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

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.

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Acknowledgements

An Australian Postgraduate Award and a Mater Research Institute top-up scholarship to MM supported this research.

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Correspondence to M L McLanders.

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Competing interests

HL wishes to declare co-authorship of both the ILCOR and ANZCOR algorithms. The remaining authors declare no conflict of interest.

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McLanders, M., Marshall, S., Sanderson, P. et al. The cognitive aids in medicine assessment tool (CMAT) applied to five neonatal resuscitation algorithms. J Perinatol 37, 387–393 (2017). https://doi.org/10.1038/jp.2016.235

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