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Development and Evaluation of two Canine Low-Fidelity Simulation Models

  • Maria Aulmann
  • , Maren März
  • , Iwan A Burgener
  • , Michaele Alef
  • , Sven Otto
  • , Christoph K W Mülling

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    Two self-made low-fidelity models for simulation of canine intubation and canine female urinary catheterization were developed and evaluated. We used a study design that compares acquired skills of two intervention groups and one control group in a practical examination. Fifty-eight second-year veterinary medicine students received a theoretical introduction to intubation and were randomly divided into three groups. Group I (high-fidelity) was then trained on a commercially available Intubation Training Manikin (item #2006, Veteffects), group II (low-fidelity) was trained on our low-fidelity model, and group III (text) read a text describing intubation of the dog. Forty-seven fifth-year veterinary medicine students followed the same procedure for training urinary catheterization using the commercially available Female Urinary Catheter Training Manikin (Paws 2 Claws), our self-made model, and text. Outcomes were assessed in a practical examination on a cadaver using an Objective Structured Clinical Examination (OSCE) checklist. Considering a value of p≤.05 significant, intervention groups performed significantly better than the text groups. Group I (high-fidelity) and group II (low-fidelity) showed no significant differences (p≤.684, intubation; p≤.901, urinary catheterization). We thereby conclude that low-fidelity models can be as effective as high-fidelity models for clinical skills training.

    Original languageEnglish
    Pages (from-to)151-160
    Number of pages10
    JournalJournal of Veterinary Medical Education
    Volume42
    Issue number2
    DOIs
    Publication statusPublished - 10 Apr 2015

    Keywords

    • evaluation of simulation models
    • simulation manikin
    • low-fidelity simulation
    • low-fidelity model
    • developing low-fidelity models
    • clinical skills
    • OSCE

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