McLanders M L, Marshall S D, Sanderson P M, Liley H G
School of Psychology, The University of Queensland, Brisbane, QLD, Australia.
Department of Anaesthesia and Perioperative Medicine, Monash University, Melbourne, VIC, Australia.
J Perinatol. 2017 Apr;37(4):387-393. doi: 10.1038/jp.2016.235. Epub 2016 Dec 22.
The International Liaison Committee on Resuscitation (ILCOR) provides recommendations on neonatal resuscitation training and practice, which includes a template for a decision-making algorithm. We evaluated the design properties of the ILCOR algorithm and four adaptations by member resuscitation organizations using the validated Cognitive Aids in Medicine Assessment Tool (CMAT).
Two experts rated five neonatal resuscitation algorithms against the CMAT and against medical device design criteria.
The ILCOR algorithm scored 32 of a possible 60 CMAT points, showing an adherence rate to CMAT of 53%. The ILCOR algorithm scored higher than the design variations by member organizations. Nonetheless, there are design limitations in the ILCOR algorithm.
In principle, cognitive aids can improve neonatal resuscitation team performance; however, a considered design process that incorporates the full complexity of the 'procedure as performed' is needed to improve future versions of the algorithm for incorporation in international guidelines.
国际复苏联合委员会(ILCOR)提供有关新生儿复苏培训和实践的建议,其中包括一个决策算法模板。我们使用经过验证的医学认知辅助评估工具(CMAT)评估了ILCOR算法以及成员复苏组织的四种改编算法的设计特性。
两名专家根据CMAT和医疗设备设计标准对五种新生儿复苏算法进行了评分。
ILCOR算法在CMAT可能的60分中得分为32分,CMAT依从率为53%。ILCOR算法的得分高于成员组织的设计变体。尽管如此,ILCOR算法仍存在设计局限性。
原则上,认知辅助工具可以提高新生儿复苏团队的表现;然而,需要一个经过深思熟虑的设计过程,该过程要纳入“实际执行的程序”的全部复杂性,以改进算法的未来版本,以便纳入国际指南。