Department of Pharmacy Practice, Sullivan University College of Pharmacy and Health Sciences, Louisville, KY, USA.
Pharmacy Practice, Northeast Ohio Medical University College of Pharmacy, Rootstown, OH, USA.
Am J Pharm Educ. 2023 May;87(5):100017. doi: 10.1016/j.ajpe.2022.09.002. Epub 2023 Mar 15.
The objective of this study was to characterize work engagement and burnout as well as potential demographic factors associated with each student and faculty member at 2 pharmacy programs in the US.
A survey including the Utrecht Work Engagement Scale-9 (UWES-9) and a single-item burnout measure was conducted from April to May 2020. Demographic data including age range, gender, and other characteristics were also collected. Mean UWES-9 scores, scoring category results, and the proportion of the cohorts reporting symptoms of burnout were reported. Point biserial correlation was used to compare the relationship between UWES-9 mean scores and burnout rates. Regression analyses were also performed to assess variables predictive of work engagement and burnout.
Students (N = 174) reported a mean UWES-9 score of 3.0 (SD = 1.1), while faculty members (N = 35) reported a mean of 4.5 (SD = 0.7). Over half (58.6%) of the students and 40% of faculty members reported symptoms of burnout. Faculty members demonstrated a strong significant negative correlation between work engagement and burnout (r = -0.35), while students did not (r = 0.04). Regression analyses found no significant demographic factors predictive of UWES-9 scores in students or faculty, while first year students were less likely to report burnout symptoms, and no significant factors for burnout were found in faculty.
Our study found that work engagement scores and burnout symptoms were inversely correlated in pharmacy faculty members surveyed but lacked correlation in students. Larger, more robust studies should be conducted to further elucidate the relationship between work engagement and burnout.
本研究旨在描述美国两所药学院学生和教师的工作投入和倦怠状况,并探讨与之相关的潜在人口统计学因素。
本研究于 2020 年 4 月至 5 月期间采用包括 Utrecht 工作投入量表-9(UWES-9)和单一倦怠测量项目在内的问卷调查方式进行,同时收集了人口统计学数据,包括年龄范围、性别和其他特征。报告了 UWES-9 的平均得分、评分类别结果以及报告倦怠症状的队列比例。点二列相关用于比较 UWES-9 平均得分与倦怠率之间的关系。还进行了回归分析,以评估对工作投入和倦怠有预测作用的变量。
学生(N=174)报告的 UWES-9 平均得分为 3.0(SD=1.1),而教师(N=35)的平均得分为 4.5(SD=0.7)。超过一半(58.6%)的学生和 40%的教师报告有倦怠症状。教师的工作投入与倦怠之间呈显著负相关(r=-0.35),而学生则无此相关性(r=0.04)。回归分析发现,学生或教师中没有显著的人口统计学因素可以预测 UWES-9 得分,而一年级学生报告倦怠症状的可能性较低,在教师中也未发现与倦怠相关的显著因素。
我们的研究发现,参与调查的药学教师的工作投入得分和倦怠症状呈负相关,但在学生中缺乏相关性。应进行更大规模、更稳健的研究,以进一步阐明工作投入和倦怠之间的关系。