■医院必须在灾难期间和之后保持有效的运营。由于目前灾害的增加,医院的复原力已经引起了学术界的关注。本研究旨在回顾关于COVID-19后医院弹性定义变化的研究,建立一个仔细测量的概念框架,并确定COVID-19大流行期间强调的医院韧性的主要维度。
这项研究的初始阶段是对COVID-19大流行前发表的文章进行系统回顾,以提取第二阶段与医院复原力相关的维度。第二阶段涉及在COVID-19出现之前和之后发表的文本挖掘文章。
■在系统审查阶段,从2006年到2020年1月,搜索了12个数据库,包括Scopus,WebofScience,MEDLINE通过PubMed,Embase,ERIC,ProQuest,Cochrane图书馆,翡翠,Springer,科学直接/ELSEVier,谷歌学者,和SID(波斯语文件)。然后,在COVID-19之后,使用文本挖掘对2020年1月至2022年5月在这些数据库中发表的文章进行了评估.
■在系统阶段,在COVID-19之前发表的1530篇论文中,有17篇被合成以收集医院抗灾能力的组成部分。这些确定的组件是文本挖掘阶段的输入。对COVID前论文的文本挖掘产生了六个集群,权重最高(0.65)属于一般复原力和备灾,在后COVID文本挖掘阶段,包括70篇论文,已经确定了8个集群,权重最高的聚类(0.78)集中在医护人员的心理和心理弹性方面。
■在COVID大流行之后,学术界的注意力已经转移到医院韧性的更个人层面,包括心理弹性。决策者似乎有必要更多地关注医院工作人员的个人和心理弹性。
UNASSIGNED: Hospitals must maintain their effective operations during and after disasters. Due to the current increase in disasters, hospital resilience has drawn scholarly attention. This study aimed to review studies on the changes in the definition of hospital resilience after COVID-19, build a conceptual framework for careful measurement, and identify the main dimensions of hospital resilience emphasized during the COVID-19 pandemic.
UNASSIGNED: The initial phase of this study was a systematic review of articles published before the COVID-19 pandemic to extract the hospital resilience-related dimensions for the second phase. The second phase involved text-mining articles published both before and after the emergence of COVID-19.
UNASSIGNED: In the systematic review phase, 12 databases were searched from 2006 to January 2020, including Scopus, Web of Science, MEDLINE through PubMed, Embase, ERIC, ProQuest, the Cochrane Library, Emerald, Springer, Science Direct/ELSEVIER, Google Scholar, and SID (for Persian language papers). Then, after COVID-19, articles published in these databases between January 2020 and May 2022 were evaluated using text mining.
UNASSIGNED: During the systematic phase, 17 out of 1530 papers published before COVID-19 were synthesized to collect components of hospital disaster resilience. These identified components were the inputs for the text-mining phase. The text mining on pre-COVID papers resulted in six clusters, with the highest weight (0.65) belonging to general resilience and disaster
preparedness, while in the post-COVID text mining phase, including 70 papers, 8 clusters have been identified, with the highest weight cluster (0.78) focusing on the mental and psychological aspects of resilience among healthcare workers.
UNASSIGNED: Following the COVID pandemic, scholarly attention has shifted to the more personal dimensions of hospital resilience, including psychological resiliency. It seems necessary for policymakers to focus more on the individual and psychological resilience of hospital staff.