Maharaj Ritesh
Department of Health Policy, London School of Economics and Political Science, London, United Kingdom.
PLoS One. 2025 Mar 26;20(3):e0318808. doi: 10.1371/journal.pone.0318808. eCollection 2025.
To evaluate the underlying mechanism of the volume-outcome relationship, namely learning-by-doing and scale economies in patients with sepsis.
Retrospective cohort study of adult patients with sepsis between 1 January 2010 and 31 December 2016 in 231 intensive care units (ICUs) in the UK.
The patient was the primary unit of analysis. Patient and ICU characteristics were included for risk adjustment. Demographic and clinical data were extracted from the Intensive Care National Audit and Research Centre (ICNARC) Case Mix Programme database.
We used the lags of quarterly sepsis volume in the ICU as a measure of the learning-by-doing effect.
The outcome of hospital mortality after ICU admission for sepsis was assessed using a multilevel probit regression model of patients nested in ICUs over quarters.
DATA COLLECTION/EXTRACTION METHODS: Critically ill patients with sepsis were identified by the Sepsis-3 consensus criteria.
Our study identified a cohort of 273001 patients with sepsis admitted to 231 ICUs in the UK. Our study finds that in comparison with contemporaneous volume, lagged volume had a stronger association with acute hospital mortality. This implies that the dynamic learning-by-doing effect is more important than the static economies of scale effect. This finding was consistent across alternate specifications of learning-by-doing.
The study provides evidence that the underlying mechanism for the volume-outcome relationship is learning-by-doing and not the static economies of scale. ICUs caring for patients with sepsis tend to improve by experience.
评估脓毒症患者容量-结局关系的潜在机制,即边做边学效应和规模经济效应。
对2010年1月1日至2016年12月31日期间英国231个重症监护病房(ICU)的成年脓毒症患者进行回顾性队列研究。
患者是主要分析单位。纳入患者和ICU特征进行风险调整。人口统计学和临床数据从重症监护国家审计与研究中心(ICNARC)病例组合项目数据库中提取。
我们将ICU中季度脓毒症容量的滞后值作为边做边学效应的衡量指标。
采用患者嵌套于ICU季度的多级概率回归模型评估脓毒症患者入住ICU后医院死亡的结局。
数据收集/提取方法:根据脓毒症-3共识标准识别重症脓毒症患者。
我们的研究确定了英国231个ICU收治的273001例脓毒症患者队列。我们的研究发现,与同期容量相比,滞后容量与急性医院死亡率的关联更强。这意味着动态的边做边学效应比静态的规模经济效应更重要。这一发现对于边做边学的替代设定是一致的。
该研究提供了证据,表明容量-结局关系的潜在机制是边做边学,而非静态的规模经济。照顾脓毒症患者的ICU往往会因经验而改善。