Kelen Gabor D, Sauer Lauren, Clattenburg Eben, Lewis-Newby Mithya, Fackler James
The Department of Emergency Medicine,The Johns Hopkins University School of Medicine,Baltimore,Maryland.
the Department of Pediatrics,University of Washington School of Medicine,Seattle,Washington.
Disaster Med Public Health Prep. 2015 Jun;9(3):283-90. doi: 10.1017/dmp.2015.27. Epub 2015 Mar 27.
Critically insufficient pediatric hospital capacity may develop during a disaster or surge event. Research is lacking on the creation of pediatric surge capacity. A system of "reverse triage," with early discharge of hospitalized patients, has been developed for adults and shows great potential but is unexplored in pediatrics.
We conducted an evidence-based modified-Delphi consensus process with 25 expert panelists to derive a disposition classification system for pediatric inpatients on the basis of risk tolerance for a consequential medical event (CME). For potential validation, critical interventions (CIs) were derived and ranked by using a Likert scale to indicate CME risk should the CI be withdrawn or withheld for early disposition.
Panelists unanimously agreed on a 5-category risk-based disposition classification system. The panelists established upper limit (mean) CME risk for each category as <2% (interquartile range [IQR]: 1-2%); 7% (5-10%), 18% (10-20%), 46% (20-65%), and 72% (50-90%), respectively. Panelists identified 25 CIs with varying degrees of CME likelihood if withdrawn or withheld. Of these, 40% were ranked high risk (Likert scale mean ≥7) and 32% were ranked modest risk (≤3).
The classification system has potential for an ethically acceptable risk-based taxonomy for pediatric inpatient reverse triage, including identification of those deemed safe for early discharge during surge events.
在灾难或需求激增事件期间,儿科医院的能力可能严重不足。关于建立儿科应急能力的研究尚缺。一种针对成人的“逆向分诊”系统已被开发出来,该系统通过让住院患者提前出院来实现,显示出巨大潜力,但在儿科领域尚未得到探索。
我们与25名专家小组成员进行了基于证据的改良德尔菲共识过程,以基于对重大医疗事件(CME)的风险承受能力,为儿科住院患者推导一种处置分类系统。为了进行潜在验证,我们推导了关键干预措施(CI),并使用李克特量表对其进行排名,以表明如果为了提前处置而撤销或不采取CI,CME的风险情况。
专家小组成员一致同意采用基于风险的5类处置分类系统。专家小组成员为每一类确定的CME风险上限(平均值)分别为<2%(四分位间距[IQR]:1 - 2%);7%(5 - 10%),18%(10 - 20%),46%(20 - 65%)和72%(50 - 90%)。专家小组成员确定了25项CI,如果撤销或不采取这些措施,CME发生的可能性各不相同。其中,40%被列为高风险(李克特量表平均值≥7),32%被列为中等风险(≤3)。
该分类系统有可能成为一种符合伦理道德且基于风险的儿科住院患者逆向分诊分类法,包括识别在需求激增事件期间被认为适合提前出院的患者。