Association between nurse staffing level in intensive care settings and hospital-acquired pneumonia among surgery patients: result from the Korea National Health Insurance cohort.

IF 2.5 4区 医学 Q3 INFECTIOUS DISEASES Epidemiology and Infection Pub Date : 2024-02-08 DOI:10.1017/S0950268824000232
Yu Shin Park, Il Yun, Suk-Yong Jang, Eun-Cheol Park, Sung-In Jang
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Abstract

This study examined the association between the number of nursing staff in intensive care units (ICUs) and hospital-acquired pneumonia (HAP) among surgical patients in South Korea. Data were obtained between 2008 and 2019 from the Korean National Health Insurance Service Cohort Database; 37,706 surgical patients who received critical care services were included in the analysis. Patients with a history of pneumonia 1 year prior to surgery or those who had undergone lung-related surgery were excluded. The ICU nursing management fee is an admission fee that varies based on the grading determined by nurse-to-bed ratio. Using this grading system, we classified four groups from the highest to the lowest level based on the proportion of beds to nurses (high, high-mid, mid-low, and low group). HAP was defined by the International Classification of Disease, 10th revision (ICD-10) code. Multilevel logistic regression was used to investigate the relationship between the level of ICU nurse staffing and pneumonia, controlling for variables at the individual and hospital levels. Lower levels of nurse staffing were associated with a greater incidence of HAP than higher levels of nurse staffing (mid-high, OR: 1.33, 95% CI: 1.12-1.57; mid-low, OR: 1.61, 95% CI: 1.27-2.04; low, OR: 2.13, 95% CI: 1.67-2.71). The intraclass correlation coefficient value was 0.177, and 17.7% of the variability in HAP was accounted for by the hospital. Higher ICU nursing management fee grades (grade 5 and above) in general and hospital settings were significantly associated with an increased risk of HAP compared to grade 1 admissions. Similarly, in tertiary hospitals, grade 2 and higher ICU nursing management fees were significantly associated with an increased risk of HAP compared to grade 1 admissions. Especially, a lower level of nurse staffing was associated with bacterial pneumonia but not pneumonia due to aspiration. In conclusion, this study found an association between the level of ICU nurse staffing and HAP among surgical patients. A lower level of nurse staffing in the ICU was associated with increased rates of HAP among surgical patients. This indicates that having fewer beds assigned to nurses in the ICU setting is a significant factor in preventing HAP, regardless of the size of the hospital.

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重症监护室护士配置水平与外科手术患者医院获得性肺炎之间的关系:韩国国民健康保险队列的结果。
本研究探讨了重症监护室(ICU)护理人员数量与韩国外科手术患者医院获得性肺炎(HAP)之间的关系。研究数据来自韩国国民健康保险服务队列数据库(Korean National Health Insurance Service Cohort Database),时间跨度为 2008 年至 2019 年,分析对象包括 37706 名接受重症监护服务的手术患者。手术前1年有肺炎病史或接受过肺部相关手术的患者被排除在外。重症监护室护理管理费是一种入院费用,根据护士与床位比例确定的分级而有所不同。利用这一分级系统,我们根据床位与护士的比例从高到低分为四组(高组、中高组、中低组和低组)。HAP以国际疾病分类第十版(ICD-10)代码定义。在控制个人和医院层面变量的情况下,采用多层次逻辑回归法研究重症监护病房护士配置水平与肺炎之间的关系。与较高的护士配置水平相比,较低的护士配置水平与更高的 HAP 发生率相关(中高,OR:1.33,95% CI:1.12-1.57;中低,OR:1.61,95% CI:1.27-2.04;低,OR:2.13,95% CI:1.67-2.71)。类内相关系数为 0.177,医院占 HAP 变异的 17.7%。与 1 级入院相比,综合医院和医院 ICU 护理管理费等级越高(5 级及以上),发生 HAP 的风险就越大。同样,在三级医院,与一级医院相比,二级及以上 ICU 护理管理费与 HAP 风险增加显著相关。特别是,较低水平的护士配置与细菌性肺炎有关,但与吸入性肺炎无关。总之,本研究发现重症监护室护士配置水平与手术患者的 HAP 存在关联。重症监护室护士配置水平较低与手术患者的 HAP 发生率增加有关。这表明,无论医院规模大小,在重症监护室环境中为护士分配较少的床位是预防 HAP 的一个重要因素。
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
Epidemiology and Infection
Epidemiology and Infection 医学-传染病学
CiteScore
4.10
自引率
2.40%
发文量
366
审稿时长
3-6 weeks
期刊介绍: Epidemiology & Infection publishes original reports and reviews on all aspects of infection in humans and animals. Particular emphasis is given to the epidemiology, prevention and control of infectious diseases. The scope covers the zoonoses, outbreaks, food hygiene, vaccine studies, statistics and the clinical, social and public-health aspects of infectious disease, as well as some tropical infections. It has become the key international periodical in which to find the latest reports on recently discovered infections and new technology. For those concerned with policy and planning for the control of infections, the papers on mathematical modelling of epidemics caused by historical, current and emergent infections are of particular value.
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