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分析劳动分娩单位的异质性:空间和设计的定量分析。

Analyzing the heterogeneity of labor and delivery units: A quantitative analysis of space and design.

机构信息

Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Palo Alto, California, United States of America.

Department of Pediatrics, Neonatal and Developmental Medicine, School of Medicine, Stanford University, Palo Alto, California, United States of America.

出版信息

PLoS One. 2018 Dec 26;13(12):e0209339. doi: 10.1371/journal.pone.0209339. eCollection 2018.

Abstract

This study assessed labor and delivery (L&D) unit space and design, and also considered correlations between physical space measurements and clinical outcomes. Design and human factors research has increased standardization in high-hazard industries, but is not fully utilized in medicine. Emergency department and intensive care unit space has been studied, but optimal L&D unit design is undefined. In this prospective, observational study, a multidisciplinary team assessed physical characteristics of ten L&D units. Design measurements were analyzed with California Maternal Quality Care Collaborative (CMQCC) data from 34,161 deliveries at these hospitals. The hospitals ranged in delivery volumes (<1000->5000 annual deliveries) and cesarean section rates (19.6%-39.7%). Within and among units there was significant heterogeneity in labor room (LR) and operating room (OR) size, count, and number of configurations. There was significant homogeneity of room equipment. Delivery volumes correlated with unit size, room counts, and cesarean delivery rates. Relative risk of cesarean section was modestly increased when certain variables were above average (delivery volume, unit size, LR count, OR count, OR configuration count, LR to OR distance, unit utilization) or below average (LR size, OR size, LR configuration count). Existing variation suggests a gold standard design has yet to be adopted for L&D. A design-centered approach identified opportunities for standardization: 1) L&D unit size and 2) room counts based on current or projected delivery volume, and 3) LR and OR size and equipment. When combined with further human factors research, these guidelines could help design the L&D unit of the future.

摘要

本研究评估了产房(L&D)的空间和设计,并考虑了物理空间测量值与临床结果之间的相关性。设计和人为因素研究已经在高风险行业实现了标准化,但在医学领域尚未得到充分应用。已经对急诊室和重症监护病房的空间进行了研究,但最佳的 L&D 病房设计尚未确定。在这项前瞻性观察研究中,一个多学科团队评估了十个 L&D 病房的物理特征。对这些医院 34161 例分娩的加利福尼亚产妇质量护理协作(CMQCC)数据进行了设计测量分析。这些医院的分娩量(<1000-5000 例/年)和剖宫产率(19.6%-39.7%)差异较大。在病房和手术室中,房间大小、数量和配置的差异很大。但房间设备的差异很小。分娩量与单位大小、房间数量和剖宫产率相关。当某些变量高于平均值(分娩量、单位大小、LR 数量、OR 数量、OR 配置数量、LR 到 OR 的距离、单位利用率)或低于平均值(LR 大小、OR 大小、LR 配置数量)时,剖宫产的相对风险会适度增加。现有差异表明,L&D 尚未采用黄金标准设计。以设计为中心的方法确定了标准化的机会:1)基于当前或预计分娩量的 L&D 单位大小和 2)房间数量,以及 3)LR 和 OR 的大小和设备。当与进一步的人为因素研究相结合时,这些准则可以帮助设计未来的 L&D 病房。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58d3/6306211/b29d544b3f69/pone.0209339.g001.jpg

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