Clinical trial on nurse training through virtual reality simulation of an operating room: assessing satisfaction and outcomes.

INTRODUCTION: Virtual reality (VR) provides a firsthand active learning experience through varying degrees of immersion. The aim of this study is to evaluate the use of VR as a potential tool for training operating room nurses to perform thoracic surgery procedures. METHODS: This is an open parallel-group randomized clinical trial. One group received basic formation followed by an assessment module. The experimental group received the same basic formation, followed by thoracic surgery training and an assessment module. RESULTS: Fifty-six nurses participated in the study (51 females), with a mean age of 41.6 years. Participants achieved a median evaluation mode score of 480 points (IQR = 32 points). The experimental group (520 points) achieved an overall higher score than the control group (440 points; P = .04). Regarding age, women in the second quartile of age among the participants (35-41 years) achieved significantly better results than the rest (P = .04). When we evaluated the results based on the moment of practice, exercises performed in the last 10 min obtained better results than those performed in the first 10 min (1064 points versus 554 points; P < .001). Regarding adverse effects blurred vision was the most frequent. The overall satisfaction rating with the experience was 8.5 out of 10. CONCLUSION: Virtual reality is a useful tool for training operating room nurses. Clinical trial with ISRCTN16864726 registered number.

Quantification of Pneumothorax Volume on Chest X-Ray: A More Accurate Index Based On Measurements Made With 3D-printed Models.

PURPOSE: Owing to the extent of lung collapse estimated on chest radiograph it is still the complementary test most commonly used in the management of patients with pneumothorax. There are several indices to assess the extent of lung collapse. The objective of this study was to develop a more accurate index, using the 3D printing technology. MATERIALS AND METHODS: We created physical hemithorax models using 3D printing. In this way, we obtained simple radiographs of models for which the lung volume was known accurately. In the first part of the study, we estimated the intraobserver and interobserver agreement as well as the agreement between methods. We created 2 new indices and the results obtained with these; the Light index and the Collins method were compared with data on real lung volume loss using linear regression analysis and by calculating the coefficient of determination (r2). In the second part of the study, we validated the 4 equations, comparing the Light index, the Collins method, and the 2 new indices using regression analysis. For this analysis, we used STATA V14. RESULTS: Both intraobserver and interobserver agreements were very high (<0.9). The agreement between the Collins method and the Light index was poor, with a mean difference of 18.6%. The equation that best represented real lung collapse was the new equation 2. CONCLUSIONS: This study demonstrates the poor agreement between the Light index and Collins method for measuring the extent of lung collapse in pneumothorax and proposes a more accurate equation for this measurement based on a simple chest radiograph.