Deparment of Anaesthesia and Perioperative Medicine, Guy's and Saint Thomas' NHS Foundation Trust, London, UK
King's College London, London, UK.
Reg Anesth Pain Med. 2020 Sep;45(9):720-726. doi: 10.1136/rapm-2020-101397. Epub 2020 Jul 22.
Block rooms allow parallel processing of surgical patients with the purported benefits of improving resource utilization and patient outcomes. There is disparity in the literature supporting these suppositions. We aimed to synthesize the evidence base for parallel processing by conducting a systematic review and meta-analysis. A systematic search was undertaken of Medline, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), the National Health Service (NHS) National Institute for Health Research Centre for Reviews and Dissemination database, and Google Scholar for terms relating to regional anesthesia and block rooms. The primary outcome was anesthesia-controlled time (ACT; time from entry of the patient into the operating room (OR) until the start of surgical prep plus surgical closure to exit of patient from the OR). Secondary outcomes of interest included other resource-utilization parameters such as turnover time (TOT; time between the exit of one patient from the OR and the entry of another), time spent in the postanesthesia care unit (PACU), OR throughput, and clinical outcomes such as pain scores, nausea and vomiting, and patient satisfaction. Fifteen studies were included involving 8888 patients, of which 3364 received care using a parallel processing model. Parallel processing reduced ACT by a mean difference (95% CI) of 10.4 min (16.3 to 4.5; p<0.0001), TOT by 16.1 min (27.4 to 4.8; p<0.0001) and PACU stay by 26.6 min (47.1 to 6.1; p=0.01) when compared with serial processing. Moreover, parallel processing increased daily OR throughout by 1.7 cases per day (p<0.0001). Clinical outcomes all favored parallel processing models. All studies showed moderate-to-critical levels of bias. Parallel processing in regional anesthesia appears to reduce the ACT, TOT, PACU time and improved OR throughput when compared with serial processing. PROSPERO CRD42018085184.
单间可以让外科患者同时进行手术,据称这样可以提高资源利用率和改善患者结局。但支持这种假设的文献存在差异。我们旨在通过系统评价和荟萃分析来综合并行处理的证据基础。我们对 Medline、Embase、Web of Science、护理学和联合健康文献累积索引(CINAHL)、英国国家卫生服务体系(NHS)国家卫生研究院评论和传播中心数据库以及 Google Scholar 进行了系统检索,检索内容涉及区域麻醉和单间的相关术语。主要结局指标是麻醉控制时间(ACT;患者进入手术室(OR)到手术准备加手术关闭,患者离开 OR 的时间)。次要结局指标包括其他资源利用参数,如周转时间(TOT;一位患者离开 OR 到另一位患者进入 OR 的时间)、麻醉后恢复室(PACU)停留时间、OR 吞吐量以及疼痛评分、恶心和呕吐和患者满意度等临床结局。共纳入 15 项研究,涉及 8888 例患者,其中 3364 例采用并行处理模式进行治疗。与串行处理相比,并行处理可使 ACT 平均差值(95%CI)减少 10.4 分钟(16.3 至 4.5;p<0.0001)、TOT 减少 16.1 分钟(27.4 至 4.8;p<0.0001)和 PACU 停留时间减少 26.6 分钟(47.1 至 6.1;p=0.01)。此外,与串行处理相比,并行处理每天可增加 1.7 例 OR 吞吐量(p<0.0001)。所有临床结局均支持并行处理模式。所有研究均显示出中等到严重的偏倚水平。与串行处理相比,区域麻醉中的并行处理似乎可以减少 ACT、TOT、PACU 时间,并提高 OR 吞吐量。PROSPERO CRD42018085184。