Methods: A simulation was created in which three different cohorts of undergraduate nursing students provided care for a critically ill patient and his family whose rapidly declining condition results in the decision to withdraw care. The simulation consisted of four parts: continuation of care for a stable patient in critical care, assessment and communication with physician regarding a change in status, withdrawal of care, and a final cumulative debriefing. A pretest–posttest design compared perceived competence and attitudes in caring for dying patients with students performing the simulation.
Results/Findings: After the simulation, the cohorts had significantly improved scores on the perceived competence (p < .001) and attitude (p < .01) measures. Reliability for a new instrument to assess perceived competence in caring for dying patients, Perceived Competence in Meeting ELNEC Standards, was established, rdiff = .93 (pretest Cronbach’s α = .94, posttest Cronbach’s α = .93, and r= .04). Factor analysis of the PC-ELNEC showed that the first component accounted for 53 percent of the variance, suggesting that the measure can be considered a unidimensional construct.
Conclusions: All three cohorts had improved competence, and two cohorts had improved attitudes toward caring for dying patients after completing the end-of-life simulation. Students also expressed positive comments following the simulation, particularly highlighting how useful the simulation was in providing them with the opportunity to care for a dying patient before entering professional practice. The outcomes of this study indicate that the simulation is robust in improving students’ perceived competence and attitudes about caring for dying patients. The simulation seems to have achieved its objective of providing students with a safe, real-world-like experience to explore attitudes and perceived competence about caring for dying patients.
Acknowledgement: Thank you to Scott Hudson, Sharon Carter, and Raquel Reynolds for their support in running this simulation. Special acknowledgement is also given to G. Kay Pfitzinger for her Excel expertise and verification of data accuracy.
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