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Related Experiment Videos

A Randomized Cross-Over Trial Focused on Clinical Breast Exam Skill Acquisition Using High Fidelity versus Low

Shilpa Shree Murthy1, Georges Ntakiyiruta2, Faustin Ntirenganya2

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

Journal of Surgical Education
|April 4, 2020
PubMed
Summary

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This summary is machine-generated.

Low-fidelity (LF) simulation models are as effective as high-fidelity (HF) models for clinical breast exam (CBE) skill acquisition. This finding supports the use of cost-effective LF models for training healthcare professionals in resource-limited settings.

Area of Science:

  • Medical Education
  • Oncology
  • Global Health

Background:

  • Breast cancer incidence is increasing in low and middle-income countries (LMICs).
  • Expanding the healthcare workforce skilled in clinical breast exam (CBE) is crucial for global breast cancer mitigation.
  • Simulation-based training offers a scalable solution for skill development.

Purpose of the Study:

  • To compare the effectiveness of low-fidelity (LF) versus high-fidelity (HF) simulation models for clinical breast exam (CBE) skill acquisition.
  • To evaluate the feasibility of using LF models as cost-effective training tools in resource-limited settings.
  • To assess skill acquisition in healthcare professionals undergoing CBE simulation training in Rwanda.

Main Methods:

  • A single-center randomized educational crossover trial was conducted at the University Teaching Hospital, Kigali, Rwanda.
Keywords:
Medical KnowledgePatient CarePractice-Based Learning and ImprovementSystems-Based Practice

Related Experiment Videos

  • Participants included medical students and residents who underwent a 1-day CBE simulation training course.
  • Training involved pre-intervention exams, lectures, and crossover training with assigned LF and HF simulation models.

    • Main Results:

    • No significant difference in mean exam scores was observed between the high-fidelity (HF) and low-fidelity (LF) simulation groups across all assessment points.
    • Overall CBE exam scores demonstrated improvement from pre- to post-intervention.
    • 107 individuals were analyzed in each arm of the study.

    Conclusions:

    • Low-fidelity (LF) simulation models are effective for clinical breast exam (CBE) skill acquisition, yielding comparable results to high-fidelity (HF) models.
    • LF models represent a cost-effective and viable teaching tool for CBE training in resource-poor settings.
    • Simulation-based training can enhance the capacity of healthcare workforces in LMICs for breast cancer screening.