Regionalized Critical Care May Be Feasible, But Will It Improve Outcomes?
Regionalized Critical Care May Be Feasible, But Will It Improve Outcomes?
复制标题
区域化重症监护可能是可行的,但它会改善结果吗?
DOI:
10.1097/ccm.0000000000001174
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发表时间:
2015
影响因子:
8.8
通讯作者:
Brown,SydneyES
中科院分区:
文献类型:
--
作者:
Brown,SydneyES
Regionalized critical care is a system in which the sickest patients are triaged while en route to the hospital to specialized ICUs located in referral hospitals. Such a system is currently utilized for trauma and cardiac arrest patients with demonstrated benefits (1, 2), and it has the potential to both improve outcomes among other populations of critically ill patients and the efficiency of referral and nonreferral hospitals (2–4). As a result, US critical care professional societies and the Institute of Medicine have advocated the adoption of regionalization for the sickest critically ill patients as well (5, 6).However, there are significant gaps in the literature regarding the feasibility of regionalization, including the effects of prehospital triage on emergency medical services (EMS) transport times and on ICU occupancy. The concern is that with triage to any hospital other than the closest available, prehospital transport times could increase such that the benefits of receiving care at a referral center might be outweighed by delays in care received or that referral centers could become too strained to provide optimal care to these patients (7–9). The study by Seymour et al (11) in this issue of Critical Care Medicine seeks to address these questions. Using an administrative dataset of over 100,000 adult nontrauma, non–cardiac arrest, critically ill patients who received care in 14 hospitals located in King County, WA, Seymour and his colleagues (10, 11) simulated a system of prehospital triage to designated referral centers using a validated prehospital risk score employed in the field by emergency medical technicians. Various scenarios involving up-triage of the sickest patients to referral centers and down-triage of less sick patients to the nearest hospital with an available bed were assessed for effects on prehospital transport time and ICU occupancy. EMS incidents were geolocated, and Google Maps and ArcGIS (http://www. arcgis. com) were used to determine and time routes taken to destination hospitals, accounting for fluctuations in traffic patterns (12).