1 Pulmonary, Allergy, and Critical Care Division, Department of Medicine, Perelman School of Medicine.
Ann Am Thorac Soc. 2014 Feb;11(2):167-72. doi: 10.1513/AnnalsATS.201306-141OC.
Time-varying demand for critical care may strain the capacities of intensive care units (ICUs) to provide optimal care. Intensivists and ICU nurses may be the best judges of the strain on their ICU. Yet, it is not clear what ICU and hospital factors contribute to this perceived sense of strain among ICU providers.
To identify measureable ICU and hospital factors associated with perceived strain by intensivists and ICU nurses.
During a 6-month prospective cohort study, we surveyed nurses and physicians responsible for bed management regarding the ability of a 24-bed medical ICU (MICU) to provide optimal critical care. We simultaneously assessed time-varying ICU-level factors, including patient census, number of admissions, average patient acuity, number of interhospital transfer requests, and censuses of other hospital units. To identify factors associated with strain, we used an algorithm for covariate selection in regression models that selects variables that contribute sufficiently to model prediction to justify their inclusion.
Of 254 surveys, 226 (89%) were completed by 18 charge nurses and 17 physicians. On a scale of 1 to 10 (where a higher score indicated more strain), the median perceived strain score among nurses was 6 (interquartile range, 3-7) and among physicians was 5 (interquartile range, 3-7), with moderate correlation within days (interclass correlation coefficient, 0.45; 95% confidence interval: 0.30, 0.60). Average patient acuity, MICU census, number of MICU admissions, and general ward census were included in the most efficient model of strain perceived by nurses. Only MICU census was strongly associated with strain perceived by physicians.
A model containing commonly available metrics of ICU census, average patient acuity, and the proportion of new admissions has validity as a model of ICU nurses' perceived ICU capacity strain. However, only ICU census was associated with increased perceived capacity strain by physicians, highlighting the need for involvement of multiple stakeholder groups to improve our understanding of ICU capacity strain.
对重症监护的需求是随时间变化的,这可能会使重症监护病房(ICU)的能力紧张,从而无法提供最佳的护理。重症监护医师和 ICU 护士可能是判断 ICU 紧张程度的最佳人选。然而,目前尚不清楚哪些 ICU 和医院因素会导致 ICU 医护人员产生这种紧张感。
确定与 ICU 护士和医师感知的紧张感相关的可衡量的 ICU 和医院因素。
在一项为期 6 个月的前瞻性队列研究中,我们调查了负责床位管理的护士和医师,了解 24 张床位的内科 ICU(MICU)提供最佳重症监护的能力。我们同时评估了 ICU 级别的时间变化因素,包括患者人数、入院人数、平均患者严重程度、向其他医院科室转科的请求数以及其他医院科室的人数。为了确定与紧张感相关的因素,我们使用了回归模型中一种用于协变量选择的算法,该算法选择对模型预测有足够贡献的变量,以证明其纳入的合理性。
在 254 份调查中,有 226 份(89%)由 18 名护士长和 17 名医师完成。在 1 到 10 的评分(分数越高表示紧张程度越高)中,护士感知的紧张程度中位数为 6(四分位距,3-7),医师为 5(四分位距,3-7),且日内相关性较高(组内相关系数,0.45;95%置信区间:0.30,0.60)。平均患者严重程度、MICU 人数、MICU 入院人数和普通病房人数均包含在护士感知的最有效的紧张感模型中。只有 MICU 人数与医师感知的紧张感强烈相关。
一个包含 ICU 人数、平均患者严重程度和新入院比例等常见 ICU 指标的模型,作为护士感知 ICU 容量紧张的模型具有有效性。然而,只有 ICU 人数与医师感知的容量紧张感相关,这凸显了需要多利益相关者群体的参与,以提高我们对 ICU 容量紧张感的理解。