title: Development and Evaluation of Two Canine Low-Fidelity Simulation Models.
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.
authors: Maria
authors: M
authors: Aulmann
authors: Maren
authors: M
authors: März
authors: Iwan A
authors: IA
authors: Burgener
authors: Michaele
authors: M
authors: Alef
authors: Sven
authors: S
authors: Otto
authors: Christoph K W
authors: CK
authors: Mülling
mesh_terms: D000818:Animals; D002983:Clinical Competence; D004285:Dogs; D004520:Education, Veterinary; D005260:Female; D007440:Intubation / Q000662:veterinary*; D008348:Manikins; D013334:Students; D014546:Urinary Catheterization / Q000662:veterinary*
keywords: OSCE; clinical skills; developing low-fidelity models; evaluation of simulation models; low-fidelity model; low-fidelity simulation; simulation manikin