The Use of Human Simulation to Teach Acute Care Skills in a Cardiopulmonary Course: A Case Report
The Use of Human Simulation to Teach Acute Care Skills in a Cardiopulmonary Course: A Case Report
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使用人体模拟教授心肺课程中的急救技能:案例报告
DOI:
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发表时间:
2014
期刊:
影响因子:
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通讯作者:
C. Ennulat
中科院分区:
文献类型:
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作者:
M. Bednarek;P. Downey;Ann Williamson;C. Ennulat
Background and Purpose. Although not new to health care education, the use of high‐fidelity simulation (HFS) is relatively new in physical therapist education. This technology has the potential to be beneficial in educating physical therapist students in the evaluation and treatment of patients in the complex acute care setting. The purpose of our case report was to illustrate how a physical therapist education program at a small university, previously without access to HFS, was able to partner with a local simulation center and integrate 3 simulation lab experiences into a cardiovascular and pulmonary course. Case Description. Twenty‐eight students participated in 3 simulation scenarios in the Fall 2011 semester, each including a subsequent faculty‐led debriefing. The patient in each scenario had a different medical diagnosis with scenarios ranging in complexity. Students self‐assessed their confidence and interest in examining and treating patients in an acute care setting, identifying medical equipment, interpreting physiological information, and responding to changes in physiological status both at the beginning and the end of the cardiopulmonary course. Outcomes. Students demonstrated increased confidence levels and interest in acute care at the end of the course as compared to the beginning. Themes derived from analyses of student comments after simulations revealed that students perceived gains in clinical experience/exposure, and the ability to modify examination and treatment of acute care patients. Discussion and Conclusion. The incorporation of HFS into a cardiopulmonary course proved beneficial. Areas for future study should identify whether the increase in confidence and interest translates to improved performance in the clinical setting and, if so, discover the optimal number and duration of simulation experiences necessary to achieve this improvement.