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1.
Front Med (Lausanne) ; 11: 1371075, 2024.
Article in English | MEDLINE | ID: mdl-38566920

ABSTRACT

Objective: To investigate the use of a virtual reality learning environment (VRLE) to enhance medical student knowledge of postpartum hemorrhage (PPH) emergency management and insertion of a postpartum balloon. Methods: A randomized control trial involving medical students from University College Dublin, Ireland. Participants were randomly allocated to the intervention group (VRLE tutorial) or control group (PowerPoint tutorial on the same topic). All participants completed pre-learning experience and post-learning experience surveys. Both groups were timed and assessed on postpartum balloon insertion technique on a model pelvis. The primary outcome was assessment of student knowledge. Secondary outcomes included confidence levels, time taken to complete the task, technique assessment, satisfaction with the learning environment, and side effects of VR. Results: Both learning experiences significantly (p < 0.001) enhanced student performance on the post-learning experience multiple choice questionnaire, with no difference between the intervention and control groups. In the intervention group, time for task completion was significantly less compared to the control group (1-2 min vs. 2-3 min, p = 0.039). Both learning experiences significantly (p < 0.001) enhanced student confidence, with no significant difference between intervention and control groups. 100% of the students using the VRLE enjoyed the experience, and 82.4% were very likely to recommend use of VRLE in medical education. 94.1% of the students felt the VRLE was beneficial over didactic teaching. Conclusion: Receiving formal instruction, regardless of format, enhances students' knowledge and confidence of the topic covered. Students who received instruction via the VRLE assembled the postpartum balloon faster than students who received didactic teaching. VR may be beneficial in teaching hands-on procedural skills in obstetrics and gynecology education.

2.
Eur J Emerg Med ; 20(4): 230-9, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23510897

ABSTRACT

The objective of this study was to assess the predictive ability of the Triage Risk Stratification Tool (TRST) in identifying older adults at risk of adverse outcomes [return to emergency department (ED), hospitalization, or a composite outcome] within 30 and 120 days following discharge from ED. A systematic search was conducted to identify studies validating the TRST in older adults aged at least 65 years discharged from ED. The methodological quality of selected studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A score of at least 2 was used to identify high-risk patients. A bivariate random effects model was applied to generate pooled estimates of sensitivity and specificity. The discriminative ability of the tool was assessed using the c statistic. Heterogeneity was assessed graphically and statistically using the variance of the logit-transformed sensitivity and specificity. Six studies (3233 patients) were included. With a cutoff of at least 2, the pooled sensitivity of the TRST for a composite outcome at 30 days was 0.58 (95% confidence interval 0.52-0.65), the specificity was 0.61 (95% confidence interval 0.58-0.64). Similar values were obtained for the composite outcome at 120 days and the individual outcomes at both timepoints. The c statistic was consistently low across the outcomes and timepoints. There was little heterogeneity across studies. In conclusion, the TRST is limited in its ability to discriminate between older adults with or without an adverse outcome following discharge from ED. The low levels of heterogeneity gives us confidence that the pooled estimates reflect the predictive ability of the TRST in clinical practice.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Risk Assessment/methods , Triage/methods , Aged , Bayes Theorem , Decision Support Techniques , Humans , Reproducibility of Results , Risk Assessment/standards , Sensitivity and Specificity , Triage/standards
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