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新冠疫情期间儿科重症监护病房护士人员配置措施与患者预后

Pediatric Intensive Care Nurse Staffing Measures and Patient Outcomes During the COVID-19 Pandemic.

作者信息

Taylor Warren Michael, Pelletier Jonathan, Heneghan Julia A, Ramgopal Sriram, Toth Kelly M, Prout Andrew, Woeltje Maeve, Butler Gabriella, Fabio Anthony, Evans Idris, Brilli Richard, Kochanek Patrick K, Clark Robert S B, Horvat Christopher M

机构信息

UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.

Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.

出版信息

JAMA Netw Open. 2025 Jun 2;8(6):e2515376. doi: 10.1001/jamanetworkopen.2025.15376.

Abstract

IMPORTANCE

During the COVID-19 pandemic, pediatric intensive care units (PICUs) reportedly relied more on temporary contract nurses hired through staffing agencies (agency nurses) to fill gaps related to increased nurse turnover. It is unknown whether these changes in nurse staffing were associated with patient outcomes.

OBJECTIVE

To determine whether the proportion of PICU agency staff or nurse turnover was associated with patient outcomes during the pandemic.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective, multicenter, linked database cross-sectional study was performed at PICUs in the US between January 1, 2019, and December 31, 2022. Participants included patients younger than 19 years admitted to a PICU with data in both the Children's Hospital Association Pediatric Health Information Systems and PROSPECT Hospital Essentials databases. Data were analyzed from March 15, 2023, to August 1, 2024.

EXPOSURE

The yearly proportion of agency nurses and nurse turnover.

MAIN OUTCOMES AND MEASURES

Descriptive characteristics were examined for PICUs grouped by the median proportion of agency nurses or nursing turnover each year. A variable staffing metric was defined as greater than 10% change in the proportion of agency nurses from the intrahospital baseline in 2019. Multivariable negative binomial models controlling for illness severity and hospital effect with median yearly staffing metrics examined whether the proportion of agency nurses or nurse turnover was associated with mortality, PICU complications, central line-associated bloodstream infections, or ventilator-associated pneumonias.

RESULTS

There were 218 789 admissions across 20 PICUs, with a median patient age of 45 (IQR, 9-138) months (119 997 [54.8%] male). PICUs with a variable proportion of agency nurses had significantly more patients with PICU complications (9695 of 120 017 [8.1%] vs 7141 of 98 772 [7.2%]; P < .001). Multivariable analysis indicated an increase of 19 (95% CI, 7-39) ventilator-associated pneumonias per 10 000 ventilator-days in 2020. For a PICU with 10% higher nurse turnover than the median turnover, there were 10 (95% CI, 8-13) more PICU complications per 10 000 patient-days in 2022.

CONCLUSIONS AND RELEVANCE

In this cross-sectional study of nurse staffing measures and patient outcomes during COVID-19, complex associations existed throughout the study years. More data are needed to determine optimal staffing strategies during times of workforce strain.

摘要

重要性

在新冠疫情期间,据报道儿科重症监护病房(PICU)更多地依赖通过人员配置机构雇佣的临时合同护士(机构护士)来填补因护士离职率上升而产生的缺口。目前尚不清楚这些护士人员配置的变化是否与患者预后相关。

目的

确定疫情期间PICU机构工作人员的比例或护士离职率是否与患者预后相关。

设计、设置和参与者:这项回顾性、多中心、关联数据库横断面研究于2019年1月1日至2022年12月31日在美国的PICU进行。参与者包括19岁以下入住PICU且在儿童医院协会儿科健康信息系统和PROSPECT医院基本数据库中均有数据的患者。数据于2023年3月15日至2024年8月1日进行分析。

暴露因素

机构护士的年度比例和护士离职率。

主要结局和测量指标

按每年机构护士或护理人员更替的中位数比例对PICU进行分组,检查其描述性特征。将可变人员配置指标定义为机构护士比例相对于2019年医院内基线的变化大于10%。使用年度人员配置中位数指标,通过多变量负二项式模型控制疾病严重程度和医院效应,以检查机构护士比例或护士离职率是否与死亡率、PICU并发症、中心静脉导管相关血流感染或呼吸机相关性肺炎相关。

结果

20个PICU共有218789例入院病例,患者中位年龄为45(四分位间距,9 - 138)个月(119997例[54.8%]为男性)。机构护士比例可变的PICU中,PICU并发症患者明显更多(120017例中的9695例[8.1%] vs 98772例中的7141例[7.2%];P < 0.001)。多变量分析表明,2020年每10000呼吸机日呼吸机相关性肺炎增加19例(95%置信区间,7 - 39)。对于护士离职率比中位数高10%的PICU,2022年每10000患者日PICU并发症多10例(95%置信区间,8 - 13)。

结论和相关性

在这项关于新冠疫情期间护士人员配置措施与患者预后的横断面研究中,整个研究期间存在复杂的关联。需要更多数据来确定劳动力紧张时期的最佳人员配置策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5804/12163677/ce968e3b8b79/jamanetwopen-e2515376-g001.jpg

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