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Related Experiment Videos

A Randomized Cross-Over Trial Focused on Breast Core Needle Biopsy Skill Acquisition and Safety Using High Fidelity

Shilpa S Murthy1, Faustin Ntirenganya2, John W Scott3

  • 1Indiana University, Department of Surgery, Bloomington, Indiana; Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Boston, Massachusetts.

Journal of Surgical Education
|January 7, 2020
PubMed
Summary

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Low-fidelity simulation models are effective for training healthcare professionals in breast core needle biopsy (BCNB) procedures, especially in resource-limited settings. Skill acquisition was comparable between low-fidelity and high-fidelity models, demonstrating the value of accessible training tools.

Area of Science:

  • Medical Education
  • Surgical Simulation
  • Oncology Diagnostics

Background:

  • Breast cancer is a leading cause of cancer diagnosis in low and middle-income countries.
  • There is a critical need to increase healthcare personnel skilled in diagnostic procedures like breast core needle biopsy (BCNB).
  • Simulation-based training is a key strategy for acquiring procedural skills.

Purpose of the Study:

  • To evaluate skill acquisition, confidence, and safety in breast core needle biopsy (BCNB) using simulation training.
  • To compare the effectiveness of low-cost, low-fidelity (LF) models versus expensive, high-fidelity (HF) models for BCNB training.
  • To assess the feasibility of using LF models in resource-limited settings.

Main Methods:

  • A single-center randomized education crossover trial was conducted at the University Teaching Hospital, Kigali, Rwanda.
Keywords:
Medical KnowledgePatient CarePractice-Based Learning and ImprovementSystems-Based Practicebreast cancerbreast core needle biopsy skill acquisitionglobal healthglobal surgerysimulation

Related Experiment Videos

  • Surgical and obstetrics/gynecology residents participated in a 1-day BCNB simulation training course.
  • Participants were randomized to train with either HF or LF models, with a crossover to the alternative model.

    • Main Results:

    • No significant differences in mean exam scores were observed between the HF and LF groups post-intervention and during crossover.
    • Overall exam scores demonstrated improvement from pre- to post-intervention for all participants.
    • 36 residents were analyzed, with 19 in the HF arm and 17 in the LF arm.

    Conclusions:

    • Low-fidelity (LF) simulation models are effective teaching tools for skill acquisition in diagnostic surgical procedures like BCNB.
    • LF models offer a viable and cost-effective alternative for training in resource-poor areas.
    • Simulation training significantly improves resident performance in BCNB procedures.