医学
梅德林
重症监护医学
急诊医学
医疗急救
政治学
法学
作者
Brett A. Johnson,Anoosha Moturu,Shelby Eagle,James W. Fleshman,Frank G. Opelka,Bruce L. Hall,Clifford Y. Ko
出处
期刊:Annals of Surgery
[Lippincott Williams & Wilkins]
日期:2025-08-12
卷期号:283 (1): 1-9
标识
DOI:10.1097/sla.0000000000006878
摘要
Objective: To evaluate the effect of centralized surgical care on clinical and operational performance across multi-hospital systems. Background: Centralized care is increasingly promoted to enhance surgical value within multi-hospital systems, yet its adoption is inconsistent and its effect across surgical complexity levels remains unclear. Methods: A systematic review of PubMed, Embase, and Web of Science (inception–January 30, 2025) identified studies evaluating centralized surgical care at the hospital-level (central vs affiliated hospitals) and system-level (degree of centralization, pre-post redesign) comparisons. Surgical care was classified as complex or non-complex. Findings were synthesized narratively, and certainty of evidence was assessed. Results: Of 4737 screened articles, 18 studies (2019–2024) met inclusion criteria. Among the 54 outcomes with statistically significant associations, the certainty of evidence was rated as moderate/high in 12 (22%), low in 13 (24%), and very low in 29 (54%). Centralized delivery of complex surgical care was associated with improvements in mortality (8/10 studies), complication rates (5/7), failure-to-rescue (4/4), long-term survival (4/6), and adherence to evidence-based standards (7/7). Operational benefits included more efficient resource utilization (3/3), shorter hospital stay (2/3), and lower costs (1/2). In contrast, centralizing non-complex care demonstrated limited clinical benefits and was frequently associated with diminished operational efficiency. Studies evaluating deliberate system redesign were limited but reported substantial improvements in performance. Conclusions: Findings support a selective, complexity-informed approach to organizing surgical care to enhance system value. Further research is needed to evaluate implementation strategies and determine the scalability of these models across multi-hospital systems.
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