2022年4月我校多学科麻醉重症监护门诊排队管理研究

C. P. Makoutodé, T. Nougbode, C. Sossa-Jérôme, G. Sopoh
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摘要

目标:重症监护病房(ICU)住院床位的持续供应是卫生系统复原力的一部分,特别是在紧急情况下,即在公共卫生方面。本研究旨在评估2022年3 - 4月贝宁休伯特库图库马加国立医院和大学中心(CNHU-HKM) ICU住院候诊队列的管理情况。方法:采用横断面分析方法,于2022年3月21日至4月15日对住院患者或其家属和工作人员分别进行方便选择和合理选择。采用逻辑回归方法确定与队列管理相关的因素。结果:共调查55例患者。每日18张功能床住院13±1例,入院3±1例,出院3±1例。平均床位入住率为89.8%±3.8%;就诊前平均等待时间为3.6±1.2分钟,交通强度为0.03。每小时有病人的几率是33.29%,而床位被占用的几率是97%。住院病人在那里待上整整一周的概率是37%。只有患者到达流量与排队管理不足显著相关。医院也缺少住院床位和技术委员会。新建两个病房和增加七张床位可以改善排队管理。结论:本研究区房颤的管理主要取决于每日到达的患者流量,还取决于可用病床数量、工作组织和现有的技术和结构措施。处理这些参数将大大改善这种情况。
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Queuing management study at the Multidisciplinary Anesthesia and Intensive Care Clinic of CNHU-HKM in April 2022
Objective: Constant availability of inpatient beds in an intensive care unit (ICU) is part of the resilience of health systems, especially in an emergency context, namely in public health. This study aims to appraise the management of inpatient waiting lines in the ICU of Hubert Koutoukou Maga National Hospital and University Center (CNHU-HKM) in Benin, in March-April 2022.Methods: This was an analytic cross-sectional study of inpatients or their relatives and staff, selected by convenience and reasoned choice, respectively, carried out from March 21 to April 15, 2022. Logistic regression was used to identify associated factors with queues management.Results: Altogether 55 patients were surveyed. On a daily basis, 13 ± 1 patients were hospitalized in 18 functional beds for 3 ± 1 admissions and 3 ± 1 discharges. The average bed occupancy rate was 89.8% ± 3.8%; the average waiting time before patient care was 3.6 ± 1.2 minutes and the traffic intensity were 0.03. Per hour, the odds of having a patient were 33.29%, with a 97% chance of a bed being occupied. The probability that an admitted patient would spend a whole week there was 37%. Only patient arrival flow was significantly associated with insufficient queuing management. There was also a lack of inpatient beds and technical boards. The construction of two wards and the installation of seven additional beds could improve queues management.Conclusions: The management of AF in our study site depends mainly on the daily flow of arriving patients, but also on the number of available hospital beds, the working organization and the existing technical and structural measures. Addressing these parameters will significantly improve the situation.
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