Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data from 2015 to 2020.

IF 3.9 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Frontiers of Medicine Pub Date : 2023-08-01 Epub Date: 2023-04-15 DOI:10.1007/s11684-022-0970-x
Longxiang Su, Xudong Ma, Sifa Gao, Zhi Yin, Yujie Chen, Wenhu Wang, Huaiwu He, Wei Du, Yaoda Hu, Dandan Ma, Feng Zhang, Wen Zhu, Xiaoyang Meng, Guoqiang Sun, Lian Ma, Huizhen Jiang, Guangliang Shan, Dawei Liu, Xiang Zhou
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引用次数: 1

Abstract

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.

ICU评估和质量控制指标权重:基于2015-2020年中国ICU质量数据的探索性研究。
本研究旨在探讨六年来(2015-2020年)影响中国大陆重症监护室(ICU)患者预后的关键质量控制因素。本研究的数据来自31家省市医院(3425家医院ICU),包括2110685名ICU患者,总计27607376天的ICU住院天数。我们发现,15个最初建立的质量控制指标是患者预后的良好预测指标,包括ICU患者占所有住院患者的百分比(%)、ICU床位占用占总住院床位占用的百分比(百分比)、APACHE II评分为15的所有ICU住院患者的比例(%),6小时SSC束依从性(%),抗生素前微生物检测率(%)、药物预防性深静脉血栓形成(DVT)的百分比(%)和计划外气管内拔管的百分比(百分比)、48小时内重新插管的患者百分比(%,导管相关血流感染(CRBSI)(每1000导管天)、导管相关尿路感染(CAUTI)(每千导管天)和住院死亡率(%)。当应用探索性因素分析时,15个指标被分为6个核心要素,这些要素在质量评估方面的权重各不相同:医院感染管理(21.35%)、遵守脓毒症生存运动指南(17.97%)、ICU资源(17.46%)、气道管理(15.53%)、预防深静脉血栓形成(14.07%),基于与15个指标相关的核心要素的不同权重,我们开发了一个综合质量评分系统,定义为F评分=2.35%x社区感染管理+17.97%x符合SSC指南+17.46%×ICU资源+15.53%×气道管理+14.07%×DVT预防+13.61%×患者病情严重程度。这种基于证据的质量评分系统将有助于评估质量管理的关键要素,并为进一步优化质量控制指标体系奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers of Medicine
Frontiers of Medicine ONCOLOGYMEDICINE, RESEARCH & EXPERIMENTAL&-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
18.30
自引率
0.00%
发文量
800
期刊介绍: Frontiers of Medicine is an international general medical journal sponsored by the Ministry of Education of China. The journal is jointly published by the Higher Education Press and Springer. Since the first issue of 2010, this journal has been indexed in PubMed/MEDLINE. Frontiers of Medicine is dedicated to publishing original research and review articles on the latest advances in clinical and basic medicine with a focus on epidemiology, traditional Chinese medicine, translational research, healthcare, public health and health policies.
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