulator Functional Fidelity and Personalized Feedback on Central Venous Catheterization Training.

Mary A Yovanoff, Hong-En Chen, David F Pepley, Katelin A Mirkin, David C Han, Jason Z Moore, Scarlett R Miller

Abstract readComparative Study
In one paragraph

Article in Journal of surgical education. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  6. Observational
  7. Article
  8. Review
  9. Review
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  11. FUN AND GAMES: DESIGNING A GAMIFIED CENTRAL VENOUS CATHETERIZATION TRAINING SIMULATOR.Proceedings of the International Symposium of Human Factors and Ergonomics in Healthcare. International Symposium of Human Factors and Ergonomics in Healthcare · 2021
    Article
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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

7 authors.

Mary A YovanoffDepartment of Industrial and Manufacturing Engineering, Penn State, University Park, Pennsylvania.
Hong-En ChenDepartment of Industrial and Manufacturing Engineering, Penn State, University Park, Pennsylvania.
David F PepleyDepartment of Mechanical and Nuclear Engineering, Penn State, University Park, Pennsylvania.
Katelin A MirkinDepartment of Surgery, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania.
David C HanDepartment of Surgery, Penn State Health Milton S. Hershey Medical Center, Hershey, Pennsylvania.
Jason Z MooreDepartment of Mechanical and Nuclear Engineering, Penn State, University Park, Pennsylvania.
Scarlett R MillerDepartment of Industrial and Manufacturing Engineering, Penn State, University Park, Pennsylvania; School of Engineering Design, Technology, and Professional Programs, Penn State, University Park, Pennsylvania. Electronic address: scarlettmiller@psu.edu.

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

objectiveTo compare the effect of simulator functional fidelity (manikin vs a Dynamic Haptic Robotic Trainer [DHRT]) and personalized feedback on surgical resident self-efficacy and self-ratings of performance during ultrasound-guided internal jugular central venous catheterization (IJ CVC) training. In addition, we seek to explore how self-ratings of performance compare to objective performance scores generated by the DHRT system.

designParticipants were randomly assigned to either manikin or DHRT IJ CVC training over a 6-month period. Self-efficacy surveys were distributed before and following training. Training consisted of a pretest, 22 practice IJ CVC needle insertion attempts, 2 full-line practice attempts, and a posttest. Participants provided self-ratings of performance for each needle insertion and were presented with feedback from either an upper level resident (manikin) or a personalized learning system (DHRT).

settingA study was conducted from July 2016 to February 2017 through a surgical skills training program at Hershey Medical Center in Hershey, Pennsylvania.

participantsTwenty-six first-year surgical residents were recruited for the study. Individuals were informed that IJ CVC training procedures would be consistent regardless of participation in the study and that participation was optional. All recruited residents opted to participate in the study.

resultsResidents in both groups significantly improved their self-efficacy scores from pretest to posttest (p < 0.01). Residents in the manikin group consistently provided higher self-ratings of performance (p < 0.001). Residents in the DHRT group recorded more feedback on errors (228 instances) than the manikin group (144 instances). Self-ratings of performance on the DHRT system were able to significantly predict the objective score of the DHRT system (R

conclusionSimulation training with the DHRT system and the personalized learning feedback can improve resident self-efficacy with IJ CVC procedures and provide sufficient feedback to allow residents to accurately assess their own performance.

Indexed as

Catheterization, Central VenousClinical CompetenceManikinsRoboticsEducation, Medical, GraduateFeedbackFemaleGeneral SurgeryHumansInternship and ResidencyMaleSelf EfficacySimulation Trainingcentral venous catheterizationmedical training simulationPractice-Based Learning and Improvementresidency trainingself-efficacysimulator fidelityvirtual reality

Identifiers

PMID29574019
PMCPMC6139271

What OpenQuestion holds

Textmetadata
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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.