Objective Our poster at the 2009 winter BTS meeting described the Chest drain training module for CMT1 and CMT2 trainees in West Midlands Deanery. We have proceeded further to formally validate our novel Porcine–Resin thorax model for Chest drain insertion training by assessing the face, content, and construct validity of the model.
Methods We recruited 82 doctors who work in General Medicine and Allied Specialties in Hospitals across West Midlands Deanery in UK. They were further divided into three groups as novice, intermediate and expert depending on the number of chest drains they had performed previously. During the study, they were asked to insert a chest drain using seldinger technique in the Porcine–Resin thorax model and their performance was recorded and marked anonymously using checklist scoring system. We developed the model using porcine ribs mounted on a resin cast of human thorax. All participants completed a questionnaire regarding the realism of the simulator after they completed 2 h of training and updated their skills using the model. In addition, the intermediate and expert groups also have given their views regarding the appropriateness of the simulator for training and assessment purposes.
Results The expert group performed better than the intermediate group (p<0.0001), which in turn performed better than the novices (p<0.0001).The expert group rated the overall realism of the simulator at 5.2, Intermediate group at 5.4 and the Novice group at 5.26 on a seven-point Likert scale. No statistically significant differences were observed between the group mean scores.
Conclusion Through this study we have demonstrated that our Porcine–Resin thorax model was able to discriminate between different levels of expertise (construct validity) in seldinger chest drain insertion. All the three groups have agreed that this offers a realistic experience in chest drain insertion training for residents (face validity) and in addition the experts believe that this model can also be used competency assessments.
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