Traditional Poster Round
Background: : The majority of tasks nurses complete in acute care settings are time-sensitive. Due to the complex healthcare needs of hospitalized patients, nurses’ multitasking behavior is of growing importance1. Multitasking is inextricably linked to how individuals react to and regard time. Multitasking situations in nursing typically require nurses to switch their attention among multiple tasks and patients in a fairly rapid manner. The ability of novice nurses to accurately multitask has a great impact on patient outcomes because large numbers of novice nurses enter the workforce annually. Given that novice nurses commit errors related to multitasking, it is necessary to evaluate the relationship between temporal individual differences and multitasking behaviors in a simulation setting. This research expands on participant characteristics (temporal individual differences) and adds new knowledge about how temporal individual differences influence multitasking, which represents participant outcomes in the NLN Jeffries Simulation Theory (Figure)2. Previous research has evaluated multitasking in simulation as a participant outcome3,4, and one study examined the relationship between self-efficacy and multitasking5.
Research Question: : What are the relationships between temporal individual differences, demographic factors, and nursing students’ multitasking behaviors with simulation as the investigational method? We hypothesized that participants who were more time urgent, polychronic, and future oriented would demonstrate more multitasking behaviors.
Methodology: : This was a one-group, descriptive, pre- and posttest design to evaluate the relationship between multitasking (DV), demographic factors (IV) and temporal individual differences (IV). 81 novice nurses completed the protocol. To evaluate multitasking, participants completed two 45-minute simulations involving care of three high-fidelity Gaumard manikins in an acute care simulation setting at the beginning of a shift. One rater scored each participant using the Creighton Simulation Evaluation Instrument (CSEI), and the PI evaluated interrater reliability by scoring 10% of the sample and calculating a Kappa statistic. To evaluate temporal individual differences, participants completed a valid and reliable survey before simulation. A statistician performed analysis by aggregating multitasking scores on the CSEI, including change in multitasking over time, and using Spearman’s rho correlations to examine the strength of associations between temporal individual differences and multitasking. Further, we used OLS regression to calculate how much variance temporal individual differences and demographic variables explained in multitasking.
Results: : There is a small correlation between flexible thinking and multitasking (rho=0.17). Neither temporal individual differences nor demographic factors explain significant variance in multitasking behaviors. Multitasking preference is not correlated with multitasking behavior (rho= -0.07).
Discussion/Conclusions: : Though there are not linear relationships between temporal individual differences and multitasking, it is prudent to look for curvilinear effects. We will continue this project to extend the sample size, examine mediating temporal individual differences, and to represent multitasking in subscales of the CSEI. There is potential measurement error related to social desirability n the surveys and related to the CSEI as an indirect measure of multitasking.