Division of Pulmonary, Allergy, and Critical Care.
Palliative and Advanced Illness Research Center, and.
Ann Am Thorac Soc. 2020 Nov;17(11):1440-1447. doi: 10.1513/AnnalsATS.202003-228OC.
Prior approaches to measuring healthcare capacity strain have been constrained by using individual care units, limited metrics of strain, or general, rather than disease-specific, populations. We sought to develop a novel composite strain index and measure its association with intensive care unit (ICU) admission decisions and hospital outcomes. Using more than 9.2 million acute care encounters from 27 Kaiser Permanente Northern California and Penn Medicine hospitals from 2013 to 2018, we deployed multivariable ridge logistic regression to develop a composite strain index based on hourly measurements of 22 capacity-strain metrics across emergency departments, wards, step-down units, and ICUs. We measured the association of this strain index with ICU admission and clinical outcomes using multivariable logistic and quantile regression. Among high-acuity patients with sepsis ( = 90,150) and acute respiratory failure (ARF; = 45,339) not requiring mechanical ventilation or vasopressors, strain at the time of emergency department disposition decision was inversely associated with the probability of ICU admission (sepsis: adjusted probability ranging from 29.0% [95% confidence interval, 28.0-30.0%] at the lowest strain index decile to 9.3% [8.7-9.9%] at the highest strain index decile; ARF: adjusted probability ranging from 47.2% [45.6-48.9%] at the lowest strain index decile to 12.1% [11.0-13.2%] at the highest strain index decile; < 0.001 at all deciles). Among subgroups of patients who almost always or never went to the ICU, strain was not associated with hospital length of stay, mortality, or discharge disposition (all ≥ 0.13). Strain was also not meaningfully associated with patient characteristics. Hospital strain, measured by a novel composite strain index, is strongly associated with ICU admission among patients with sepsis and/or ARF. This strain index fulfills the assumptions of a strong within-hospital instrumental variable for quantifying the net benefit of admission to the ICU for patients with sepsis and/or ARF.
先前衡量医疗保健能力压力的方法受到使用单个护理单元、压力指标有限或一般(而非特定疾病)人群的限制。我们试图开发一种新的综合压力指数,并衡量其与重症监护病房(ICU)入院决策和医院结局的关系。我们使用了 2013 年至 2018 年来自 27 家 Kaiser Permanente 北加州和宾夕法尼亚大学医学中心的超过 920 万例急性护理就诊数据,通过多变量岭逻辑回归,根据急诊科、病房、降级单位和 ICU 中 22 个压力指标的每小时测量值,开发了一种综合压力指数。我们使用多变量逻辑回归和分位数回归来衡量该压力指数与 ICU 入院和临床结局的关系。在需要机械通气或血管加压药的脓毒症( = 90,150)和急性呼吸衰竭(ARF; = 45,339)的高风险患者中,急诊科处置决策时的压力与 ICU 入院的概率呈反比(脓毒症:调整后概率从最低压力指数十分位数的 29.0%(95%置信区间,28.0-30.0%)到最高压力指数十分位数的 9.3%(8.7-9.9%);ARF:调整后概率从最低压力指数十分位数的 47.2%(45.6-48.9%)到最高压力指数十分位数的 12.1%(11.0-13.2%);所有十分位数均 < 0.001)。在几乎总是或从不进入 ICU 的患者亚组中,压力与住院时间、死亡率或出院去向无关(均 ≥ 0.13)。压力与患者特征也没有明显关系。通过一种新的综合压力指数测量的医院压力与脓毒症和/或 ARF 患者的 ICU 入院密切相关。该压力指数满足了一种强有力的院内工具变量的假设,可用于量化脓毒症和/或 ARF 患者入住 ICU 的净收益。