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运用 Rasch Wright 映射分析新冠疫情期间及前后医院员工满意度。

Using Rasch Wright map to identify hospital employee satisfaction during and before COVID-19.

机构信息

Department of Planning and Management, Chi Mei Medical Center, Taiana, Taiwan.

Department of Marketing and Logistics Management, Southern Taiwan University of Science and Technology, Tainan, Taiwan.

出版信息

Medicine (Baltimore). 2023 Dec 22;102(51):e36490. doi: 10.1097/MD.0000000000036490.

DOI:10.1097/MD.0000000000036490
PMID:38134069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10735066/
Abstract

During the surge of the COVID-19 outbreak, medical personnel attended to countless patients, which adversely affected their mental well-being. To support their staff, hospitals implemented guidelines that focused on promoting mental health among medical professionals. The hypothesis that employee satisfaction declined during the COVID-19 pandemic needs confirmation. Several findings were derived from a series of visualizations using Rasch Wright map. The research sample was taken from a medical center in southern Taiwan based on satisfaction survey data from 2017 to 2022 (n = 1222). Perceptions on job satisfaction perceptions during and prior to COVID-19 in 2 stages of 2017 to 2019 and 2020 to 2022 were compared using Rasch Wright map. Through a series of visualizations, including the dimension with the highest satisfaction, the demographical category of hospital employees with the lowest satisfaction during the pandemic, and Rasch Wright map displaying employs' perfections on 4 domains over years. The results indicated: Employee satisfaction was significantly lower during the COVID-19 period in 2 domains: compensation and benefits, work atmosphere; among the 23 questions, Question 5 (regarding meals provided by the hospital to staff) scored the lowest, while Question 23 (regarding the hospital emergency response and disaster prevention capabilities) scored the highest. Among the 4 domains, organizational leadership had the highest satisfaction; out of 104 demographic variables, 21 groups showed that employee satisfaction during the pandemic was significantly (P < .05) lower than before the pandemic; the selection of specific demographic variables is for top-tier supervisors, and they showed that employee satisfaction during the pandemic was significantly (P < .05) lower than before the pandemic across all 4 dimensions. Therefore, this study accepts the hypothesis that employee satisfaction was negatively affected during the COVID-19 period on 2 domains only: compensation and benefits, work atmosphere. The study visual examination, especially using Rasch Wright map, offers a comparative perspective on hospital staff satisfaction and serves as a methodological guide for subsequent satisfaction research.

摘要

在 COVID-19 疫情高峰期,医务人员照顾了无数患者,这对他们的心理健康产生了不利影响。为了支持员工,医院实施了专注于促进医疗专业人员心理健康的指导方针。员工满意度在 COVID-19 大流行期间下降的假设需要确认。从使用 Rasch Wright 地图进行的一系列可视化中得出了一些发现。研究样本来自台湾南部的一家医疗中心,基于 2017 年至 2022 年的满意度调查数据(n=1222)。使用 Rasch Wright 地图比较了 COVID-19 前后两个阶段(2017 年至 2019 年和 2020 年至 2022 年)对工作满意度的看法。通过一系列可视化,包括满意度最高的维度、大流行期间医院员工中满意度最低的人口统计学类别,以及 Rasch Wright 地图显示员工多年来对 4 个领域的完美程度。结果表明:在 COVID-19 期间,有两个领域的员工满意度显著降低:薪酬和福利、工作氛围;在 23 个问题中,问题 5(关于医院向员工提供的膳食)得分最低,而问题 23(关于医院的应急响应和防灾能力)得分最高。在 4 个领域中,组织领导力的满意度最高;在 104 个人口统计学变量中,有 21 个组表明大流行期间员工的满意度明显(P<0.05)低于大流行前;选择特定的人口统计学变量是为了顶级主管,他们表明大流行期间员工的满意度明显(P<0.05)低于大流行前所有 4 个维度。因此,本研究接受了 COVID-19 期间员工满意度在薪酬和福利、工作氛围两个领域受到负面影响的假设。本研究的视觉检查,特别是使用 Rasch Wright 地图,提供了医院员工满意度的比较视角,并为后续的满意度研究提供了方法学指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/39c26c396def/medi-102-e36490-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/4eae6424d58b/medi-102-e36490-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/8dfa170b71bd/medi-102-e36490-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/56327fdbe7c5/medi-102-e36490-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/d6f3b32d9c5b/medi-102-e36490-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/686f6f164f61/medi-102-e36490-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/39c26c396def/medi-102-e36490-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/4eae6424d58b/medi-102-e36490-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/2ed3bd00698f/medi-102-e36490-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/4c8eb60800bf/medi-102-e36490-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/8dfa170b71bd/medi-102-e36490-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/56327fdbe7c5/medi-102-e36490-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/d6f3b32d9c5b/medi-102-e36490-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/686f6f164f61/medi-102-e36490-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e632/10735066/39c26c396def/medi-102-e36490-g008.jpg

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