The cognitive aids in medicine assessment tool (CMAT) applied to five neonatal resuscitation algorithms

M. L. McLanders, S. D. Marshall, P. M. Sanderson, H. G. Liley

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Objective: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).Study Design:Two experts rated five neonatal resuscitation algorithms against the CMAT and against medical device design criteria.Results: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.Conclusion: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.Journal of Perinatology advance online publication, 22 December 2016; doi:10.1038/jp.2016.235.

Original languageEnglish
Pages (from-to)387-393
Number of pages7
JournalJournal of Perinatology
Volume37
Issue number4
DOIs
Publication statusPublished - 2017

Cite this

McLanders, M. L. ; Marshall, S. D. ; Sanderson, P. M. ; Liley, H. G. / The cognitive aids in medicine assessment tool (CMAT) applied to five neonatal resuscitation algorithms. In: Journal of Perinatology. 2017 ; Vol. 37, No. 4. pp. 387-393.
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The cognitive aids in medicine assessment tool (CMAT) applied to five neonatal resuscitation algorithms. / McLanders, M. L.; Marshall, S. D.; Sanderson, P. M.; Liley, H. G.

In: Journal of Perinatology, Vol. 37, No. 4, 2017, p. 387-393.

Research output: Contribution to journalArticleResearchpeer-review

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