精神病院预警系统文件管理实施的因素分析

Nurul Mawaddah, Anndy Prastya, Bernadius Bogohanto
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引用次数: 0

摘要

早期预警系统(EWS)是一种快速识别患者病情恶化和预防不良事件的工具。然而,实现和文档并没有得到最佳的执行。本研究旨在分析玛琅某精神病院实施EWS档案的相关因素。方法:采用横断面设计的分析性观察研究。研究人群为该医院重症监护病房的所有护士,采用比例随机抽样技术,共抽样60名受访者。数据收集采用人口统计数据问卷、工作量问卷和观察表,通过医院管理信息系统对患者实施EWS记录。数据分析采用卡方检验。结果:EWS文档的实施与工作量和EWS培训显著相关(p<0.05)。EWS文件的执行情况与年龄、性别、受教育程度、服务年限、就业状况、工作班次无关(p>0.05)。结论:参加过EWS培训的轻工作量护士(100%)成功地制作了良好的文件。医院需要审查其在规划、开发和培养护理资源方面的管理,特别是在对精神病院护士进行公平的EWS监测的同时,提供持续的培训。
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Factor Analysis in the Implementation of Early Warning System Documentation in Psychiatric Hospitals
Introduction: An early warning system (EWS) is a tool to rapidly identify patient deterioration and prevent adverse events. However, the implementation and documentation have not been carried out optimally. This study aims to analyze factors related to the implementation of EWS documentation in a psychiatric hospital in Malang. Methods: The study was an analytical observational study with a cross-sectional design. The study population was all nurses in the intensive care unit of the hospital, with a total sample of 60 respondents selected using a proportional random sampling technique. Data collection used demographic data questionnaires, workload questionnaires, and observation sheets for the implementation of EWS documentation of patients through the hospital management information system. Analysis of the data used the chi-square test. Results: Implementation of EWS documentation was significantly related to workload and EWS training (p<0.05). Implementation of EWS documentation was not related to age, gender, education level, years of service, employment status, and work shift (p>0.05). Conclusion: Nurses with light workloads and who had attended EWS training created good documentation successfully (100%). Hospitals need to review their management in planning, developing, and fostering nursing resources, especially the provision of continuous training accompanied by equitable EWS monitoring for nurses in psychiatric hospitals.
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CiteScore
0.40
自引率
0.00%
发文量
40
审稿时长
5 weeks
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