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实施电子国家早期预警系统以降低三级医疗中心住院患者的临床恶化程度。

Implementation of an Electronic National Early Warning System to Decrease Clinical Deterioration in Hospitalized Patients at a Tertiary Medical Center.

机构信息

Department of Critical Care Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan.

Department of Automatic Control Engineering, Feng Chia University, Taichung 40724, Taiwan.

出版信息

Int J Environ Res Public Health. 2021 Apr 25;18(9):4550. doi: 10.3390/ijerph18094550.

DOI:10.3390/ijerph18094550
PMID:33922991
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8123282/
Abstract

The National Early Warning Score (NEWS) is an early warning system that predicts clinical deterioration. The impact of the NEWS on the outcome of healthcare remains controversial. This study was conducted to evaluate the effectiveness of implementing an electronic version of the NEWS (E-NEWS), to reduce unexpected clinical deterioration. We developed the E-NEWS as a part of the Health Information System (HIS) and Nurse Information System (NIS). All adult patients admitted to general wards were enrolled into the current study. The "adverse event" (AE) group consisted of patients who received cardiopulmonary resuscitation (CPR), were transferred to an intensive care unit (ICU) due to unexpected deterioration, or died. Patients without AE were allocated to the control group. The development of the E-NEWS was separated into a baseline (October 2018 to February 2019), implementation (March to August 2019), and intensive period (September. to December 2019). A total of 39,161 patients with 73,674 hospitalization courses were collected. The percentage of overall AEs was 6.06%. Implementation of E-NEWS was associated with a significant decrease in the percentage of AEs from 6.06% to 5.51% ( = 0.001). CPRs at wards were significantly reduced (0.52% to 0.34%, = 0.012). The number of patients transferred to the ICU also decreased significantly (3.63% to 3.49%, = 0.035). Using multivariate analysis, the intensive period was associated with reducing AEs ( = 0.019). In conclusion, we constructed an E-NEWS system, updating the NEWS every hour automatically. Implementing the E-NEWS was associated with a reduction in AEs, especially CPRs at wards and transfers to ICU from ordinary wards.

摘要

国家早期预警评分(NEWS)是一种预测临床恶化的预警系统。NEWS 对医疗保健结果的影响仍存在争议。本研究旨在评估实施电子版 NEWS(E-NEWS)以减少意外临床恶化的有效性。我们将 E-NEWS 开发为健康信息系统(HIS)和护士信息系统(NIS)的一部分。所有入住普通病房的成年患者均纳入本研究。“不良事件”(AE)组包括因意外恶化而接受心肺复苏(CPR)、转至重症监护病房(ICU)或死亡的患者。无 AE 的患者被分配到对照组。E-NEWS 的开发分为基线期(2018 年 10 月至 2019 年 2 月)、实施期(2019 年 3 月至 8 月)和强化期(2019 年 9 月至 12 月)。共收集了 39161 名患者的 73674 次住院疗程。总体 AE 的百分比为 6.06%。实施 E-NEWS 后,AE 的百分比从 6.06%降至 5.51%( = 0.001),显著下降。病房内的 CPR 明显减少(从 0.52%降至 0.34%, = 0.012)。转至 ICU 的患者人数也显著减少(从 3.63%降至 3.49%, = 0.035)。多变量分析显示,强化期与减少 AE 相关( = 0.019)。总之,我们构建了一个 E-NEWS 系统,每小时自动更新 NEWS。实施 E-NEWS 与 AE 减少相关,特别是病房内的 CPR 和从普通病房转至 ICU。

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本文引用的文献

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The impact of introducing the early warning scoring system and protocol on clinical outcomes in tertiary referral university hospital.引入早期预警评分系统和方案对三级转诊大学医院临床结局的影响。
Ther Clin Risk Manag. 2018 Oct 23;14:2089-2095. doi: 10.2147/TCRM.S175092. eCollection 2018.
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用于提高住院患者早期预警系统性能的新型机器学习模型:一项回顾性多中心交叉验证研究。
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