1Hospices Civils de Lyon, Pôle Information Médicale Évaluation Recherche, Lyon, France. 2Université Claude Bernard Lyon 1, Faculté de Médecine Lyon Est, Lyon, France. 3Hospices Civils de Lyon, Service de Réanimation Médicale, Hôpital de la Croix Rousse, Lyon, France. 4IMRB INSERM 955Eq13, Créteil, France. 5Health Services and Performance Research Lab, Lyon, France 6Department of Anesthesiology and Critical Care Medicine, Hospices Civils de Lyon, Croix Rousse Hospital, Lyon, France. 7Hospices Civils de Lyon, Service de Réanimation Neurologique, Hôpital Pierre Wertheimer, Groupement Hospitalier Est, Lyon, France. 8Hospices Civils de Lyon, Fédération Hospitalo-Universitaire d'Anesthésie-Réanimation, Hôpital Neurologique P. Wertheimer, France. 9Hospices Civils de Lyon, Service d'Anesthésie Réanimation, Centre Hospitalier Lyon Sud, Lyon, France. 10Université Claude Bernard Lyon 1, Faculté de Médecine Lyon Sud, Lyon, France. 11Hospices Civils de Lyon, Hôpital Louis Pradel, Service d'Anesthésie-Réanimation, Lyon, France. 12Anesthesiology and Intensive care Medicine, Edouard Herriot hospital, Hospices Civils de Lyon, University Claude Bernard Lyon 1, Lyon, France.
Crit Care Med. 2015 Aug;43(8):1587-94. doi: 10.1097/CCM.0000000000001015.
Matching healthcare staff resources to patient needs in the ICU is a key factor for quality of care. We aimed to assess the impact of the staffing-to-patient ratio and workload on ICU mortality.
We performed a multicenter longitudinal study using routinely collected hospital data.
Information pertaining to every patient in eight ICUs from four university hospitals from January to December 2013 was analyzed.
A total of 5,718 inpatient stays were included.
None.
We used a shift-by-shift varying measure of the patient-to-caregiver ratio in combination with workload to establish their relationships with ICU mortality over time, excluding patients with decision to forego life-sustaining therapy. Using a multilevel Poisson regression, we quantified ICU mortality-relative risk, adjusted for patient turnover, severity, and staffing levels. The risk of death was increased by 3.5 (95% CI, 1.3-9.1) when the patient-to-nurse ratio was greater than 2.5, and it was increased by 2.0 (95% CI, 1.3-3.2) when the patient-to-physician ratio exceeded 14. The highest ratios occurred more frequently during the weekend for nurse staffing and during the night for physicians (p < 0.001). High patient turnover (adjusted relative risk, 5.6 [2.0-15.0]) and the volume of life-sustaining procedures performed by staff (adjusted relative risk, 5.9 [4.3-7.9]) were also associated with increased mortality.
This study proposes evidence-based thresholds for patient-to-caregiver ratios, above which patient safety may be endangered in the ICU. Real-time monitoring of staffing levels and workload is feasible for adjusting caregivers' resources to patients' needs.
在 ICU 中将医护人员资源与患者需求相匹配是保证护理质量的关键因素。本研究旨在评估人员配备与患者比例和工作量对 ICU 死亡率的影响。
我们进行了一项多中心纵向研究,使用常规收集的医院数据。
分析了 2013 年 1 月至 12 月来自 4 所大学医院的 8 个 ICU 中每位患者的信息。
共纳入 5718 例住院患者。
无。
我们使用了一种逐班次变化的患者与护理人员比例的测量方法,并结合工作量,以建立它们与 ICU 死亡率之间的关系,同时排除了放弃生命支持治疗的患者。使用多水平泊松回归,我们量化了 ICU 死亡率的相对风险,调整了患者周转率、严重程度和人员配备水平。当患者与护士的比例大于 2.5 时,死亡风险增加了 3.5(95%可信区间,1.3-9.1),当患者与医生的比例超过 14 时,死亡风险增加了 2.0(95%可信区间,1.3-3.2)。护士人员配备的最高比例更频繁地发生在周末,而医生的最高比例则发生在夜间(p < 0.001)。高患者周转率(调整后的相对风险,5.6 [2.0-15.0])和工作人员进行的生命支持程序数量(调整后的相对风险,5.9 [4.3-7.9])也与死亡率增加相关。
本研究提出了患者与护理人员比例的基于证据的阈值,超过这些阈值可能会危及 ICU 中患者的安全。实时监测人员配备水平和工作量对于根据患者需求调整护理人员资源是可行的。