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Simul Healthc ; 10(2): 116-21, 2015 Apr.
Article in English | MEDLINE | ID: mdl-25710314

ABSTRACT

INTRODUCTION: Cervical biopsy increases diagnostic yield compared with cytology and reduces time between presentation with and diagnosis of cervical cancer. Procedural training however needs to evolve in line with legislated working time restrictions and patient safety concerns. This makes gynecologic procedures ideal for simulation training. To date, no studies have looked at the use of low-fidelity simulation models to teach cervical punch biopsy. METHODS: A cervical punch biopsy model was created using home and departmental waste products. The simulation model was tested by expert colposcopists and used during a gynecology trainee cervical study day. Twenty-one trainees attended a lecture that showed photographs of normal and abnormal cervices and a workshop where colposcopists demonstrated the technique before direct hands-on training with the simulator. Participants were asked to complete a survey, using a 5-point Likert scale, outlining the educational value of the workshop. RESULTS: Five low-fidelity cervical biopsy simulation models were created, these cost nothing, took an hour to make, and were easily transported. Of the different "cervix" materials tested, sponge provided the most realistic traction and the least fragmented biopsies (3-5 mm). Eighteen trainees completed the survey of whom all strongly agreed that learning was enhanced compared with didactics alone. The mean score for the value of the simulation in preparing trainees to perform future cervical biopsies was 4.7 (SD = 0.42) (95% confidence interval, 4.49-4.90). CONCLUSIONS: Our low-fidelity cervical biopsy models are easy to make, portable, and low cost. Trainees have reported the significant educational value of this simulation model in teaching an outpatient gynecologic/colposcopy procedure in a nonclinical environment.


Subject(s)
Biopsy , Cervix Uteri , Education, Medical/methods , Gynecology/education , Models, Biological , Colposcopy , Female , Humans
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