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Based on investigator's hypothesis, that incorporating the SBAR worksheet into the training of undergraduate Nursing students will increase their capacity to work in an interdisciplinary team, the investigators will assess whether introducing the SBAR improves the students' knowledge of their own role and that of others on the team (medical students), strengthens communication between team members, and enhances the quality of the patient assessment and interventions demonstrated by the nursing students caring for a critical patient (represented by a high-fidelity mannequin, a Human Patient Simulator).
Full description
Students assigned to the intervention group will receive one hour of additional training in teamwork skills, communication between team members, and the relationship with patient safety, as well as how to distribute roles and responsibilities and how to use the SBAR worksheet. They will not be given the materials used to present the training session (PowerPoint slides, videos, and the SBAR worksheet) in order to avoid their sharing this information directly with students in the control group.
Training provided the Intervention Group
On a day when clinical practice is scheduled, according to the 2014-2015 academic year, the students will report to the simulation laboratory. All students in both study arms will participate in a simulated scenario, with cases validated by the National League for Nursing, in a setting that mimics an emergency department with a critical patient (HPS) in a state of shock. Three nursing students and a medical student will intervene in each scenario. If the scenario requires an additional intervention to guide the students or redirect situations that reach an impasse, a professor will be prepared to take on the role of an emergency room physician or nursing supervisor.
Students who do not receive the complementary training (i.e., the control group) will be directed to a different laboratory than the intervention group while they wait to be called for their participation in the simulated scenario.
Ten minutes before beginning the scenario, each group (control and intervention) will receive the documents corresponding to the simulated patient's clinical history. Students in the intervention group will also have a printed SBAR worksheet, which they will be familiar with because of the complementary training. This worksheet will be mixed with the documents related to the patient's clinical history so that the professors participating in the scenario and those doing the evaluation will not be readily able to identify which study arm in participating in a given scenario.
A professor will randomize the scenarios, following the codes delivered in sealed envelopes and that were previously assigned a number directly linked to the corresponding study arm (intervention, control). The envelopes will be kept in a locked box in the simulation laboratory, and will be opened each day of clinical practice by a professor not involved in the study.
Sample size To calculate the necessary sample, we considered the difference in medians observed in a previous study in the same population (Raurell-Torredà M, Olivet-Pujol J, Romero-Collado A, Malagon-Aguilera MC, Patiño-Masó, J, Baltasar-Bagué A. Case-based learning and simulation: useful tools to enhance nurses' education? Non-randomized controlled trial". J Nurs Scholarsh. 2014, Oct 25. doi: 10.1111/jnu.12113). The standardized median difference was 0.9 points. With the aim of obtaining the same difference in the present study, accepting an alpha risk of 0.05 and beta risk less than 20% in a two-tailed test, the estimated sample size 21 scenarios in each arm of the study.
Statistical analysis Qualitative variables will be expressed as frequency and percentage, using the Chi square or Fisher test to compare groups, as appropriate. Quantitative variables will be shown mean and standard deviation (SD) or median and interquartile range (P25-P75), depending on the normality of the distribution, and groups will be compared using Student t or Mann-Whitney U test, respectively. A P-value <0.05 will be considered significant. All analyses will be done using IBM SPSS Statistics (IBM Statistics®, Markham, ON, Canada).
Given the impossibility of predicting how students who do not participate in the simulation would have behaved, losses to follow-up will be managed per protocol rather than intention to treat.
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93 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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